associate research scientist

Columbia University

<div><p>The Department of Radiology is seeking a motivated and innovative Associate Research Scientist to join our multidisciplinary team focused on imaging biomarker development for breast cancer research. The successful candidate will work with multimodality breast imaging data, including mammography, digital breast tomosynthesis, contrast-enhanced mammography, ultrasound and MRI, to advance our understanding of imaging-based biomarkers for breast cancer diagnosis, prognosis, and treatment response.
</p><p>As an integral part of our team, you will work with the breast imaging team of the Division of Breast Imaging, Department of Radiology at the Columbia University Medical Center under the leadership of Dr. Katja Pinker-Domenig and collaborate with clinicians, engineers, and data scientists from the Center for Innovation in Imaging Biomarkers and Integrated Diagnostics (CIMBID under the leadership of Dr. Despina Kontos to develop and validate biomarkers that can improve patient outcomes. Your clinical expertise in multimodality breast imaging and research acumen will play a key role in bridging the gap between advanced imaging technologies and clinical application.
</p><p><b>Key Responsibilities:
</b></p><ul><li>Lead and contribute to research studies focused on breast imaging biomarker development using multimodality imaging data.
</li><li>Analyze and interpret breast imaging data, integrating clinical and radiological information to extract meaningful insights for biomarker identification.
</li><li>Collaborate with bioinformaticians and data scientists to apply artificial intelligence techniques including machine and deep learning for image analysis and predictive modeling.
</li><li>Design and conduct clinical trials and research studies involving breast imaging modalities.
</li><li>Author and co-author manuscripts, grants, and scientific presentations based on research findings.
</li><li>Maintain compliance with ethical and regulatory standards for clinical research.
</li><li>Collaborate with interdisciplinary teams, including radiologists, oncologists, and imaging scientists, to ensure clinical relevance of research outcomes.
</li></ul><p><b>Preferred Skills:
</b></p><ul><li>Prior experience in breast cancer research and understanding of breast cancer biology.
</li><li>Experience with imaging software and tools for image.
</li><li>Familiarity with clinical study design and processes for imaging biomarker validation.</li></ul></div>
<br><p></p><div><div><ul><li>MD or equivalent in Radiology
</li><li>Experience with breast imaging modalities such as mammography, digital breast tomosynthesis, contrast-enhanced mammography, ultrasound and multiparametric MRI.
</li><li>Strong background in clinical research, with a focus on imaging biomarkers.
</li><li>Proficiency in data analysis, including the use of statistical software and imaging analysis tools.
</li><li>Basic knowledge of the machine learning and AI methods for medical image analysis is highly desirable.
</li><li>Strong publication record in peer-reviewed journals.
</li><li>Excellent communication skills and ability to work collaboratively in a multidisciplinary team environment.
</li></ul></div><div>instructions</div></div><div></div>
<br><div><p>Columbia University is an Equal Opportunity Employer / Disability / Veteran
</p><p><b>Pay Transparency Disclosure
</b></p><p>The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University&rsquo;s good faith and reasonable estimate of the range of possible compensation at the time of posting.</p></div>

Associate Research Scientist - Mammo

<div>
 <p>
  <strong>
   Department:
  </strong>
  Data &amp; AI
 </p>
 <p>
  <strong>
   Location:
  </strong>
  UK - London
  <br/>
  <br/>
 </p>
 <strong>
  Description
  <br/>
  <br/>
 </strong>
 Insurance isn't the first industry most people think of when they imagine interesting data science work. That's exactly why this role is interesting.
 <br/>
 <br/>
 CFC's Data &amp; AI unit is building production agentic systems that automate complex underwriting decisions - not demos, not proof-of-concepts sitting on a shelf, but AI agents and Machine Learning (ML) pipelines that drive real business outcomes. The team includes machine learning engineers and software engineers shipping production services, and this role sits alongside them as an analytical counterpart: running experiments, stress-testing assumptions, and generating the evidence that shapes what gets built and how it improves over time.
 <br/>
 <br/>
 This is an Associate Data Scientist role designed for someone early in their career who wants genuine exposure to production AI systems from day one. You'll work closely with ML and AI engineers, contributing to discovery work that feeds directly into live services - statistical analysis, feature engineering, LLM evaluation, and the kind of careful, evidence-based thinking that makes the difference between an AI system that works in a notebook and one that holds up under real conditions.
 <br/>
 <br/>
 The problems are genuinely hard. The data is complex, the decisions are high-stakes, and the domain has the kind of depth that keeps the work interesting. If you want to grow quickly in applied AI and ML - working on real systems, not toy datasets - this is the right environment.
 <br/>
 <br/>
 <strong>
  About the role
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and run experiments that directly shape production AI agents &mdash; testing ideas, validating approaches, and turning research into deployed improvements.
  </li>
  <li>
   Actively explore cutting-edge developments in AI and machine learning &mdash; with the space and support to experiment, prototype, and bring new techniques into production where they add value.
  </li>
  <li>
   Evaluate and refine LLM-powered workflows &mdash; building robust evaluation frameworks, stress-testing agent behaviour, and driving continuous quality improvements in live systems.
  </li>
  <li>
   Explore complex, real-world datasets to uncover insights that meaningfully improve underwriting decisions and system performance at scale.
  </li>
  <li>
   Prototype and iterate on features for AI/ML pipelines, taking ideas from early exploration through to measurable impact in production services.
  </li>
  <li>
   Investigate how agentic systems behave in production &mdash; identifying edge cases, failure modes, and opportunities to make systems more robust and reliable.
  </li>
  <li>
   Collaborate closely with ML/AI engineers to bridge research and production &mdash; contributing code, debugging issues, and helping ship improvements end-to-end.
  </li>
  <li>
   Document experiments, findings, and methodologies clearly so that insights are reproducible and decisions are traceable.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About you
  <br/>
  <br/>
 </strong>
 We are looking for a Junior Data Scientist who enjoys solving complex problems and turning data into meaningful, real‑world outcomes. In this role, you will work across the full analytical lifecycle, from exploring data and building machine learning models to shaping how insights are communicated and applied across the business. You also play a part in how we responsibly explore and apply emerging technologies such as LLMs, focusing on how they perform and deliver value in practice.
 <br/>
 <br/>
 You:
 <ul>
  <li>
   combine a strong grounding in statistics with hands‑on technical capability in Python and SQL
  </li>
  <li>
   take pride in producing clear, reliable analysis
  </li>
  <li>
   are thoughtful and detail‑driven, able to communicate effectively with a wide range of stakeholders, and comfortable learning from others while growing your own ownership
  </li>
  <li>
   bring curiosity, ask the right questions and look beneath the surface
  </li>
  <li>
   have experience with Azure, MLflow, or LLM tooling is a bonus, but not expected&mdash;we value mindset and approach just as highly as experience.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Core Values
  <br/>
  <br/>
 </strong>
 <strong>
  Love what you do:
  <br/>
 </strong>
 We show up each day ready to take on the world. Our passion and intensity set us apart and makes the difference to our colleagues, customers, brokers and carriers.
 <br/>
 <br/>
 <strong>
  Challenge everything:
  <br/>
 </strong>
 We&rsquo;re never afraid to question the way that things are done and we constantly challenge ourselves and others to makes things better.
 <br/>
 <br/>
 <strong>
  Have fun, be good:
  <br/>
 </strong>
 Insurance is a serious business, but we don&rsquo;t take ourselves too seriously. We make it fun to work at CFC, we welcome all viewpoints, and we treat everyone how we would expect to be treated.
</div>


Associate Data Scientist

<div><h3 class="jobSectionHeader"><b>Description</b></h3><div><br>
Insurance isn't the first industry most people think of when they imagine interesting data science work. That's exactly why this role is interesting.</div><div>
<br>
CFC's Data &amp; AI unit is building production agentic systems that automate complex underwriting decisions - not demos, not proof-of-concepts sitting on a shelf, but AI agents and Machine Learning (ML) pipelines that drive real business outcomes. The team includes machine learning engineers and software engineers shipping production services, and this role sits alongside them as an analytical counterpart: running experiments, stress-testing assumptions, and generating the evidence that shapes what gets built and how it improves over time.</div><div>
<br>
This is an Associate Data Scientist role designed for someone early in their career who wants genuine exposure to production AI systems from day one. You'll work closely with ML and AI engineers, contributing to discovery work that feeds directly into live services - statistical analysis, feature engineering, LLM evaluation, and the kind of careful, evidence-based thinking that makes the difference between an AI system that works in a notebook and one that holds up under real conditions.<br>
</div><div>The problems are genuinely hard. The data is complex, the decisions are high-stakes, and the domain has the kind of depth that keeps the work interesting. If you want to grow quickly in applied AI and ML - working on real systems, not toy datasets - this is the right environment.</div><h3 class="jobSectionHeader"><b><br>
About the role</b></h3><br>
<ul>
<li>
Design and run experiments that directly shape production AI agents &mdash; testing ideas, validating approaches, and turning research into deployed improvements.</li>
<li>Actively explore cutting-edge developments in AI and machine learning &mdash; with the space and support to experiment, prototype, and bring new techniques into production where they add value.</li>
<li>Evaluate and refine LLM-powered workflows &mdash; building robust evaluation frameworks, stress-testing agent behaviour, and driving continuous quality improvements in live systems.</li>
<li>Explore complex, real-world datasets to uncover insights that meaningfully improve underwriting decisions and system performance at scale.</li>
<li>Prototype and iterate on features for AI/ML pipelines, taking ideas from early exploration through to measurable impact in production services.</li>
<li>Investigate how agentic systems behave in production &mdash; identifying edge cases, failure modes, and opportunities to make systems more robust and reliable.</li>
<li>Collaborate closely with ML/AI engineers to bridge research and production &mdash; contributing code, debugging issues, and helping ship improvements end-to-end.</li>
<li>Document experiments, findings, and methodologies clearly so that insights are reproducible and decisions are traceable.</li></ul><br>
<h3 class="jobSectionHeader"><b>
About you</b></h3><div><br>
We are looking for a Junior Data Scientist who enjoys solving complex problems and turning data into meaningful, real‑world outcomes. In this role, you will work across the full analytical lifecycle, from exploring data and building machine learning models to shaping how insights are communicated and applied across the business. You also play a part in how we responsibly explore and apply emerging technologies such as LLMs, focusing on how they perform and deliver value in practice.<br>
<br>
You:</div><ul>
<li>combine a strong grounding in statistics with hands‑on technical capability in Python and SQL</li>
<li>take pride in producing clear, reliable analysis</li>
<li>are thoughtful and detail‑driven, able to communicate effectively with a wide range of stakeholders, and comfortable learning from others while growing your own ownership</li>
<li>bring curiosity, ask the right questions and look beneath the surface</li>
<li>have experience with Azure, MLflow, or LLM tooling is a bonus, but not expected&mdash;we value mindset and approach just as highly as experience.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Core Values</b></h3><div><br>
<b>
Love what you do:</b><br>
We show up each day ready to take on the world. Our passion and intensity set us apart and makes the difference to our colleagues, customers, brokers and carriers.<br>
<br>
<b>Challenge everything:</b><br>
We&rsquo;re never afraid to question the way that things are done and we constantly challenge ourselves and others to makes things better.<br>
<br>
<b>Have fun, be good:</b><br>
Insurance is a serious business, but we don&rsquo;t take ourselves too seriously. We make it fun to work at CFC, we welcome all viewpoints, and we treat everyone how we would expect to be treated.</div><h3 class="jobSectionHeader"><b><br>
About CFC</b></h3><div>
CFC is a specialist insurance provider, pioneering emerging risk and market leader in cyber. Our global insurance platform uses cutting-edge technology and data science to deliver smarter, faster underwriting and protect customers from today's most critical business risk.<br>
</div><div>Headquartered in London with offices in New York, Melbourne, Sydney, Austin, Madrid, Brussels and Brisbane, CFC has over 1100 staff and is trusted by more than 100,000 businesses across 90 countries.<br>
</div><div>At CFC, insurance isn't just about underwriting. From data science to software development, and digital marketing design, we've got something for everyone. We're passionate about pushing boundaries, thinking differently and building the insurance company of the future.<br>
<br>
CFC is committed to the principles of equal opportunities and creating an environment in which all individuals are always treated with dignity and respect. We encourage a diverse corporate culture of openness and appreciation to create an environment in which your talent can be developed in the best possible way. Should you require any reasonable adjustments at any stage of the recruitment process please let us know.</div></div>

NYU Langone Health

<div><p>NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge.
<br>
<br>
<i>For more information, go to</i> <i>med.nyu.edu</i>, and interact with us on <i>LinkedIn</i>, <i>Glassdoor</i>, <i>Indeed</i>, <i>Facebook</i>, <i>Twitter</i> <i>and</i> <i>Instagram</i>.</p>
<p><b>
Position Summary:</b><br>
We have an exciting opportunity to join our team as a Research Associate.
<br>
<br>
In this role, the successful candidate is responsible for conducting independent basic science experimentation based on research conducted in the assigned laboratory under the mentorship of a senior scientist. Individual is expected to seek to build a portfolio of research accomplishments in preparation for acquiring a higher degree in biomedical research or medicine.</p>
<p><b>
Job Responsibilities:</b></p>
<ul>
<li>After a period of time working in the laboratory, the candidate will be expected to train graduate students and post-doctoral fellows in experimental design, technique and performance.</li>
<li>Generates hypotheses and designs and performs experiments to test them.</li>
<li>Executes multiple experiments simultaneously over time independently.</li>
<li>Records all experimental findings in a laboratory notebook, analyze and interpret experimental findings.</li>
<li>Based on results, independently suggests and tests modifications to protocols.</li>
<li>Prepares figures and diagrams for presentations and publications.</li>
<li>Communicates results and collaborates with other professionals in the lab.</li>
<li>Demonstrates a significant level of intellectual input into the design of the project.</li>
<li>Presents findings at lab meeting, responds to challenges, and participates in exchanges of ideas to advance the science.</li>
<li>Reads and understands relevant scientific literature.</li>
<li>Contributes to the preparation of articles on research outcomes and progress and to the submission of same for publication.</li>
<li>Participates in the editing and proofing of grant proposals, annual grant reports, and manuscripts for publication and recommends modifications to the Principal Investigator.</li></ul><br>
<p></p>
<p><b>
Minimum Qualifications:</b><br>
To qualify you must have a College graduate with a B.S. or B.A. in Biomedical or Physical Sciences. A minimum commitment of two years is required and placement in position may not exceed three years.</p>
<p><b>
Preferred Qualifications:</b><br>
Prior research experience in a laboratory setting.</p>
<p><i>
Qualified candidates must be able to effectively communicate with all levels of the organization.</i>
<br>
<br>
NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family.
<br>
<br>
NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online.
<br>
<br>
View Know Your Rights: Workplace discrimination is illegal.</p>
<p>
NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $47,033.89 - $50,000.00 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.</p>
<p>
To view the Pay Transparency Notice, please click here</p></div>

Research Associate - Mazzoni Lab

MarketCast

<div>
 <strong>
  Reading/London
  <br/>
  <br/>
 </strong>
 <strong>
  Role Description
  <br/>
  <br/>
 </strong>
 We are looking for a Associate Data Scientist to join the Data Science Team based in Reading or London. You will be responsible for analysing extremely large datasets, creating bespoke client reports, exploring new datasets and building new algorithms to deliver services to clients.
 <br/>
 <br/>
 <strong>
  We&rsquo;re Looking For Someone To
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Explore and extract data from multiple sources and interrogate this data to create meaningful insights
  </li>
  <li>
   Work on a broad range of client projects in the marketing and market research field.
  </li>
  <li>
   Develop data pipelines to clean data and develop meaningful data &amp; features for analytics work and data science projects
  </li>
  <li>
   Research, develop, and test supervised and unsupervised learning models with guidance from more senior members of the team
  </li>
  <li>
   Use tools and languages such as Python and SQL for reporting and analysis on our AWS data platform
  </li>
  <li>
   Work with our India based Data Engineering team and our Sales and Market Research Teams in the US and UK
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  It&rsquo;ll Be Helpful If You Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   1-2 years of experience
  </li>
  <li>
   A desire to understand the why, and dig into data to understand what makes people tick
  </li>
  <li>
   Experience in applying a few Machine Learning algorithms to real client problems and data.
  </li>
  <li>
   Ability to clean and transform data for ML models
  </li>
  <li>
   Can independently take actions to address the most common causes of poor model performance.
  </li>
  <li>
   Familiarity with common machine learning algorithms such as linear regression, logistic regression, decision trees, and k-nearest neighbours Experience in using machine learning libraries and frameworks like scikit-learn or TensorFlow.
  </li>
  <li>
   A bachelor&rsquo;s degree in a subject such as Applied Mathematics, Psychology, Sociology, Statistics, Economics, Engineering, Computer Science, etc. A Master's Degree or higher is a plus.
  </li>
  <li>
   Solid data analytics skills; proven proficiency with SQL, Python and Pandas
  </li>
  <li>
   The ability to write Python code and build, execute and test algorithms and models
  </li>
  <li>
   The ability to understand business problems, draw conclusions from data and recommend actions on how best to solve these problems
  </li>
  <li>
   Strong communications skills, and an ability to document requirements and work with other team members
  </li>
  <li>
   Experience with TV viewing data, the TV industry and/or Media Industry experience. This isn't a pre-requisite, but a genuine interest is
  </li>
  <li>
   A curiosity about data and enjoy building data visualisations that clearly articulate insight
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Who We Are
  <br/>
  <br/>
 </strong>
 MarketCast measures what moves people. Powered by AI, trained on decades of verified consumer response data, along with proprietary technology, MarketCast is the marketing effectiveness partner for the world's most ambitious brands, connecting emotional resonance to real-world business outcomes across advertising, sponsorships, content, brand health, and advanced analytics. With category-deep expertise spanning sports, entertainment, travel, automotive, and consumer brands, our team of seasoned industry strategists brings unmatched human intelligence to every engagement, turning complex data into decisive action so brands know exactly what's working, why it's working, and what to do next.
 <br/>
 <br/>
 At MarketCast, we don't just accept difference - we embrace it, support it, and thrive on it for the benefit of our global culture and success. MarketCast is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know. Check us out on LinkedIn and at: www.marketcast.com
 <br/>
 <br/>
 <strong>
  Our Values
  <br/>
  <br/>
 </strong>
 <strong>
  Move the Needle
  <br/>
  <br/>
 </strong>
 We turn insight into action and action into impact, acting with urgency and intention at every level, anticipating what's needed, executing with discipline, and driving outcomes that are measured and meaningful.
 <br/>
 <br/>
 <strong>
  Client Success is Our Scoreboard
  <br/>
  <br/>
 </strong>
 We win when our clients win. Delivering scaled, tech-enabled solutions that drive measurable impact and value to build lasting partnerships.
 <br/>
 <br/>
 <strong>
  Grow Every Day
  <br/>
  <br/>
 </strong>
 Expertise is earned continuously by investing in our craft, our colleagues, and our company.
 <br/>
 <br/>
 <strong>
  Own It
  <br/>
  <br/>
 </strong>
 Take responsibility for outcomes, not just outputs.
 <br/>
 <br/>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Free movie tickets!
  </li>
  <li>
   29 days annual leave PLUS Bank Holidays
  </li>
  <li>
   Flextime with core hours between 10am and 3pm
  </li>
  <li>
   2 days&rsquo; work from home, per week
  </li>
  <li>
   4% match pension scheme
  </li>
  <li>
   Enhanced maternity pay
  </li>
  <li>
   Regular social events in both UK locations
  </li>
  <li>
   Professional growth and career development including LinkedIn Learning
   <br/>
   <br/>
  </li>
 </ul>
 In addition to your salary, MarketCast believes in providing a competitive total rewards package for its employees. All benefits are subject to eligibility requirements, and the terms of our official plan may be modified or amended from time to time.
 <br/>
 <br/>
 GENERAL DATA PROTECTION REGULATION (UK GDPR) NOTICE: The organisation collects and processes personal data relating to its applicants, employees and former employees to manage pre-employment and employment relationships and post-employment obligations. The organisation is committed to being transparent about how it collects and uses that data and to meeting its data protection obligations. For further information on the information we collect, how it&rsquo;s used, and how it's protected, please contact the MarketCast UK HR Team.
</div>


UC Davis

<div><h3 class="jobSectionHeader"><b>Position overview</b></h3>
<div><b>Salary range:</b> The salary range for this position is $80,800-$220,900. This position includes membership in the Health Sciences Compensation Plan.
</div><div><h3 class="jobSectionHeader"><b>Application Window</b></h3>
</div><div><p><b>Open date: </b>July 10, 2026
</p></div><div><p><b>Next review date:</b> Monday, Jul 27, 2026 at 11:59pm (Pacific Time)<br>
Apply by this date to ensure full consideration by the committee.
</p></div><div><p><b>Final date: </b>Thursday, Dec 31, 2026 at 11:59pm (Pacific Time)<br>
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
</p></div><h3 class="jobSectionHeader"><b>Position description</b></h3>
<div><div><p>Academic Research Scientist - Pharmacogenomics.
</p><p>The Department of Pathology and Laboratory Medicine at the University of California (UC) Davis, School of Medicine is seeking a dynamic academic research investigator at the Assistant, Associate or Full Professor level in the In-Residence Series who can develop or who has already established an independent hypothesis-based research program pertinent to pharmacogenomics.
</p><p>The expectation is that the candidate will spend approximately 90-95% effort conducting research and 5-10% teaching. Successful candidates are expected to develop and sustain nationally recognized, independent research programs supported by extramural funding with salary support such as NIH and other federal or foundation sources. The candidate is required to work cooperatively and collegially within a diverse environment, and the ability to build and maintain productive professional relationships with medical and technical staff, trainees, and others. The successful candidate will have the opportunity to build on the many strengths in the department, UC Davis Health and UC Davis campus including, but not limited to, strong collaborative relationships with the Alzheimer Disease Center, MIND Institute, the Institute for Regenerative Medicine, NCI designated Comprehensive Cancer Center, the UC Davis Health Firefighters Burn Institute Regional Burn Center and Shriner&rsquo;s Children&rsquo;s Hospital. The successful applicant will play an active role with the Center for Comparative Medicine, School of Veterinary Medicine, and/or the California National Primate Center. These resources provide a rich environment for translational discovery, interdisciplinary collaboration, and high-impact biomedical research. The successful applicant will serve as a bridge between veterinary and human medicine, including working with translational animal models. Involvement with the intricacies of human clinical research will be expected.
</p><p>Teaching duties may include didactic lectures, seminars and laboratory teaching to undergraduate or graduate students, and/or small group teaching of residents, fellows, medical students, graduate students, and students in other health professional programs.
</p><p>All faculty must demonstrate the ability to foster collegiality and work collaboratively in a diverse environment and adhere to university policies and procedures.</p>
<p>For the full position description and to apply, visit Browse Open Recruitments or Log In - AP Recruit</p>
<p>UC Davis conducts more than 11 million clinical tests annually in state-of-the-art clinical laboratories. Annual anatomic pathology volumes equate to: 24,000+ surgical pathology, 9,108+ gynecologic cytology, 3,777+ non-gyn cytology and 2,642 fine needle aspiration biopsies. The laboratory includes a total laboratory automation system for clinical chemistry and hematology, one of the newest and most comprehensive throughout inland northern California. Clinical services are organized into subspecialty teams to provide focused expertise for clinical teams and to enhance collaborative relationships with our clinical colleagues.</p>
<p>The program has many award-winning faculty educators and hosts 16 residents in combined anatomic and clinical pathology training. Fellowships include cytology, hematopathology, informatics, transfusion medicine and two subspecialty surgical pathology fellowships (gynecologic/breast and gastrointestinal/liver).</p>
<p>The UC Davis Department of Pathology is ranked among the top 40 academic pathology departments for NIH funding departments nationally, and our faculty are integrated as leaders and/or collaborators in every research theme within the UC Davis Health System, with special strengths in cancer, neurodegenerative diseases, novel tissue imaging and informatics/artificial intelligence. The department founded the new Center for Diagnostic Innovation (CDxI) which provides resources and expertise to support clinical trials and new test development, and serves as an epicenter for improving test delivery, decision-making, quality programs, and utilization. Core research services available in CDxI and elsewhere in the department include histology and tissue microarray, biorepositories, genomics, and proteomics.</p>
<p>The UC Davis School of Medicine is part of the UC Davis Health System, which is also comprised of the UC Davis Medical Center, the Betty Irene Moore School of Nursing, and the UC Davis Medical Group, an 800-member physician practice network. UCDHS has more than 10,000 faculty and staff and an annual budget of $1.6 billion; UC Davis is an established leader in the use of telecommunications and information technology to advance health. U.S. News &amp; World Report recently ranked the SOM among the top 50 medical schools in the nation.</p>
</div></div>
<h3 class="jobSectionHeader"><b>Qualifications</b></h3>
<div><b>Basic qualifications</b> (required at time of application)
<div><ul><li>Minimum requirements include a Ph.D., D.V.M., M.D., Ph.D./D.V.M. or M.D./Ph.D.</li>
<li>Must have eligibility for licensure by the California Medical Board or the California Veterinary Medical Board.
</li></ul></div></div><div><b>Additional qualifications</b> (required at time of start)
<div><ul><li>Substantial scientific training and research experience, and a demonstrated record of scholarly achievement and teaching appropriate for appointment at the Assistant, Associate, or Full Professor level in the In-Residence Series is required.
</li></ul></div></div><h3 class="jobSectionHeader"><b>Application Requirements</b></h3>
<div><div><b>Document requirements</b>
<ul><li><div><p>Curriculum Vitae - Your most recently updated C.V.
</p></div></li><li><div><p>Cover Letter</p>
</div></li><li><div><p>
Statement of Research</p>
</div></li><li><div><p>
Authorization to Release Information Form - This form is required for all applicants applying to academic recruitments. Please see the Employment Disclosure Requirements webpage for more information. Download, complete, sign, and upload the form.
</p></div></li><li><div><p>Statement of Teaching</p>
</div></li></ul>
</div><div><div><b>Reference requirements</b></div><ul><li>
5 required (contact information only)</li></ul><div><p>
Applicants must provide the names and contact information of their references. The hiring unit will request confidential letters from the references of those applicants who are under serious consideration.</p>
</div></div>
<b>Apply link:</b>
</div>
<div><p><b>Help contact:</b> srjackson@ucdavis.edu</p>
</div>
<h3 class="jobSectionHeader"><b>About UC Davis</b></h3>
<div>
<div><p>As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer.</p>
<ul><li>&ldquo;Misconduct&rdquo; means any violation of the policies or laws governing conduct at the applicant&rsquo;s previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer.</li>
<li>UC Sexual Violence and Sexual Harassment Policy</li>
<li>UC Anti-Discrimination Policy for Employees, Students and Third Parties</li>
<li>APM - 035: Affirmative Action and Nondiscrimination in Employment
</li></ul><p>To implement this process, UC Davis requires all applicants for any open search to complete, sign, and upload the form entitled, &quot;Authorization to Release Information&quot; into UC RECRUIT as part of their application. If an applicant does not include the signed authorization with the application materials, the application will be considered incomplete, and as with any incomplete application, will not receive further consideration.</p>
<p>UC Davis is a smoke and tobacco-free campus.</p>
<p>The University of California is 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, age, protected veteran status, or other protected status under state for federal law.
</p><p>Under Federal law, the University of California may employ only individuals who are legally able to work in the United States as established by providing documents as specified in the Immigration Reform and Control Act of 1986. Certain UC Davis positions funded by federal contracts or sub-contracts require the selected candidate to pass an E-Verify check.</p>
<p>The University of California, Davis (UC Davis) is committed to creating a welcoming and inclusive environment for all employees and students. Our excellence in research, teaching, and service are embodied by members of our academic community who share our commitment to these values. A variety of resources and programs are available to academics, staff, and students that reflect the core values reflected in our strategic plan: &ldquo;To Boldly Go,&rdquo; our Principles of Community, the Office of Academic Affairs&rsquo; Mission Statement, and the UC Board of Regents Policy 4400.
</p><p>UC Davis is also a national leader in inclusive practice. There are numerous links available on the About Us webpage where you can learn more about our administration, campus rankings, locations, campus safety, sustainability, visiting UC Davis and UC Davis Health.</p>
<p>The university is consistently ranked among the top institutions in the world for campus sustainability practices by the UI Green Metric World University Rankings. UC Davis is focused on achieving net-zero greenhouse gas emissions and repeatedly shown its commitment to preserving a healthy and sustainable environment for generations to come.</p>
<p>The University of California and UC Davis are committed to offering a wide variety of benefits for employees. The University of California Employee benefits and UC Davis New Employee benefits webpages have additional information.</p>
<p>As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.</p></div><br>
</div>
<div></div><h3 class="jobSectionHeader"><b>Job location</b></h3>
<div>Sacramento, CA</div></div>

Academic Research Scientist/Assistant/Associate/Professor

MercyOne

<b>Employment Type:</b><br>
Full time
<br><br>
<b>Shift:</b><br>
<b>Description:</b><br>
An H-1B nonimmigrant worker is being sought by MercyOne Des Moines Medical Center through the filing of a labor condition application with the Employment and Training Administration of the US Department of Labor.
<br><br>
One such worker is being sought.
<br><br>
The worker is being sought for employment as Associate Data Scientist.
<br><br>
The wage of $43.00 to $48.00 per hour is being offered to the worker.
<br><br>
The period of employment for which this worker is sought is from October 15, 2026 through October 14, 2029.
<br><br>
The employment will occur at the MercyOne Des Moines Medical Center facility in Clive, Iowa, and a home office in West Des Moines, Iowa.
<br><br>
The labor condition application is available for public inspection at the MercyOne Des Moines Medical Center facility located in Des Moines, Iowa.
<br><br>
Complaints alleging misrepresentation of material facts in the labor condition application and/or failure to comply with the terms of the labor condition application may be filed with any office of the Wage and Hour Division of the United States Department of Labor.
<br><br>
THERE IS NO BARGAINING REPRESENTATIVE; THEREFORE, A NOTICE OF THIS FILING HAS BEEN POSTED EITHER ELECTRONICALLY OR PHYSICALLY AND WAS, OR WILL REMAIN, POSTED FOR 10 DAYS IN AT LEAST TWO CONSPICUOUS LOCATIONS WHERE H-1B NONIMMIGRANTS WILL BE EMPLOYED.
<br><br>
Our Commitment
<br><br>
Rooted in our Mission and Core Values, we honor the dignity of every person and recognize the unique perspectives, experiences, and talents each colleague brings. By finding common ground and embracing our differences, we grow stronger together and deliver more compassionate, person-centered care. 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, veteran status, or any other status protected by federal, state, or local law.

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