staff research scientist

Google

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>PhD in Computer Science, a related field, or equivalent practical experience.</li>
<li>4 years of experience with research agendas across multiple teams or projects.
<br>
</li><li>One or more scientific publication submission(s) for conferences, journals, or public repositories.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>2 years of experience in coding and leading multiple research efforts and influencing research direction.<br>
</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><div>
As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.</div><br>
As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we&rsquo;re working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.<div></div><div><br>
The US base salary range for this full-time position is $207,000-$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
</div><div></div><div>Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Author research papers to share and generate impact of research results across organization and in the research community.<br>
</li>
<li>Assist in research growth by sharing research trends and best practices within the community by reviewing academic papers, and serving on program committees and grant panels.<br>
</li>
<li>Deliver on large portions of a project by defining the data structure, framework, design, and evaluation metrics for research solution development and implementation. Identify timelines and obtain resources needed.<br>
</li>
<li>Identify new and upcoming research areas by interacting with potential external and internal collaborators. Develop long-term research strategy and plans to expand the impact of Google research.<br>
</li>
<li>Identify complex but defined problems/gaps in existing technology and engage stakeholders and leaders to address them.<br>
</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. 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. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Staff Research Scientist, Google Research

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>PhD in Computer Science, a related field, or equivalent practical experience.</li>
<li>6 years of experience with research agendas across multiple teams or projects.
<br>
</li><li>One or more scientific publication submission(s) for conferences, journals, or public repositories.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>4 years of experience leading multiple research efforts and influencing research direction.
<br>
</li><li>2 years of coding experience.<br>
</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.</p>
As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we&rsquo;re working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.<div></div><div><br>
The US base salary range for this full-time position is $262,000-$365,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.</div><div></div><div><br>
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Author research papers to share and generate impact of research results across organization and in the research community.<br>
</li>
<li>Contribute to research growth by sharing research trends and best practices within the community by reviewing academic papers, serving on program committees and grant panels, speaking at Google events or research conferences, or organizing research conferences and visioning activities.<br>
</li>
<li>Deliver full projects by defining the data structure, framework, design, and evaluation metrics for research solution development and implementation. Identify timelines and obtain resources needed.<br>
</li>
<li>Identify new and upcoming research areas by interacting with potential external and internal collaborators. Own long-term research strategy and plans to expand the impact of Google research.<br>
</li>
<li>Identify undefined problems in existing technology and engage stakeholders and leaders to address them.<br>
</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. 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. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Senior Staff Research Scientist, Google Research

Proterial

<div><p><b>Location:
</b></p>Santa Clara, California, United States
<p></p><p><b>Job ID:
</b></p>R0126424
<p></p><p><b>Date Posted:
</b></p>2026-04-13
<p></p><p><b>Company Name:
</b></p>HITACHI AMERICA, LTD.
<p></p><p><b>Profession (Job Category):
</b></p>Engineering &amp; Science
<p></p><p><b>Job Schedule:
</b></p>Full time
<p></p><p><b>Remote:
</b></p>No
<p></p><p><b>Job Description:
</b></p><p><b><i>Power System Research Scientist
</i></b></p><p><b>Division: </b>Energy Solutions Division
</p><p><b>Location: </b>Santa Clara, CA or remote
</p><p><b>Status: </b>Regular, Full Time
</p><p></p><p><b>The Company
</b></p><p>Hitachi drives Social Innovation Business, creating a sustainable society through the use of data and technology. We solve customers' and society's challenges with Lumada solutions leveraging IT, OT (Operational Technology) and products. Hitachi operates under the business structure of &ldquo;Digital Systems &amp; Services&rdquo; - supporting our customers&rsquo; digital transformation; &ldquo;Green Energy &amp; Mobility&rdquo; - contributing to a decarbonized society through energy and railway systems, and &ldquo;Connective Industries&rdquo; - connecting products through digital technology to provide solutions in various industries. Driven by Digital, Green, and Innovation, we aim for growth through co-creation with our customers. The company&rsquo;s consolidated revenues for fiscal year 2022 (ended March 31, 2023) totaled 10,881.1 billion yen, with 696 consolidated subsidiaries and approximately 320,000 employees worldwide. For more information on Hitachi, please visit the company's website at https://www.hitachi.com .
</p><p></p><p><b>Summary
</b></p><p>Hitachi America, Ltd. ( http://www.hitachi-america.us/ ) has openings for postdoc position in the Energy Solution Laboratory located in Silicon Valley. The laboratory focuses on research, technology innovation, proof-of-concept activities, technical marketing and business development for novel energy solutions, leveraging Hitachi&rsquo;s technologies, reinforcing Hitachi&rsquo;s messaging around IoT technologies, and establishing Hitachi as a leader in big data. More information about the research done at the Big Data Laboratory can be found at: http://www.hitachi-america.us/rd/about_us/bdl/
</p><p></p><p>More information about Hitachi IoT technology in Smart Industry can be found at: https://www.hitachivantara.com/en-us/solutions/iot-insights/industrial-iot.html
</p><p></p><p><b>Requirements
</b></p><p>We&rsquo;re looking for a team player, who is motivated by delivering great work and the Hitachi vision. The ideal candidate will possess the following skills and background:
</p><ul><li><p>Power System Research Scientist in the areas of electric power distribution and transmission systems
</p></li><li><p>Conduct research in power system analysis, focusing on both distribution and transmission.
</p></li><li><p>Collaborate with internal and external cross-functional teams, including utility partners, academic institutions, and government agencies.
</p></li><li><p>Publish research findings in peer-reviewed paper/journal
</p></li></ul><p></p><p><b>Qualifications
</b></p><ul><li><p>Ph.D. in Electrical Engineering or any other related degree with 1-3 years of experiences in power system.
</p></li><li><p>Demonstrated expertise in both distribution and transmission system analysis.
</p></li><li><p>Knowledge of transmission analysis such as power flow, stability, and contingency analysis is preferred.
</p></li><li><p>Knowledge of economic analysis preferred.
</p></li><li><p>Knowledge of distribution power flow analytics, nature of electrical loads is preferred.
</p></li><li><p>Knowledge of smart grid technologies, microgrids, DER management, and control systems is preferred.
</p></li><li><p>Proficiency in Python is a must.
</p></li><li><p>Proficiency in AI/ML algorithm development is preferred.
</p></li><li><p>Familiar with power system simulation tools such as MATLAB/Simulink, OpenDSS, PSSE, or GridLAB-D is preferred.
</p></li></ul><p></p><p><b>Our Values
</b></p><p>We are proud to say we are an equal opportunity employer and welcome all applicants for employment without attention to any factor that doesn&rsquo;t impact your ability to do the job, including race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. We are proud of Japanese heritage, with our values expressed through the Hitachi Spirit:
</p><p>Wa &ndash; Harmony, Trust, Respect
</p><p>Makoto &ndash; Sincerity, Fairness, Honesty, Integrity
</p><p>Kaitakusha-Seishin &ndash; Pioneering Spirit, Challenge
</p><p></p><p><i>For California only (as required by California&rsquo;s Pay Transparency for Pay Equity Act ( </i>SB 1162 <i>) </i>: <i>The expected salary for this position in our California office is </i>$113,800 - $142,250 <i>. Pay is determined based on a variety of factors including, but not limited to, depth of experience in the practice area. Employees are eligible to participate in Hitachi America&rsquo;s variable pay program, subject to the program&rsquo;s conditions and restrictions.
</i></p><p><i>Qualified Applicants with arrest or Conviction records will be considered for Employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
</i></p><p></p><p><b><i>Equal Opportunity Employer </i></b><b><i>(EOE)-Females/Minorities/Protected </i></b><b><i>Veterans/Individuals with Disabilities
</i></b></p><p></p><p><b><i>If you need a reasonable accommodation to apply for a job at Hitachi, please send the nature of request and contact information to </i></b><b><i>accommodation@hal.hitachi.com. </i></b><b><i>Queries other than accommodation requests will not be responded to.</i></b></p></div>

Power Systems Research Scientist

Walmart

<div><h2 class="jobSectionHeader"><b>Position Summary...</b></h2>
We are seeking a highly skilled Staff Data Scientist to join the Decision Sciences team at Walmart, supporting US Store Operations. In this role, you will lead advanced analytics, experimentation, and measurement efforts that enable data-driven decisions across store operations initiatives. You will partner with business and technical stakeholders to define success metrics, evaluate impact, and generate insights that improve operational outcomes.
<br>
<br>
A key part of this role is supporting and enhancing the experimentation and measurement platform developed by the team, with a focus on automation, scale, and usability. The ideal candidate combines strong statistical and machine learning expertise with business acumen, platform thinking, and the ability to influence across functions. This role also requires going beyond experiment readouts by conducting deep dives that help the business understand the true impact of initiatives, what drove value, what did not, and what actions should be taken next.<p></p><h2 class="jobSectionHeader"><b>
What you'll do...</b></h2><p></p><div><div><p><b>
Responsibilities</b></p></div><div><ul><li><p>
Partner with US Store Operations and cross-functional stakeholders to identify high-impact problems and translate them into experimentation, measurement, and analytical solutions.</p></li></ul></div><div><ul><li><p>
Design and interpret experiments and measurement frameworks, including defining success metrics, KPIs, and guardrails for key initiatives.</p></li></ul></div><div><ul><li><p>
Apply causal inference, statistical modeling, and machine learning to evaluate impact and generate actionable insights.</p></li></ul></div><div><ul><li><p>
Conduct post-experiment deep dives to understand true business impact, identify value drivers, and determine what worked, what did not, and the best next course of action.</p></li></ul></div><div><ul><li><p>
Analyze changes in key metrics and perform root-cause analyses to uncover opportunities for operational improvement.</p></li></ul></div><div><ul><li><p>
Enhance the team&rsquo;s experimentation and measurement platform through automation, scalability, and improved analytical rigor.</p></li></ul></div><div><ul><li><p>
Communicate findings and recommendations clearly to business and technical stakeholders, including senior leadership.</p></li></ul></div><p></p><div><p><b>
Qualification</b><b>s</b></p></div><div><ul><li><p>
Master&rsquo;s or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or a related quantitative field.</p></li></ul></div><div><ul><li><p>
5+ years of experience in data science, decision science, experimentation, or advanced analytics roles.</p></li></ul></div><div><ul><li><p>
Strong expertise in experimentation, A/B testing, quasi-experimental methods, and causal inference.</p></li></ul></div><div><ul><li><p>
Hands-on experience building and applying statistical, predictive, and machine learning models to solve business problems.</p></li></ul></div><div><ul><li><p>
Strong programming skills in Python and SQL with experience writing production-quality, scalable, and maintainable analytical code.</p></li></ul></div><div><ul><li><p>
Experience building analytical frameworks and translating ambiguous business problems into measurable solutions.</p></li></ul></div><div><ul><li><p>
Familiarity with data visualization and storytelling tools to communicate insights effectively.</p></li></ul></div></div><div><div><ul><li><p>
Strong stakeholder management and communication skills, with the ability to influence decisions across business and technical teams.</p></li></ul></div><div><ul><li><p>
Ability to operate in a fast-paced environment, manage multiple priorities, and deliver high-quality work with urgency.</p></li></ul></div><p></p><div><p><b>
Preferred Qualifications</b></p></div><div><ul><li><p>
Experience in retail, store operations, supply chain, or other operational business environments.</p></li></ul></div><div><ul><li><p>
Experience contributing to or enhancing internal data science platforms, experimentation platforms, or measurement systems.</p></li></ul></div><div><ul><li><p>
Experience with workflow automation, scalable analytical tooling, or decision-support systems.</p></li></ul></div><div><ul><li><p>
Exposure to or hands-on experience with agent-based systems, AI agents, or LLM-enabled workflow automation.</p></li></ul></div></div><p>
ㅤ</p><p></p><p>
ㅤ</p><p>
ㅤ</p><p>
ㅤ</p><p></p><p>
&lrm;</p><h2 class="jobSectionHeader"><b>
Minimum Qualifications...</b></h2><p><i>
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
</i></p><p></p>Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field<p></p><h2 class="jobSectionHeader"><b>
Preferred Qualifications...</b></h2><p><i>
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.</i></p><p></p>
Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart&rsquo;s accessibility standards and guidelines for supporting an inclusive culture.<p></p><h2 class="jobSectionHeader"><b>
Primary Location...</b></h2><p></p>
802 Respect Dr, Bentonville, AR 72716, United States of America<p></p>
Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.</div>

Staff, Data Scientist - Experimentation & Measurement

<div><h2 class="jobSectionHeader"><b>Position Summary...</b></h2><p></p><h2 class="jobSectionHeader"><b>
What you'll do...</b></h2><b>
Walmart Marketplace</b><br>
<br>
Walmart Marketplace is a key part of e-commerce at Walmart. It is a gateway for Third-Party Sellers to manage their operations, such as onboarding, catalogs, order fulfillment, global opportunities, and return &amp; refund management. We are responsible for providing the best in-class marketplace experience for our sellers and customers through the design, development, and operations of highly scalable systems. We interact with multiple teams within the company to develop scalable, robust technical solutions. The data scientist role will be part of the data science team and will play a key role working along with others within the Marketplace engineering organization, product managers and business stakeholders to build Machine Learning products.<br>
<br>
More about Marketplace: https://marketplace.walmart.com/
<br>
<br>
<b>What you'll do:</b> As a full stack <b>Staff Data Scientist for Walmart</b>, you will be responsible for building scalable end-to-end data science solutions for our data products.
<ul><li>Own the MLOps lifecycle, from data monitoring to refactoring data science code to building robust model monitoring workflows for model lifecycle management</li><li>
Can develop and maintain scalable MLOps infrastructure, such as building Kafka pipeline for unified logging and monitoring across multiple projects.</li><li>
Apply SRE (Site Reliability Engineering) principles for ML workloads, optimizing cloud deployments, monitoring performance and troubleshooting application latency or operational issues.</li><li>
Lead code quality and engineering best practices by conducing code reviews and mentoring junior MLEs.</li><li>
Can provide high-level architectural project guidance, break down complex tasks, and help resolve project challenges for the team.</li><li>
Build continuous, distributed and scalable training pipeline, inference pipeline and performance monitoring pipeline to be used across several Marketplace initiatives.</li><li>
Enhance data feedback/annotation workflows to improve efficiency of our labeling team</li><li>
Demonstrate strong thought-leadership and consult with product and business stakeholders to build, scale and deploy holistic machine learning solutions after successful prototyping.</li><li>
Collaborate cross-functionally with stakeholders to align AI solutions with Walmart&rsquo;s business objectives.</li><li>
Build and deploy end-to-end models, balancing accuracy, computational efficiency, and business impact.</li></ul><br>
<br>
<br>
<b>What you'll bring:</b>
<ul><li>Very good knowledge of the foundations of machine learning and statistics</li><li>
Experience in machine learning, supervised and unsupervised and deep learning.</li><li>
Experience in analyzing the complex problems and translate it into data science algorithms</li><li>
Experience with big data analytics - identifying trends, patterns, and outliers in large volumes of data
</li><li>Strong Experience in Python with excellent knowledge of Data Structures</li><li>
Strong Experience with big data platforms &ndash; Hadoop (Hive, Pig, Map Reduce, Scala, Spark)
</li><li>Hands on experience with Git</li><li>
Experience with SQL and relational databases, data warehouse</li></ul><br>
<br>
<br>
<b>About Walmart Global Tech</b><br>
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That&rsquo;s what we do at Walmart Global Tech. We&rsquo;re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world&rsquo;s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Walmart&rsquo;s culture is a competitive advantage, and it&rsquo;s fostered by being together. Working together in person allows us to collaborate, align quickly and innovate with greater speed. We use our campuses to create purposeful connection rooted in deepening understanding and investing in the development of our associates.<br>
Our hubs: Walmart is a global company with offices across the United States and around the world. Our global headquarters is in Bentonville, Arkansas, with primary hubs in the San Francisco Bay area and New York/New Jersey.
<br>
<br>
<b>Benefits:</b><br>
Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.<br>
<br>
<b>Equal Opportunity Employer:</b><br>
Walmart, Inc. is an Equal Opportunity Employer &ndash; By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing unique styles, experiences, identities, ideas, and opinions &ndash; while being inclusive of all people.<br>
<br>
<i>The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.</i><br>
 At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
<br>
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
<br>
For information about benefits and eligibility, see One.Walmart.
<br>
The annual salary range for this position is $110,000.00 - $220,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
<br>
<ul><li>Stock</li></ul><p>
ㅤ</p><p></p><p>
ㅤ</p><p>
ㅤ</p><p>
ㅤ</p><p></p><p>
&lrm;</p><h2 class="jobSectionHeader"><b>
Minimum Qualifications...</b></h2><p><i>
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
</i></p><p></p>Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field<p></p><h2 class="jobSectionHeader"><b>
Preferred Qualifications...</b></h2><p><i>
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.</i></p><p></p>
Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart&rsquo;s accessibility standards and guidelines for supporting an inclusive culture.<p></p><h2 class="jobSectionHeader"><b>
Primary Location...</b></h2><p></p>
2501 Se J St, Ste A, Bentonville, AR 72716-3724, United States of America<p></p>
Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.</div>

(USA) Staff, Data Scientist

Dana-Farber Cancer Institute

<div><div><div><div>Job Ref:</div><div>
JR-3293</div></div><br>
<div><div>Location:</div><div>
450 Brookline Ave, BOSTON, MA 02215</div><br>
</div>
<div><div>Category:</div><div>
Research Laboratory</div></div><br>
<div><div>Employment Type:</div><div>
Full time</div></div><br>
<div><div>Work Location:</div><div>
Onsite: 100% onsite</div></div><br>
<div></div><div><div>Salary/Pay Rate:</div><div>
$47,500.00 - $51,300.00 per year</div>
</div></div><p><b>Overview</b></p>
<p></p><div><div>The Bernstein Laboratory answers fundamental questions about the epigenetic regulation of cellular state, and how these systems go awry in cancer. With this goal in mind, we have pioneered approaches to profile and perturb the epigenome, including at single cell resolution.<br>
<br>
We are looking for a highly motivated individual who will contribute to and lead research projects, think independently and make original intellectual contributions. Research technicians in our laboratory regularly present their own work and contribute to the writing of papers and grant applications. We view a research technician as a mentored training position, with a primary goal being the professional development of our technicians. Prior technicians have successfully pursued a variety of subsequent career directions including obtaining MDs, PhDs, MD-PhDs, and direct entry into industry.
<br>
<br>
The successful candidate will join the team of Prof. Brad Bernstein working primarily with postdoctoral researcher Dr. Alba Rodriguez-Meira, and will also assist with general lab management when needed. Our group spans the Department of Cancer Biology at the Dana-Farber Cancer Institute, Harvard Medical School and the Broad Institute of MIT and Harvard, with extensive collaboration across these institutions. This position requires full-time on-site presence.<p>
Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS, and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.</p><br>
<ul><li>
Plan, execute and troubleshoot genomic assays and gene editing protocols, including next generation sequencing, CRISPR-Cas9 editing, primary cell culture and other specialized protocols.</li><li>
Conducts analysis and interpretation of observed results, including computational analysis of genomic datasets using established pipelines in R, python and HPC.</li><li>
Write reports and summaries of findings, including grant preparation and presentations, and look for opportunities to co-author publications. May be expected to participate in formal and information presentations of results.</li><li>
Expected to provide intellectual and interactive commitment to position by keeping up with appropriate literature and research publications</li><li>
Maintain detailed notebook of all work-related activities</li><li>
Performs standard experimental procedures, maintain lab reagents and equipment, chemicals and sample databases.</li><li>
Clean, maintain and prepare equipment, supplies and work areas. May be responsible for ordering of supplies, collaborate with Purchasing and may be responsible for negotiating with vendors</li><li>
Monitor laboratory work to ensure compliance with Environmental Health and Safety information, follow and improve the standard operation procedures specific to each laboratory</li><li>
May be responsible for collecting biological specimens to detect the presence of disease or other problems</li></ul><p><b>
KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED:</b></p><ul><li>
Knowledge of information and techniques related to either biology, chemistry, or medicine is preferred</li><li>
Must have excellent communication skills (written and verbal) and be able to work with a wide variety of faculty and staff</li><li>
Ability to analyze information and use logic to address work-related issues and problems</li><li>
Must have attention to detail and be thorough in completing work tasks</li><li>
Ability to work within a team environment</li></ul><p><b>
MINIMUM JOB QUALIFICATIONS:</b></p><p>
The position requires a bachelor&rsquo;s degree, preferably in biology or chemistry, with no prior professional experience necessary. Candidates will learn and technical principles, processes, and concepts, use institutional policies to address routine issues, and work on problems of limited scope. The role involves following standard practices to analyze situations or data and building stable internal working relationships.</p><p><b>
SUPERVISORY RESPONSIBILITIES:
</b></p><p>No supervisory responsibilities. Normally receives detailed instructions on all work.</p><p><b>
PATIENT CONTACT: </b>None
</p><p>At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff who offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and compassionate professionals, neither do we. If working in this kind of organization inspires you, we encourage you to .</p><p>
Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law.
</p><h3 class="jobSectionHeader"><b>EEO Poster</b></h3>
.<p>
Pay Transparency Statement</p><p>
The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate&rsquo;s relevant experience, skills and qualifications.</p><p>
For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA).</p>
$47,500.00 - $51,300.00</div></div></div><p></p>

Research Technician (Bernstein Lab)

University of California Los Angeles

<div><div><div><div><div>We are looking for an enthusiastic, self-driven incumbent to conduct scientific projects and perform experiments. The laboratory studies autoimmune diseases and anti-cancer immune responses in both animal models and humans. This position will entail a variety of research procedures, including molecular biology (PCR, DNA sub cloning, sequencing, protein analysis), tissue culture, immunohistochemistry, flow cytometry. Experience maintaining a mouse colony, including genotyping, husbandry, and meticulous record keeping, are essential. We expect the SRA will be able to perform procedures on mice, including motor nerve conduction studies and retro-orbital injections. Functioning as a clinical research coordinator and preparation of peripheral blood mononuclear samples are also required.</div><br>
<br>
<p><b>Salary &amp; Compensation</b></p><br>
<br>
<ul><li>UCLA provides a full pay range. Actual salary offers consider factors, including budget, prior experience, skills, knowledge, abilities, education, licensure and certifications, and other business considerations. Salary offers at the top of the range are not common. Visit UC Benefit package to discover benefits that start on day one, and UC Total Compensation Estimator to calculate the total compensation value with benefits.
</li></ul><p><b>Qualifications</b></p><br>
<ul><li>
1. Knowledge of sterile techniques used in tissue culture. (Required)</li><li>
2. Knowledge and skill to manage mouse colonies. (Required)</li><li>
3. Demonstrated knowledge of animal husbandry and regulations, including tissue collection and processing. (Required)</li><li>
4. Knowledge of genotyping methods. (Required)</li><li>
5. Demonstrated skill in use of specialized laboratory equipment, including flow cytometers, centrifuge, light microscopy, fluorescence microscopy, ELISA plate reader, PCR and real-time PCR machines and tissue culture hood. (Required)</li><li>
6. Demonstrated skill performing and analyzing multiple virologic and immunologic assays, including growing and purification of infectious agents, titration assays, DNA/RNA isolation, PCR and RT-PCR, FACS and magnetic bead sorting, flow cytometry, fluorescence microscopy and ELISA (Required)</li><li>
7. Skill in analyzing, developing and adapting established experimental methods to specific research needs. (Required)</li><li>
8. Skill in keeping accurate and organized experimental records. Ability to write clear and concise experimental protocols. (Required)</li><li>
9. Demonstrated knowledge of laboratory safety procedures associated with the handling and disposal of chemicals and chemical waste, radioisotopes and radioactive waste and biohazards and biohazardous waste. (Required)</li><li>
10. Knowledge of and ability to control safe and efficient use of laboratory equipment, supplies and space. (Required)</li><li>
11. Skill in working independently and following through on assignments from initiation to completion with minimal direction and supervision. (Preferred)</li><li>
12. Organizational skill and flexibility to manage multiple tasks with competing deadlines. Ability to simultaneously perform all lab management while maintaining an active research program. (Preferred)</li></ul>
<br>
<p><b>Special Conditions for Employment</b></p><br>
<ul><li>
Background Check: Continued employment is contingent upon the completion of a satisfactory background investigation.</li><li>
Age Requirement: Candidate(s) must be 18 years or older to be eligible to be hired.</li><li>
COVID and Flu Vaccinations: The position is subject to providing evidence of inoculation.</li><li>
Ability to move and lift up to 25 lbs. (Required)</li></ul>
<br>
<p><b>Schedule</b></p><br>
<br>
8:00 a.m. to 5:00 p.m.
<br>
<p><b>Union/Policy Covered</b></p><br>
<br>
RX-Research Support Professionals
<br>
<p><b>Complete Position Description</b></p><br>
<br>
https://universityofcalifornia.marketpayjobs.com/ShowJob.aspx?EntityID=38&amp;jobcode=41167514</div></div></div><div><div><div><p>
Apply</p></div></div></div></div>
<br><div><div><b>Campus Requisition #:</b></div>
<p>10320</p>
<div><b>UC Payroll Title:</b></div>
<p>SRA 2 NEX</p>
<div><b>Department:</b></div>
<p>MICROBIOLOGY, IMMUNO &amp; MOLECULAR GENETIC</p>
<div><b>Appointment Type:</b></div>
<p>2 - Staff: Career</p>
<div><b>Anticipated Hiring Pay Scale:</b></div>
<p>$31.23 Hourly</p>
<ul><li><b>Full Salary Range:</b></li></ul>
<p>USD $31.23/Hr. - USD $50.24/Hr.</p>
<div><b>Onsite | Remote | Hybrid Type:</b></div>
<p>Fully Onsite</p>
<div><b>Department Location:</b></div>
<p>615 Charles E Young Dr S
</p><div><b>Full or Part Time:</b></div>
<p>Full Time</p></div>

Staff Research Associate 2 Non Exempt

Search 10000+ Staff research scientist jobs near you this April. New roles added regularly across leading industries. Apply today.