associate scientist

Axle

<div><div><p>(ID: 2026-1819)</p><p><b><br>
Axle</b> is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH).</p>
</div>
<div><p><b>Benefits We Offer:</b></p>
<ul>
<li>100% Medical, Dental &amp; Vision Coverage for Employees</li>
<li>Paid Time Off and Paid Holidays</li>
<li>401K match up to 5%</li>
<li>Educational Benefits for Career Growth</li>
<li>Employee Referral Bonus</li>
<li>Flexible Spending Accounts:
<ul><li>Healthcare (FSA)</li>
<li>Parking Reimbursement Account (PRK)</li>
<li>Dependent Care Assistant Program (DCAP)</li>
<li>Transportation Reimbursement Account (TRN)</li>
</ul>
</li></ul></div><div><div><b>Axle </b>is seeking a skilled <b>Associate Scientist</b> to join our team at NIH to support vaccine and monoclonal antibody research through the development and execution of advanced immune assays (e.g., ELISA, Western blot) and hypothesis-driven studies. The role involves managing research projects, analyzing and interpreting data, and collaborating with cross-functional teams while contributing to scientific publications and data-driven decision-making.</div><br>
<div></div>
<div><b><i>
Technical Requirements:</i></b></div>
<ul>
<li>Conducts analytical assay development and performs analytical assays in support of the assessment of clinical trial materials for quality and safety.</li>
<li>
<div>Designs and executes complex immune- assays, including ELISA, Western blot, Octet, residual immune assays techniques, to support vaccine research and development initiatives.</div>
</li>
<li><div>Independently plan, design, and execute multiple hypothesis-driven research projects within bio-separation technology, applying sound scientific judgment.</div>
</li>
<li><div>Develop and implement experimental plans; analyze and interpret data with scientific rigor; and generate evidence-based conclusions that advance new methods and investigational findings.</div>
</li>
<li><div>Define clear problem statements, formulate testable scientific hypotheses, and apply conceptual thinking to guide research direction.</div>
</li>
<li><div>Manage projects to meet established goals within timeline and budget constraints, initially supporting mAb and vaccine programs with potential expansion to mRNA/LNP platforms.</div>
</li>
<li><div>Prepare and clearly present research findings at internal meetings and contribute to internal and external scientific forums.</div>
</li>
<li><div>Communicate effectively within cross-functional teams, organize meetings with defined objectives and deliverables, and contribute meaningfully to team discussions.</div>
</li>
<li><div>Provide forward-looking scientific insight to support go/no-go decisions and recommend emerging technologies for strategic consideration.</div>
</li>
<li><div>Publish new findings and methods. Evaluate new technologies.</div>
</li>
<li><div>Work under general supervision while maintaining a high degree of independence</div>
</li>
<li><div>Work focus is on immune assays for mAb and vaccine proteins</div>
</li>
<li><div>Prior industry experience preferred but not required.</div>
</li>
</ul><div><b><i>Specific</i></b><b><i> </i></b><b><i>Qualifications:</i></b></div>
<ul>
<li>Ph.D. in a scientific field. Three to five (3+, 5+) years of specialized experience plus a Master's degree is equivalent to a Ph.D. Five to eight (5+, 8+) years of specialized experience plus a BA/BS degree is equivalent to a Ph.D.</li>
<li>Nine (9) years of experience in a science related field.</li>
<li>Demonstrates expert knowledge working in the research laboratory environment. Computer skills to include MS Office Suite.</li>
<li>Must be a team player who can effectively work with members from cross-functional departments.</li>
<li>Demonstrated knowledge of maintaining accurate and detailed records.</li>
<li>Strong oral and written communication skills.</li>
<li>Familiarity with computer software including word processing, data evaluation, and project timeline management.</li></ul></div><br>
<br>
<div><p><b>Disclaimer:</b> The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed.</p></div><br>
<div>
<p>The diversity of Axle's employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate.</p></div><br>
<div>
<p>Accessibility: If you need an accommodation as part of the employment process please contact: careers@axleinfo.com</p></div><br>
<div>
<p>This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate's experience, qualifications, skills, and location.</p></div></div>

Associate Scientist

Vaxcyte

<div><div><h3 class="jobSectionHeader"><b>Join our Mission to Protect Humankind!</b></h3>
<div>Vaxcyte is a clinical-stage vaccine innovation company engineering high-fidelity vaccines to protect humankind from the consequences of bacterial diseases, which have serious and costly health consequences when left unchecked. Working to eradicate or treat bacterial infections such as invasive pneumococcal disease, Group A Strep, and Shigella is just the beginning. Our path to success is clear and well-defined, and Vaxcyte is set up to go the distance.</div>
<div></div>
<div><b>WHAT</b> we do is every bit as important as <b>HOW</b> we do it! Our work together is guided by four enduring core values:</div>
<div></div>
<ul><li>RETHINK CONVENTION: We bring creative and intellectual diversity to every facet of the work we do in order to innovate and re-innovate the way vaccines are delivered.</li></ul>
<div></div>
<ul><li>AIM HIGH: We embody our collectively audacious goal to courageously make the most complex biologics ever attempted to protect humankind.</li></ul>
<div></div>
<ul><li>LEAD WITH HEART: Everyone leads at Vaxcyte with a kindness-first, inclusive approach to collaboration and vigorous debate that advances our business objectives.</li></ul>
<div></div>
<ul><li>MODEL EXCELLENCE: The magnitude of our challenge requires our shared commitment to demonstrating integrity, accountability, equality and clarity across communications and decision making.</li></ul></div><div><h3 class="jobSectionHeader"><b>
Summary:</b></h3>
<p>
Vaxcyte&rsquo;s Research team uses a broad palette of chromatographic tools to purify diverse vaccine antigens. Applicants must have practical, hands-on experience with multiple chromatographic modalities (not limited to monoclonal antibody/Protein A workflows). Experience should include selection, screening, development, scale-up and characterization of various chromatography techniques.</p>
<h3 class="jobSectionHeader"><b>
Essential Functions:</b></h3>
<ul><li>Execute the following AKTA FPLC chromatography techniques:
<ul><li>Immobilized metal affinity chromatography (IMAC)</li>
<li>Ion-exchange chromatography (IEX)</li>
<li>Hydrophobic interaction chromatography (HIC)</li>
<li>Size-exclusion chromatography (SEC)</li>
<li>Hydroxyapatite (CHT / HA)</li>
</ul></li><li>Designing chromatography trains to reduce host cell protein, endotoxin and aggregates using complementary modalities.</li>
<li>Demonstrated DoE experience for multimodal optimization is a plus.</li>
<li>Membrane chromatography for high-throughput contaminant removal or virus/VLP processing and as a scale-friendly polishing/scavenging step.</li>
<li>Keep accurate and current records of development experiments and/or project related activities in an electronic laboratory notebook.</li>
<li>Present data from experiments to the team and contribute to technical discussions.</li>
<li>Work within a team environment and provides support as necessary to further the team&rsquo;s initiatives.</li>
</ul><h3 class="jobSectionHeader"><b>Requirements:</b></h3>
<ul><li>BS in Biochemistry, Molecular Biology or a relevant science considered, with minimum of 2 years of relevant industry experience or MS with minimum of 1 year of relevant industry experience.</li>
<li>Experience with diverse protein targets, bacterial and eukaryotic recombinant proteins, small/large subunit vaccine antigens, fusion proteins, multimeric complexes, glycoproteins, and VLPs.</li>
<li>The role requires demonstrated success with alternative capture/polishing methods and orthogonal cleaning strategies appropriate for potential vaccine antigens.</li>
<li>Preferred experience with Cell-free protein synthesis system.</li>
<li>Familiarity with automation or high throughput workflows such as (96-well plates) and UNICORN/AKTA software DoE integrations.</li>
<li>Experience in process development.</li>
<li>Strong interpersonal skills to collaborate well within the team and excellent written and verbal communication skills.</li>
</ul><div><b>Reports to: </b>Scientist II, Research</div>
<div></div>
<div><b>Location: </b>San Carlos, CA</div>
<div></div>
<div><b>Compensation:</b></div>
<div>The compensation package will be competitive and includes comprehensive benefits and an equity component.</div>
<div></div>
<div><b>Salary Range: </b>$105,000 &ndash; $123,000 (SF Bay Area)</div></div><div><p><i>
We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.</i></p></div></div><p></p>

Associate Scientist II, Research

Information Technology Senior Management Forum

<div><div><p>Posted Date</p>
<p>4/10/2026</p>
</div><div><p>Description</p>
<div>Principal Associate, Data Scientist<p>
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.</p><p>
As a Data Scientist at Capital One, you&rsquo;ll be part of a team that&rsquo;s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.</p><p><b>
Team Description</b></p><p>
People Strategy &amp; Analytics brings data, analytics, and insights to shape critical talent decisions and strategy at Capital One. We work closely with HR partners and senior executives in shaping talent policy, automating real-time data, and improving talent decision-making. The team is comprised of people with diverse skills and backgrounds including: data analysts, data scientists, business analysts, HR specialists, project managers, and industrial/organizational psychologists.</p><p>
As a Data Scientist on Capital One&rsquo;s People Strategy &amp; Analytics team, you&rsquo;ll be on the leading edge of applying analytics to talent, combining artificial intelligence, machine learning, and social science to build models that seek to understand associate behavior, improve HR efficiency and tools, and inform strategies aimed at expanding Capital One&rsquo;s talent advantage.</p><p><b>
Role Description</b></p><p><b>
In this role, you will:</b></p><ul><li>
Build natural language processing and machine learning models through all phases of development, from design through training, evaluation, validation, and implementation</li><li>
Apply expertise in using open source large language models (LLMs) through prompt engineering, retrieval-augmented generation (RAG) and evaluation metric frameworks for business specific applications</li><li>
Partner with a cross-functional team of data scientists, software engineers, business analysts, and product managers to deliver industry leading HR tools and AI-powered products</li><li>
Leverage a broad stack of technologies &mdash; Python, SQL, AWS, LangChain, Hugging Face Transformers, VectorDBs, Pytorch/TensorFlow, and more &mdash; to reveal the insights hidden within large volumes of numeric and textual data</li><li>
Flex your interpersonal skills to collaborate with internal stakeholders, translating complex data science work into tangible, aligned business outcomes.</li></ul><p><b>
The Ideal Candidate is:</b></p><ul><li>
Passionate about human capital: You are excited by the value we can add to our company and our associates, and are inspired to help make a large positive impact.</li><li>
Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.</li><li>
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You&rsquo;re not afraid to share a new idea.</li><li>
Technical. You&rsquo;re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.</li><li>
Statistically-minded. You&rsquo;ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.</li></ul><p><b>
Basic Qualifications:</b></p><ul><li>
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:<ul><li>
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics</li><li>
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 3 years of experience performing data analytics</li><li>
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)</li></ul></li></ul><p><b>
Preferred Qualifications:</b></p><ul><li>
Master&rsquo;s Degree in &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics)</li><li>
At least 1 year of experience working with AWS</li><li>
At least 3 years&rsquo; experience in Python</li><li>
At least 3 years&rsquo; experience with machine learning</li><li>
At least 3 years&rsquo; experience with SQL</li><li>
At least 2 years&rsquo; experience with relational databases such as Snowflake</li><li>
At least 2 years&rsquo; experience with AI/ML tools and ecosystems such as Hugging Face, VectorDBs or Pytorch/TensorFlow</li></ul><p>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.</p><p>
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.</p>
McLean, VA: $161,800 - $184,600 for Princ Associate, Data Science<p></p><p><br>
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.</p>
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.<p>
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.</p>
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.<p>
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.</p><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.</p><p>
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</p>
Principal Associate, Data Scientist<p>
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.</p><p>
As a Data Scientist at Capital One, you&rsquo;ll be part of a team that&rsquo;s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.</p><p><b>
Team Description</b></p><p>
People Strategy &amp; Analytics brings data, analytics, and insights to shape critical talent decisions and strategy at Capital One. We work closely with HR partners and senior executives in shaping talent policy, automating real-time data, and improving talent decision-making. The team is comprised of people with diverse skills and backgrounds including: data analysts, data scientists, business analysts, HR specialists, project managers, and industrial/organizational psychologists.</p><p>
As a Data Scientist on Capital One&rsquo;s People Strategy &amp; Analytics team, you&rsquo;ll be on the leading edge of applying analytics to talent, combining artificial intelligence, machine learning, and social science to build models that seek to understand associate behavior, improve HR efficiency and tools, and inform strategies aimed at expanding Capital One&rsquo;s talent advantage.</p><p><b>
Role Description</b></p><p><b>
In this role, you will:</b></p><ul><li>
Build natural language processing and machine learning models through all phases of development, from design through training, evaluation, validation, and implementation</li><li>
Apply expertise in using open source large language models (LLMs) through prompt engineering, retrieval-augmented generation (RAG) and evaluation metric frameworks for business specific applications</li><li>
Partner with a cross-functional team of data scientists, software engineers, business analysts, and product managers to deliver industry leading HR tools and AI-powered products</li><li>
Leverage a broad stack of technologies &mdash; Python, SQL, AWS, LangChain, Hugging Face Transformers, VectorDBs, Pytorch/TensorFlow, and more &mdash; to reveal the insights hidden within large volumes of numeric and textual data</li><li>
Flex your interpersonal skills to collaborate with internal stakeholders, translating complex data science work into tangible, aligned business outcomes.</li></ul><p><b>
The Ideal Candidate is:</b></p><ul><li>
Passionate about human capital: You are excited by the value we can add to our company and our associates, and are inspired to help make a large positive impact.</li><li>
Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.</li><li>
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You&rsquo;re not afraid to share a new idea.</li><li>
Technical. You&rsquo;re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.</li><li>
Statistically-minded. You&rsquo;ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.</li></ul><p><b>
Basic Qualifications:</b></p><ul><li>
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:<ul><li>
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics</li><li>
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 3 years of experience performing data analytics</li><li>
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)</li></ul></li></ul><p><b>
Preferred Qualifications:</b></p><ul><li>
Master&rsquo;s Degree in &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics)</li><li>
At least 1 year of experience working with AWS</li><li>
At least 3 years&rsquo; experience in Python</li><li>
At least 3 years&rsquo; experience with machine learning</li><li>
At least 3 years&rsquo; experience with SQL</li><li>
At least 2 years&rsquo; experience with relational databases such as Snowflake</li><li>
At least 2 years&rsquo; experience with AI/ML tools and ecosystems such as Hugging Face, VectorDBs or Pytorch/TensorFlow</li></ul><p>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.</p><p>
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.</p>
McLean, VA: $161,800 - $184,600 for Princ Associate, Data Science<p></p><p><br>
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.</p>
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.<p>
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.</p>
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.<p>
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.</p><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.</p><p>
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</p></div>
</div><div><p>Salary</p><p>
161,800.00 - 184,600.00 Annual</p>
</div><div></div><div><div><p>Type</p><div><p>
Full-time</p></div></div></div></div>

Principal Associate, Data Scientist

<div><div><p>Posted Date</p>
<p>4/10/2026</p>
</div><div><p>Description</p>
<div>Senior Associate, Data Scientist<p>
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.</p><p>
As a Data Scientist at Capital One, you&rsquo;ll be part of a team that&rsquo;s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.</p><p>
Team Description</p><p>
People Strategy &amp; Analytics brings data, analytics, and insights to shape critical talent decisions and strategy at Capital One. We work closely with HR partners and senior executives in shaping talent policy, automating real-time data, and improving talent decision-making. The team is comprised of people with diverse skills and backgrounds including: data analysts, data scientists, business analysts, HR specialists, project managers, and industrial/organizational psychologists.</p><p>
As a Data Scientist on Capital One&rsquo;s People Strategy &amp; Analytics team, you&rsquo;ll be on the leading edge of applying analytics to talent, combining artificial intelligence, machine learning, and social science to build models that seek to understand associate behavior, improve HR efficiency and tools, and inform strategies aimed at expanding Capital One&rsquo;s talent advantage.</p><p><b>
Role Description</b></p><p><b>
In this role, you will:</b></p><ul><li>
Support development of natural language processing and machine learning models through all phases, from design through training, evaluation, validation, and implementation</li><li>
Apply expertise in using open source large language models (LLMs) through prompt engineering, retrieval-augmented generation (RAG) and evaluation metric frameworks for business specific applications</li><li>
Partner with a cross-functional team of data scientists, software engineers, business analysts, and product managers to deliver industry leading HR tools and AI-powered products</li><li>
Leverage a broad stack of technologies &mdash; Python, SQL, AWS, LangChain, Hugging Face Transformers, VectorDBs, Pytorch/TensorFlow, and more &mdash; to reveal the insights hidden within large volumes of numeric and textual data</li><li>
Flex your interpersonal skills to collaborate with internal stakeholders, translating complex data science work into tangible, aligned business outcomes.</li></ul><p><b>
The Ideal Candidate is:</b></p><ul><li>
Passionate about human capital: You are excited by the value we can add to our company and our associates, and are inspired to help make a large positive impact.</li><li>
Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.</li><li>
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You&rsquo;re not afraid to share a new idea.</li><li>
Technical. You&rsquo;re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.</li><li>
Statistically-minded. You&rsquo;ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.</li></ul><p><b>
Basic Qualifications:</b></p><ul><li>
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:<ul><li>
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics</li><li>
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration</li></ul></li></ul><p><b>
Preferred Qualifications:</b></p><ul><li>
Master&rsquo;s Degree in &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics), or PhD in &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics)</li><li>
Experience working with AWS</li><li>
At least 2 years&rsquo; experience in Python</li><li>
At least 2 years&rsquo; experience with machine learning</li><li>
At least 2 years&rsquo; experience with SQL</li><li>
At least 1 year experience with relational databases such as Snowflake</li><li>
At least 1 year experience with AI/ML tools and ecosystems such as Hugging Face, VectorDBs or Pytorch/TensorFlow</li></ul><p>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.</p><p>
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.</p>
McLean, VA: $135,600 - $154,800 for Sr Assoc, Data Science<p></p><p><br>
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.</p>
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.<p>
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.</p>
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.<p>
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.</p><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.</p><p>
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</p>
Senior Associate, Data Scientist<p>
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.</p><p>
As a Data Scientist at Capital One, you&rsquo;ll be part of a team that&rsquo;s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.</p><p>
Team Description</p><p>
People Strategy &amp; Analytics brings data, analytics, and insights to shape critical talent decisions and strategy at Capital One. We work closely with HR partners and senior executives in shaping talent policy, automating real-time data, and improving talent decision-making. The team is comprised of people with diverse skills and backgrounds including: data analysts, data scientists, business analysts, HR specialists, project managers, and industrial/organizational psychologists.</p><p>
As a Data Scientist on Capital One&rsquo;s People Strategy &amp; Analytics team, you&rsquo;ll be on the leading edge of applying analytics to talent, combining artificial intelligence, machine learning, and social science to build models that seek to understand associate behavior, improve HR efficiency and tools, and inform strategies aimed at expanding Capital One&rsquo;s talent advantage.</p><p><b>
Role Description</b></p><p><b>
In this role, you will:</b></p><ul><li>
Support development of natural language processing and machine learning models through all phases, from design through training, evaluation, validation, and implementation</li><li>
Apply expertise in using open source large language models (LLMs) through prompt engineering, retrieval-augmented generation (RAG) and evaluation metric frameworks for business specific applications</li><li>
Partner with a cross-functional team of data scientists, software engineers, business analysts, and product managers to deliver industry leading HR tools and AI-powered products</li><li>
Leverage a broad stack of technologies &mdash; Python, SQL, AWS, LangChain, Hugging Face Transformers, VectorDBs, Pytorch/TensorFlow, and more &mdash; to reveal the insights hidden within large volumes of numeric and textual data</li><li>
Flex your interpersonal skills to collaborate with internal stakeholders, translating complex data science work into tangible, aligned business outcomes.</li></ul><p><b>
The Ideal Candidate is:</b></p><ul><li>
Passionate about human capital: You are excited by the value we can add to our company and our associates, and are inspired to help make a large positive impact.</li><li>
Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.</li><li>
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You&rsquo;re not afraid to share a new idea.</li><li>
Technical. You&rsquo;re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.</li><li>
Statistically-minded. You&rsquo;ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.</li></ul><p><b>
Basic Qualifications:</b></p><ul><li>
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:<ul><li>
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics</li><li>
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration</li></ul></li></ul><p><b>
Preferred Qualifications:</b></p><ul><li>
Master&rsquo;s Degree in &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics), or PhD in &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics)</li><li>
Experience working with AWS</li><li>
At least 2 years&rsquo; experience in Python</li><li>
At least 2 years&rsquo; experience with machine learning</li><li>
At least 2 years&rsquo; experience with SQL</li><li>
At least 1 year experience with relational databases such as Snowflake</li><li>
At least 1 year experience with AI/ML tools and ecosystems such as Hugging Face, VectorDBs or Pytorch/TensorFlow</li></ul><p>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.</p><p>
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.</p>
McLean, VA: $135,600 - $154,800 for Sr Assoc, Data Science<p></p><p><br>
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.</p>
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.<p>
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.</p>
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.<p>
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.</p><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.</p><p>
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</p></div>
</div><div><p>Salary</p><p>
135,600.00 - 154,800.00 Annual</p>
</div><div></div><div><div><p>Type</p><div><p>
Full-time</p></div></div></div></div>

Senior Associate, Data Scientist

Capital One

<div>Senior Associate, Data Scientist<p></p><p>
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.</p><p></p><p>
As a Data Scientist at Capital One, you&rsquo;ll be part of a team that&rsquo;s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.</p><p>
Team Description</p><p></p><p>
People Strategy &amp; Analytics brings data, analytics, and insights to shape critical talent decisions and strategy at Capital One. We work closely with HR partners and senior executives in shaping talent policy, automating real-time data, and improving talent decision-making. The team is comprised of people with diverse skills and backgrounds including: data analysts, data scientists, business analysts, HR specialists, project managers, and industrial/organizational psychologists.</p><p></p><p>
As a Data Scientist on Capital One&rsquo;s People Strategy &amp; Analytics team, you&rsquo;ll be on the leading edge of applying analytics to talent, combining artificial intelligence, machine learning, and social science to build models that seek to understand associate behavior, improve HR efficiency and tools, and inform strategies aimed at expanding Capital One&rsquo;s talent advantage.</p><p></p><p><b>
Role Description</b></p><p></p><p><b>
In this role, you will:</b></p><ul><li><p>
Support development of natural language processing and machine learning models through all phases, from design through training, evaluation, validation, and implementation</p></li><li><p>
Apply expertise in using open source large language models (LLMs) through prompt engineering, retrieval-augmented generation (RAG) and evaluation metric frameworks for business specific applications</p></li><li><p>
Partner with a cross-functional team of data scientists, software engineers, business analysts, and product managers to deliver industry leading HR tools and AI-powered products</p></li><li><p>
Leverage a broad stack of technologies &mdash; Python, SQL, AWS, LangChain, Hugging Face Transformers, VectorDBs, Pytorch/TensorFlow, and more &mdash; to reveal the insights hidden within large volumes of numeric and textual data</p></li><li><p>
Flex your interpersonal skills to collaborate with internal stakeholders, translating complex data science work into tangible, aligned business outcomes.</p></li></ul><p></p><p><b>
The Ideal Candidate is:</b></p><ul><li><p>
Passionate about human capital: You are excited by the value we can add to our company and our associates, and are inspired to help make a large positive impact.</p></li><li><p>
Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.</p></li><li><p>
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You&rsquo;re not afraid to share a new idea.</p></li><li><p>
Technical. You&rsquo;re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.</p></li><li><p>
Statistically-minded. You&rsquo;ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.</p></li></ul><p></p><p><b>
Basic Qualifications:</b></p><ul><li><p>
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:</p><ul><li><p>
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics</p></li><li><p>
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration</p></li></ul></li></ul><p></p><p><b>
Preferred Qualifications:</b></p><ul><li><p>
Master&rsquo;s Degree in &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics), or PhD in &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics)</p></li><li><p>
Experience working with AWS</p></li><li><p>
At least 2 years&rsquo; experience in Python</p></li><li><p>
At least 2 years&rsquo; experience with machine learning</p></li><li><p>
At least 2 years&rsquo; experience with SQL</p></li><li><p>
At least 1 year experience with relational databases such as Snowflake</p></li><li><p>
At least 1 year experience with AI/ML tools and ecosystems such as Hugging Face, VectorDBs or Pytorch/TensorFlow
</p></li></ul><p></p><p>Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.</p><p></p><p>
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.</p><p></p>
McLean, VA: $135,600 - $154,800 for Sr Assoc, Data Science<p></p><p><br>
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.</p><p></p>
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.<p></p><p>
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.</p><p></p>
This role is expected to accept applications for a minimum of 5 business days.<p></p>
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.<p></p><p>
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.</p><p></p><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p></p><p>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.</p><p></p><p>
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</p></div>

L'Oréal

Associate Principal Scientist, Post Market Safety, L'Oréal Research & Innovation - Clark, New Jersey
<br><br>
Life is too short for a boring career, so build an extraordinary one with us. We believe your career should spark the same thrill and curiosity as your personal interests. Creativity drives everything we do, turning ideas into meaningful impact. With opportunities across brands, markets, and divisions, your growth knows no boundaries.
<br><br>
Who We Are
<br><br>
Join us at L'Oréal, the world's #1 beauty company present in over 150 markets. For over a century, we have been transforming; fueled by data, tech, innovation, and science. Together, we tackle big challenges while making sure we stay committed to making the world a more inclusive and a better place for everyone & our planet.
<br><br>
At L'Oréal Research & Innovation we are pushing the boundaries of Science & Tech. We invest heavily in cutting-edge research, leveraging advanced technologies to understand skin, hair, and microbiome, while discovering new active ingredients and launching outperforming formulas. Our 4,100 L'Oréal R&I experts leverage Science & Technology to invent safe, trustable, sustainable & responsible beauty products and experiences that will change people's lives.
<br><br>
At L'Oréal Research & Innovation (R&I), we are pushing the boundaries of Science & Tech. Our 4,100 R&I experts leverage Science & Technology to invent safe, trustable, and sustainable beauty experiences.
<br><br>
Inside R&I, the Post Market Safety (PMS) group has direct responsibility for cosmetovigilance and pharmacovigilance operations for the United States, collaborating closely across the Americas Zone.
<br><br>
We are seeking an Associate Principal Scientist to independently lead technical and process-related activities within the Post-Marketing Safety group. In this pivotal role, you will partner with the Product Safety Evaluation group and other key stakeholders to lead product safety assessments for all over-the-counter (OTC) drug and cosmetic products marketed in the U.S. You will serve as a technical authority, providing direction and supervision to ensure the highest standards of consumer safety and regulatory excellence.
<br><br>
<b>A Day in the Life:</b> As an Associate Principal Scientist in Post Market Safety, your responsibilities will include:
<br><ul>
<li>Medical Assessment & Vigilance: Perform expert medical assessments of adverse event case reports for seriousness, causality, and expectedness, maintaining the integrity of our vigilance operations.</li>
<li>Global Safety Analysis: Conduct global post-marketing safety analyses requested by cross-functional partners (Marketing, Product Safety, and Global PMS), translating safety data into strategic insights.</li>
<li>Regulatory Reporting: Lead the quality review and timely submission of all OTC drug and cosmetic MedWatch reports to the FDA, managing correspondence with partner companies and vendors.</li>
<li>Case Management & Follow-up: Query vendor databases to review adverse events and ensure appropriate follow-up. Notify relevant partner contacts and manufacturing sites of potential quality-related complaints.</li>
<li>Medical Liaison: Serve as a point of contact for case-related inquiries from the L'Oréal Call Center and Global PMS team. You will also prepare patch test letters and kits for physicians upon request.</li>
<li>Technical Stewardship: Maintain accurate documentation, recordkeeping, and archiving of all safety-related information in compliance with global SOPs.</li>
<li>Mentorship & Training: Train and supervise junior members of the PMS team and provide post-marketing safety training for new employees across the organization.</li>
<li>Process Optimization: Continuously review and update standard operating procedures (SOPs) and work processes to ensure agility and compliance.</li>
</ul>
<b>We Are Looking For:</b> You are a highly organized medical or pharmaceutical professional with a meticulous eye for detail and a deep understanding of safety regulations.
<br><ul>
<li>Education: Pharm.D., D.Ph., or a Nursing degree is preferred. A working knowledge of basic medical terminology is required.</li>
<li>Experience:</li>
<li>Minimum of 7 years of relevant experience in case processing and medical assessment.</li>
<li>Proficiency in MedDRA coding is required.</li>
<li>In-depth understanding of U.S. Regulations pertaining to adverse event reporting.</li>
<li>Skills & Attributes:</li>
<li>Excellent communication (verbal and written) and interpersonal skills.</li>
<li>Demonstrated capability in analyzing, reporting, and documenting complex information with strong attention to detail.</li>
<li>Ability to work independently with minimum supervision in a highly matrixed environment.</li>
<li>Prior people management experience is a distinct advantage.</li>
<li>The ability to be onsite, in the office at least 4 days a week, as this is an essential function of the position (required)</li>
<li>Authorization to work in the United States on a full-time, permanent, ongoing basis without the need for legal sponsorship now or in the future (required)</li>
</ul>
What's In It For You
<br><ul>
<li>A place for you to leave your comfort zone and grow beyond your potential (here, you'll be encouraged to try new things and take risks!)</li>
<li>Real responsibility from day 1, there's no sitting on the sidelines at L'Oréal</li>
<li>An environment where people of every ethnicity, social background, age, religion, gender and sexual orientation as well as people with disabilities are accepted, can speak up, will thrive and are celebrated!</li>
<li>A place where you can contribute to something bigger! Many of our brands have societal /environmental causes to make concrete difference</li>
<li>Competitive Benefits Package (Medical, Dental, Vision, 401K, Pension Plan)</li>
<li>Base Salary Range: $107,600 - $153,300 (The actual compensation will depend on a variety of job-related factors which may include geographic location, work experience, education, and skill level)</li>
<li>Hybrid Work Policy (3 days in Office, up to 2 days Work From Home)</li>
<li>Flexible Time Off (Paid Company Holidays, Paid Vacation, Vacation Buy Program, Volunteer Time, Summer Fridays & More!)</li>
<li>Access to Company Perks (VIP Access to L'Oréal's Internal Shop for Discounted Products, Monthly Mobile Allowance)</li>
<li>Learning and Development Opportunities (Unlimited Access to E-learnings, Lunch & Learn Sessions, Mentorship Programs, & More!)</li>
<li>Employee Resource Groups (Think Tanks and Innovation Squads)</li>
<li>Access to Mental Health & Wellness Programs</li>
</ul>
Don't meet every single requirement? At L'Oréal, we are dedicated to building a diverse, inclusive, and innovative workplace. If you're excited about this role but your past experience doesn't align perfectly with the qualifications listed in the job description, we encourage you to apply anyways! You may just be the right candidate for this or other roles!
<br><br>
We are an Equal Opportunity Employer and take pride in a diverse environment. We're committed to guaranteeing inclusive recruitment processes and advocating for hiring and promoting each candidate in an ethical and equitable way. The Group strictly prohibits discrimination against any applicant for employment because of the individual's gender identity or expression, sexual orientation, visible and/or invisible disabilities, socio-economic and/or multicultural origins, health conditions, age, religion, or any other characteristics protected by law.

Associate Principal Scientist, Post Market Safety, L'Oréal Research & Innovation

New York University Abu Dhabi

<div>
 The Mubadala Arabian Center for Climate and Environmental Sciences (Mubadala ACCESS), New York University Abu Dhabi, seeks to recruit an Associate Research Scientist to support a major NYU Abu Dhabi-OceanX initiative focused on advancing coral reef monitoring, applied research and regional capacity building across Southeast Asia, with particular emphasis on Malaysia.
 <br/>
 <br/>
 The successful applicant will play a central role in coordinating and implementing a multi-year coral reef monitoring and training program across Southeast Asia. The Associate Research Scientist will contribute to the design, coordination, and delivery of annual field missions aboard the RV OceanXplorer, support the implementation of standardized reef monitoring protocols, and deliver hands-on training programs for regional partners. The position includes supporting pre and post mission workshops, strengthening stakeholder engagement, and contributing to the development of regional scientific networks.
 <br/>
 <br/>
 The Associate Research Scientist will also assist in organizing an annual Southeast Asia learning exchange hosted at NYU Abu Dhabi, supporting agenda development, training sessions in reef monitoring and data analysis, and coordination with university administrative units. A key component of the role involves contributing to the organization and management of data and metadata systems associated with Southeast Asian reef monitoring activities conducted in partnership with OceanX. The candidate will support standardized data workflows, quality control, documentation, and the development of open-access products tailored to researchers, decision-makers, NGOs, and public audiences.
 <br/>
 <br/>
 The role further includes supporting reporting, communications, and stakeholder coordination across NYUAD, OceanX, Dalio Philanthropies, and regional partners. The Associate Research Scientist will contribute to progress updates, annual reports, stakeholder briefings, and public-facing communication materials in collaboration with NYUAD and OceanX Communications teams. The position is based in Abu Dhabi, UAE, with regular travel to Southeast Asia during mission and training periods.
 <br/>
 <br/>
 Applicants must hold a PhD in Marine Biology, Marine Science, Coral Reef Ecology, or a closely related field, with at least 3 years of relevant experience in their field (not including the years obtaining the PhD or equivalent terminal degree). Candidates must have demonstrated experience in coral reef monitoring programs in Southeast Asia, ideally in Malaysia, and hold SCUBA certification at a minimum of PADI Advanced Open Water (or equivalent). Experience delivering training or capacity-building programs, engaging with regional partners or government agencies, and contributing to peer-reviewed publications is required. Fluency in English is essential, and fluency in Malay/Bahasa Melayu is considered a strong asset. Preferred qualifications include advanced diving certification, training in ecological monitoring protocols, and experience with GIS, data management platforms, or applied reef assessment frameworks.
 <br/>
 <br/>
 For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, statement of research interests, a transcript or degree, and three letters of reference, all in PDF format. If you have any questions, please email Kelly Bradham at Kelly.bradham@nyu.edu.
 <br/>
 <br/>
 <strong>
  About NYU Abu Dhabi
  <br/>
  <br/>
 </strong>
 https://nyuad.nyu.edu/en/
 <br/>
 <br/>
 NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity&rsquo;s shared challenges. NYU Abu Dhabi&rsquo;s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents.
 <br/>
 <br/>
 NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching.
 <br/>
 <br/>
 Students are drawn from among the world&rsquo;s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed.
 <br/>
 <br/>
 <strong>
  Working for NYUAD
  <br/>
  <br/>
 </strong>
 At NYUAD, we recognize that Abu Dhabi is more than where you work; it&rsquo;s your home. In order for research staff to thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance; educational assistance for your dependents; access to health and wellness services; and more. NYUAD is committed to research staff success throughout the academic trajectory, providing support for ambitious and world-class research projects and innovative, interactive teaching approaches. Support for dual-career families is a priority. Visit our website for more information on benefits for you and your dependents.
 <br/>
 <br/>
 NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to the excellence and vibrancy of our academic community.
 <br/>
 <br/>
 Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply.
 <br/>
 <br/>
 Join NYU Abu Dhabi, an exceptional place for exceptional people.
 <br/>
 <br/>
 NYUAD values belonging and respect; such principles are fundamental to the university&rsquo;s commitment to excellence. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to our vibrant, multidisciplinary research and teaching community. Multidisciplinary research and exceptional teaching in a global campus community are hallmarks of the University&rsquo;s mission.
 <br/>
 <br/>
 @WorkAtNYUAD
 <br/>
 <br/>
 <strong>
  Equal Employment Opportunity Statement
  <br/>
  <br/>
 </strong>
 <strong>
  For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr
  <br/>
  <br/>
 </strong>
 NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.
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Associate Research Scientist in the Division of Science (Biology) - Dr. John Burt

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