research scientist

Texas A&M University

<div><p><b>Job Title
</b></p>Assistant Research Scientist
<p></p><p><b>Agency
</b></p>Texas A&amp;M University
<p></p><p><b>Department
</b></p>Dir Private Enterprise Research Center
<p></p><p><b>Proposed Minimum Salary
</b></p>Commensurate
<p></p><p><b>Job Location
</b></p>College Station, Texas
<p></p><p><b>Job Type
</b></p>Staff
<p></p><p><b>Job Description
</b></p><p><b>Who We Are
</b></p><p>The Private Enterprise Research Center (PERC) was founded in 1977 through the generosity of former students, corporations and foundations and pursues a joint mission of supporting academic research at Texas A&amp;M University and developing market-oriented solutions to public policy problems. PERC also provides updated information on economic variables that affect the local metro area, Texas, and nationwide.
</p><p></p><p><b>What we want
</b></p><p>The Assistant Research Scientist will help augment PERC&rsquo;s publications by producing academic research, collaborate with other PERC staff on research projects and tasks, submit policy or research briefs for review for publication, and perform other duties as assigned.
</p><p></p><p><b>What you need to know
</b></p><ul><li><p><b>Salary </b>: Commensurate
</p></li><li><p>Submit a <b>Resume </b>or CV
</p></li><li><p>Submit a <b>Cover Letter
</b></p></li><li><p>Submit a <b>Sample of Work
</b></p></li><li><p>May have to work on the weekends and/or after normal hours
</p></li><li><p>May travel as required
</p></li></ul><p></p><p><b>Qualifications
</b></p><p><b>Required Education and Experience
</b></p><ul><li><p>PhD in Economics
</p></li><li><p>Experience in Data Analysis
</p></li></ul><p></p><p><b>Required Knowledge, Skills and Abilities
</b></p><ul><li><p>MS degree in economics or closely related field.
</p></li><li><p>Must be familiar with Microsoft 365 products and econometrics software such as STATA, R, and MATLAB.
</p></li><li><p>Ability to effectively communicate orally and in writing.
</p></li><li><p>Ability to positively and effectively communicate with staff members and stakeholders.
</p></li><li><p>Provide excellent communication and presentation skills.
</p></li><li><p>Strong interpersonal skills and organizational skills.
</p></li><li><p>Must be able to explain economic terms and concepts effectively to a variety of audiences of differing expertise levels.
</p></li><li><p>Ability to multi-task and work cooperatively as part of a team.
</p></li></ul><p></p><p><b>Responsibilities
</b></p><ul><li><p>The Research Scientist will prepare and submit articles to peer reviewed journals for publication and participate in PERC&rsquo;s public policy research agenda by conducting research in the general areas of healthcare, entitlements, retirement, public and labor economics, or monetary policy.
</p></li><li><p>This work includes collaborating with other staff members at PERC in developing research objectives, constructing supporting datasets, conducting empirical analysis, and writing working papers and public policy white papers.
</p></li></ul><p></p><p><b>Why Work at Texas A&amp;M University
</b></p><p>We are a prestigious university with strong traditions, Core Values, and a community of caring and collaboration. Amenities associated with a major university, such as: sporting and cultural events, state-of-the-art recreation facilities, the Bush Library and Museum, and much more await you. Experience all that a big city has to offer but with a reasonable cost-of-living and no long commutes. In addition, you have access to many benefits and perks, such as:
</p><p></p><ul><li><p>Health, dental, vision, life and long-term disability insurance with Texas A&amp;M contributing to employee health and basic life premiums
</p></li></ul><ul><li><p>12-15 days of annual paid holidays
</p></li></ul><ul><li><p>Up to eight hours of paid sick leave and at least eight hours of paid vacation each month
</p></li></ul><ul><li><p>Automatic enrollment in the Teacher Retirement System of Texas
</p></li></ul><ul><li><p>Free exercise programs and release time for health and wellness programs
</p></li></ul><ul><li><p>All employees have access to free LinkedIn Learning training programs, webinars, and limited financial support to attend conferences, workshops, and more
</p></li></ul><ul><li><p>Educational release time and tuition assistance for completing a degree while a Texas A&amp;M employee
</p></li></ul><p></p><p><b>Our Commitment
</b></p><p>Texas A&amp;M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents &amp; lived experiences. Embracing varying opinions and perspectives strengthens our core values which are: Respect, Excellence, Leadership, Loyalty, Integrity, and Selfless Service.
</p><p></p><p>All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution&rsquo;s verification of credentials and/or other information required by the institution&rsquo;s procedures, including the completion of the criminal history check.
</p><p></p><p>Equal Opportunity/Veterans/Disability Employer.</p></div>

Assistant Research Scientist

Columbia University

<div><p>The Lamont-Doherty Earth Observatory (LDEO) of Columbia University invites applications for a Postdoctoral Research Scientist to support a U.S. national-scale effort aimed at improving the accuracy of modeling of soil organic carbon, crop productivity, and fertilizer use efficiency under a range of agricultural management systems. This work will directly benefit U.S. farmers and ranchers by providing better information to guide decision-making on management practices such as optimized nutrient management, cover cropping, conservation tillage, and improved grazing management. The successful candidate will lead this effort by designing and conducting model intercomparison and ensemble analysis for modeling food security and resource use efficiency-associated outcomes. Key responsibilities include coordinating and developing model intercomparison protocols, compiling standardized model input and measurement datasets across different scales and for different conservation practices, accessing process-based models for quantifying agricultural modeling groups and farming communities, and ranchers, and the scientific community. The successful candidate will work closely with the Agricultural Model Intercomparison and Improvement Project (AgMIP) Coordination Unit and join the Conservation-MIP group. Information about AgMIP can be found at: https://www.agmip.org ; and details about Dr. Xia's Soil System Research Group at LDEO can be found at: https://lamont.columbia.edu/directory/yushu-xia .</p></div>
<br><div><div><p>Candidates should have recently completed or be nearing completion of a PhD in agricultural modeling, soil science, environmental data science, earth system science, ecology, remote sensing, computer science, or closely related field. The ideal candidate should have demonstrated knowledge of soil and agricultural modeling and experience working with both the modeling and farming communities. Strong data science skills, including geospatial analysis and cloud computing, and proficiency in coding languages such as R, Python, and Google Earth Engine, are essential. Excellent oral and written communication skills, along with the ability to network and collaborate effectively, are also critical for success in this Postdoctoral position. Prior experience in applied machine learning and data assimilation is strongly recommended.
</p><p>The search will remain open for at least 30 days after the ad appears and will continue until the position is filled. Initial appointment will be for one year with the possibility of renewal contingent upon performance and funding.
</p><p>Columbia University benefits accompany this Officer of Research appointment.
</p></div><div>instructions</div>
<div>
<p>We accept online applications only.</p></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>

Postdoctoral Research Scientist

GenBio AI

<div>
 Headquartered in Silicon Valley, we are a newly established start-up where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology and medicine through the power of generative AI. Our team comprises leading minds and innovators in AI and biological science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine.
 <br/>
 <br/>
 We are committed to decoding biology holistically and enabling the next generation of life-transforming solutions. As the first mover in pan-modal Large Biological Models (LBM), we are pioneering a new era of biomedicine, with our LBM training leading to ground-breaking advancements and a transformative approach to healthcare. Our robust R&amp;D team and leadership in LLMs and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris and Abu Dhabi, we are poised to make a global impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI.
 <br/>
 <br/>
 <strong>
  Job Description:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You will work with the team to conduct cutting-edge AI and computational biology research. Your primary tasks will include improving existing models and exploring new methodologies to advance our AI capabilities in biology.
  </li>
  <li>
   You will work with the team on designing and executing experiments, analyzing complex datasets, and applying statistical techniques to validate the performance and robustness of AI systems.
  </li>
  <li>
   Additionally, you will collaborate closely with the AI/ML researchers and computational biologists on the team to develop our state-of-the-art AI for biology foundation models
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualification:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   M.S. or Ph.D. student (or evidence of equivalent level of expertise) in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field
  </li>
  <li>
   Skilled in developing, implementing, and debugging deep learning methods/models in popular frameworks, such as JAX, TensorFlow, or PyTorch, with an interest in generative models, graph neural networks, or large-scale deep learning applications
  </li>
  <li>
   Strong theoretical foundation (e.g., statistics, optimization, graph theory, linear algebra)
  </li>
  <li>
   Passion for interdisciplinary research (emphasizing the intersection of AI and Biology), and willingness to acquire necessary domain knowledge
  </li>
  <li>
   Motivated and self-driven with the ability to operate with partial descriptions of high-level objectives (as is typical in a start-up environment)
  </li>
  <li>
   Familiarity with software engineering best practices (version control, documentation, etc)
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3 year PhD student and above
  </li>
  <li>
   Proven track record in research and innovation demonstrated through contributions in top-tier AI/ML (e.g., NeurIPS, ICML, CVPR, ECCV, ICCV, ICLR) and/or core biology (e.g., Nature, Science, or Cell) journals and conferences
  </li>
  <li>
   Intern experience in industry (e.g., OpenAI, FAIR, Deepmind, Google Research)
  </li>
  <li>
   Hands-on experience working at the intersection of AI and Biology
  </li>
  <li>
   Experience in large-scale distributed training and inference
  </li>
  <li>
   Open-source contributions, especially if used by others
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Join us as we embark on this journey to redefine the future of biology and medicine.
 <br/>
 <br/>
 We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. GenBio AI participates in the U.S. Department of Homeland Security&rsquo;s E-Verify program to confirm the employment eligibility of all newly hired employees. For more information on E-Verify, please visit www.e-verify.gov.
 <br/>
 <br/>
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>


Research Scientist Intern

Cerebro

<div>
 <p>
  Are you ready to pioneer the future of AI? We&rsquo;re seeking a
  <strong>
   Research Scientist
  </strong>
  with expertise in training
  <strong>
   Multimodal Large Language Models (MLLMs)
  </strong>
  to join an ambitious, cutting-edge team working at the intersection of
  <strong>
   AI, deep learning, and human expression.
  </strong>
  This role offers a unique opportunity to define the next wave of AI innovation by building the
  <strong>
   first real-time human foundation model
  </strong>
  that integrates text, speech, facial expressions, and body language. If you&rsquo;re passionate about pushing research boundaries while delivering real-world applications, we&rsquo;d love to hear from you.
  <strong>
   About the Role
  </strong>
 </p>
 <p>
  As a Research Scientist, you&rsquo;ll drive the development of advanced systems capable of
  <strong>
   understanding and generating lifelike, human-like responses
  </strong>
  in real-time. This unified model will:
 </p>
 <ul>
  <li>
   <strong>
    Understand fine-grained human signals
   </strong>
   &mdash; from a subtle change in tone to a quirked eyebrow &mdash; and infer meaning in context.
  </li>
  <li>
   <strong>
    Generate lifelike, responsive avatars
   </strong>
   whose gestures, expressions, and tone evolve frame-by-frame to deliver genuine, social, and emotionally intelligent interactions.
  </li>
 </ul>
 <p>
  This is an opportunity to tackle blank-page problems and shape foundational technology in an area where real-time, multimodal interaction is still an
  <strong>
   unsolved frontier.This Role is Perfect for You If You...
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Have a PhD
   </strong>
   (or equivalent experience) in training multimodal large language models, autoregressive architectures, or related fields, with a proven track record of publishing groundbreaking research.
  </li>
  <li>
   <strong>
    Excel at deep learning
   </strong>
   and know how to run the entire ML pipeline &mdash; from data preparation and rapid prototyping to large-scale model training, benchmarking, and evaluation.
  </li>
  <li>
   <strong>
    Thrive in ambiguity
   </strong>
   and enjoy charting your own path to solve complex, unstructured challenges.
  </li>
  <li>
   Are passionate about
   <strong>
    bridging research breakthroughs with real-world applications.
   </strong>
  </li>
  <li>
   Write
   <strong>
    clean, efficient code
   </strong>
   that scales and stands the test of time.
  </li>
  <li>
   Collaborate effectively with a diverse team of brilliant minds from different domains.
  </li>
 </ul>
 <p>
  <strong>
   Why Join Us?
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Shape the future of AI:
   </strong>
   This is a rare opportunity to work on foundational technology that unites text, speech, and vision into a cohesive, real-time system &mdash; tackling problems others haven&rsquo;t solved yet.
  </li>
  <li>
   <strong>
    Be part of a world-class team:
   </strong>
   Work alongside PhDs from top institutions like MIT, UW, and Oxford, with decades of combined experience at leading companies like Apple and Meta.
  </li>
  <li>
   <strong>
    Frontier research meets real-world impact:
   </strong>
   Our team has a proven track record of advancing AI avatars and audio-visual generation, publishing at top conferences, and shipping real-time ML products used by millions.
  </li>
  <li>
   <strong>
    Collaborate in-person:
   </strong>
   Join us at our Seattle HQ, where our team works together 5 days a week to drive innovation forward.
  </li>
 </ul>
 <p>
  <strong>
   Key Details
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Location:
   </strong>
   Seattle, Washington (In-person collaboration, 5 days/week)
  </li>
  <li>
   <strong>
    Funding:
   </strong>
   $10M seed round backed by Accel, South Park Commons, Lightspeed, and top angels from the AI industry.
  </li>
 </ul>
 <p>
  <strong>
   What We&rsquo;re Building
  </strong>
 </p>
 <p>
  We&rsquo;re creating the
  <strong>
   first human foundation model
  </strong>
  that operates across text, speech, facial expression, and body language in real time. The goal? To make AI
  <strong>
   socially and emotionally intelligent,
  </strong>
  able to interpret subtle human signals and respond in a way that feels truly human.The industry has made strides in areas like voice AI and avatar visuals, but existing solutions remain fragmented. This role offers the chance to be a
  <strong>
   trailblazer
  </strong>
  in a field where the boundaries are still being defined.
  <strong>
   How to Apply
  </strong>
 </p>
 <p>
  If this sounds like the challenge you&rsquo;ve been looking for, let&rsquo;s connect! Apply now to join a team that&rsquo;s reshaping the future of AI &mdash; one lifelike interaction at a time.
  <strong>
   Note:
  </strong>
  This posting is intentionally anonymized to respect client confidentiality. We look forward to hearing from innovative thinkers ready to make an impact.
 </p>
 <p>
  Auto
 </p>
 <p>
 </p>
</div>


AI Research Scientist - MLLM Training

The Geneva Foundation

<div>About The Position<br>
<br>
The Senior Research Scientist (Pre-clinical) serves as a scientific lead for pre-clinical research projects at the Uniformed Services University (USU) Center for Biotechnology (4DBio&sup3;), providing technical and management support and overseeing project execution. In addition, the Senior Research Scientist (Pre-clinical) will bring critical subject matter expertise to 4DBio&sup3; and assist in coordinating the efforts of a multi-disciplinary team of government and contract researchers, academic experts and consumers, all in support of the 4DBio&sup3; mission. Among other projects, the Senior Research Scientist (Pre-clinical) will play a key leadership role on 4DBio&sup3;'s blood research portfolio that includes the On-Demand Blood project which is focused on developing the scientific understanding and bioengineering solutions to manufacture and/or optimize a full range of human blood products for use in austere environments.<br>
<br>
This position is 100% onsite at the Uniformed Services University Offsite 4DBio&sup3; Laboratory in Rockville, MD. A thorough government background check will be administered. We are seeking to fill this role asap, therefore visa sponsorship may not be available.<br>
<br>
About The Program<br>
<br>
The USU 4DBio&sup3; is a Center for Biotechnology that develops and adapts promising new biotechnology to benefit Warfighter readiness and resilience. It champions a multidisciplinary approach that combines various Department of Defense (DoD) and federal and non-federal experts across traditional and emerging fields. The 4DBio&sup3; Center promotes the development and application of advanced biotechnologies and services within the DoD to enhance the readiness, health, and well-being of America&rsquo;s Warfighters, veterans, and families today. Potential for a faculty appointment at USUHS, commensurate with experience, for qualified applicants<br>
<br>
Salary Range<br>
<br>
$135,000 - $155,000. Salaries are determined based on several factors including external market data, internal equity, and the candidate&rsquo;s related knowledge, skills, and abilities for the position.<p></p><p><b>
This position is based in a university academic setting and involves working within a laboratory environment. It offers a great opportunity to engage and collaborate with fellow scientists and researchers.</b></p><p></p><p><b>
Qualifications</b></p><ul><li><b>
Ph.D. in a relevant field (e.g., biology, pathology, biochemistry, bioengineering, molecular and cell biology, or genetics) required</b></li><li><b>
3-5 years&rsquo; experience with planning and management of innovative medical and/or scientific research programs
</b></li><li><b>Minimum 8 years direct experience in hematopoiesis research such as cell culture and differentiation of stem cells and/or synthetic blood substitutes</b></li><li><b>
Experience with multi-color flow cytometry and cell sorting</b></li><li><b>
Experience with blood cell function assays</b></li><li><b>
Experience with gene editing and molecular biology techniques</b></li><li><b>
Ability to design and execute in vitro experiments</b></li><li>
Knowledge of red blood cell alternatives preferred</li><li>
Experience in blood cell storage and freezing preferred</li><li>
Experience with scale up cultures in bioreactors preferred</li><li>
Experience and success in writing and receiving federal research grants, cooperative agreements, and/or contracts</li><li>
Experience working in DoD or other Federal research environments</li><li>
Experience supervising research personnel</li><li>
Ability to exercise independent judgment in fast-paced, high-pressure environment with strict deadlines, and to manage multiple projects simultaneously</li><li>
Ability to work with senior leaders to help advise on upcoming projects and scientific initiatives</li><li>
Ability to perform analyses of research portfolios to identify critical gaps, exceptional results and/or lack of progress</li><li>
Knowledge and experience with Department of Defense (DoD) Grants and Agreements administration and management, preferred</li></ul><p></p><p><b>
Responsibilities</b></p><ul><li>
Perform recurring analyses on research portfolios to identify critical gaps, exceptional results and/or lack of progress</li><li>
Assist in the preparation of SOPs and analysis of laboratory experiments</li><li>
Prepare interim and final progress reports</li><li>
Ensure research integrity</li><li>
Disseminate research results</li><li>
Provide guidance to scientists preparing research proposals, to include guidance on research protocol development, as needed</li><li>
Maintain open communication with Principal Investigators and Center Leadership, advises of processes, reports progress, and serves as a point of contact, as applicable</li><li>
Perform scientific reviews on research proposals submitted for consideration, as requested</li><li>
Direct multifunctional teams and provides scientific domain expertise as needed</li><li>
Adhere to Occupational Safety and Health Administration (OSHA), Good Laboratory Practices (GLP) and infection control procedures, as applicable</li><li>
Maintain and update files of all applicable regulatory documentation for IACUC or IRB (including protocols, approvals, amendments, modifications, etc.) as well as any communications with the sponsor or any other Federal or regulatory office (including prior approvals, change in scope, etc.), as needed</li></ul><p></p><p><b>
Management Responsibilities</b></p><ul><li>
Ability to provide strong leadership for diverse research teams</li><li>
Ability to supervise the work of laboratory personnel in the performance of experiments, data collection, analysis and reports, as applicable</li></ul></div><p></p>

Senior Research Scientist (Pre-clinical) - 4DBio³ ODB

<div></div><div><div>Job Description:</div><div></div><div><div>
Job Description</div></div><div><div><div><div><div><div><div><div><div><div>
AI Experimental Systems Research Scientist (Causal Learning &amp; Adaptive Experimentation)</div><div></div><div>
Collaborate with Innovative 3Mers Around the World</div><div>
Choosing where to start and grow your career has a major impact on your professional and personal life, so it&rsquo;s equally important you know that the company that you choose to work at, and its leaders, will support and guide you. With a wide variety of people, global locations, technologies and products, 3M is a place where you can collaborate with other curious, creative 3Mers.</div><div></div><div>
This position provides an opportunity to transition from other private, public, government or military experience to a 3M career.</div><div></div><div>
The Impact You&rsquo;ll Make in this Role</div><div></div><div>
As an AI Experimental Systems Research Scientist in 3M&rsquo;s Corporate R&amp;D organization, you will work on a small, deeply technical team developing foundational methods for always-on learning systems that reason, experiment, and adapt in complex, non-stationary environments. This role exists because learning systems that do not actively preserve identifiability, causal validity, and epistemic calibration fail in principle&mdash;not merely in performance.</div><div></div><div>
You will collaborate closely with researchers across statistics, cognitive science, and machine learning to design systems in which experimentation, inference, and uncertainty are first-class components of the learning process itself. This is not a conventional data science or applied machine learning role. The work focuses on how learning systems must structure experiments, manage interference and delayed effects, govern their own representations, and remain epistemically correct over time.</div><div></div><div>
This role is well suited for someone who enjoys working from first principles, designing rigorous experimental machinery, and translating statistical theory into systems that operate continuously in the real world.</div><div></div><div>
Here, you will make an impact by:</div><ul><li><div>
Designing and implementing adaptive experimental systems that operate continuously under nonstationarity, interference, and delayed or indirect outcomes.</div></li><li><div>
Developing causal estimands, randomization schemes, and inference procedures whose primary goal is identifiability and validity, not just reward optimization.</div></li><li><div>
Embedding rigorous experimental control directly into learning systems, including experimentation on the system&rsquo;s own learning mechanisms, parameters, and representational choices.</div></li><li><div>
Translating principles from experimental design, causal inference, and sequential decision-making into robust, always-on system behavior.</div></li><li><div>
Working from whiteboards, research discussions, and evolving specifications&mdash;not fixed product requirements or static datasets.</div></li><li><div>
Implementing and maintaining research code that supports hierarchical experimentation, baseline control streams, and statistically valid online inference.</div></li><li><div>
Creating diagnostics, monitoring tools, and guardrails to ensure learning systems remain calibrated and do not stabilize spurious structure over time.</div></li><li><div>
Collaborating with interdisciplinary researchers to stress-test experimental learning mechanisms under realistic, adversarial conditions.</div></li></ul><div>
Your Skills and Expertise</div><div></div><div>
To set you up for success in this role from day one, 3M requires (at a minimum) the following qualifications:</div><ul><li><div>
Ph.D. in Statistics, Biostatistics, Economics, Computer Science, Data Science, Operations Research, or a closely related field (completed and verified prior to start).</div></li><li><div>
Deep grounding in experimental design and statistical inference, including randomized experiments and causal estimands.</div></li><li><div>
Demonstrated ability to implement research-grade statistical or experimental methods in a general-purpose programming language (e.g., Python).</div></li><li><div>
Experience working in research settings where the problem definition evolves and correctness takes precedence over convenience.</div></li></ul><div>
Additional qualifications that could help you succeed even further in this role include:</div><ul><li><div>
Experience with adaptive or sequential experimentation (e.g., response-adaptive trials, causal bandits, best-arm identification).</div></li><li><div>
Familiarity with causal inference frameworks spanning both design-based and model-based approaches.</div></li><li><div>
Strong intuition for identifiability, bias&ndash;variance tradeoffs, and statistical validity in complex, real-world settings.</div></li><li><div>
Experience working with nonstationary systems, concept drift, or delayed feedback loops.</div></li><li><div>
Experience reasoning about interference, carryover effects, time-varying treatments, or non-independent experimental units.</div></li><li><div>
Comfort designing experiments where the learning process itself is the object under experimental control.</div></li><li><div>
Familiarity with hierarchical or clustered experimental designs and multi-level inference.</div></li><li><div>
Interest in foundational questions about how autonomous systems should reason, experiment, and adapt in the world.</div></li><li><div>
Ability to communicate complex statistical ideas clearly to interdisciplinary collaborators.</div></li><li><div>
Curiosity, intellectual humility, and a strong preference for epistemic correctness over short-term performance gains.</div></li></ul><div></div><div>
Work location: Remote in the United States</div><div>
Travel: up to 20% domestic travel</div><div>
Relocation Assistance: May be authorized for relocation to Maplewood, MN</div><div></div><div>
Supporting Your Well-being</div><div>
3M offers many programs to help you live your best life &ndash; both physically and financially. To ensure competitive pay and benefits, 3M regularly benchmarks with other companies that are comparable in size and scope.</div><div></div><div>
Chat with Max</div><div>
For assistance with searching through our current job openings or for more information about all things 3M, visit Max, our virtual recruiting assistant on 3M.com/careers.</div></div></div></div></div></div></div></div></div></div><div></div>
Applicable to US Applicants Only:The expected compensation range for this position is $141,150 - $172,517, which includes base pay plus variable incentive pay, if eligible. This range represents a good faith estimate for this position. The specific compensation offered to a candidate may vary based on factors including, but not limited to, the candidate&rsquo;s relevant knowledge, training, skills, work location, and/or experience. In addition, this position may be eligible for a range of benefits (e.g., Medical, Dental &amp; Vision, Health Savings Accounts, Health Care &amp; Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits, etc.). Additional information is available at: https://www.3m.com/3M/en_US/careers-us/working-at-3m/benefits/.<div></div>
Good Faith Posting Date Range 03/09/2026 To 04/08/2026 Or until filled<div></div>
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Learn more about 3M&rsquo;s creative solutions to the world&rsquo;s problems at www.3M.com or on Instagram, Facebook, and LinkedIn @3M.<div></div>
Responsibilities of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties.<div></div>
Safety is a core value at 3M. All employees are expected to contribute to a strong Environmental Health and Safety (EHS) culture by following safety policies, identifying hazards, and engaging in continuous improvement.<div></div>
Pay &amp; Benefits Overview: https://www.3m.com/3M/en_US/careers-us/working-at-3m/benefits/<div></div>
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Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.</div><div></div><div>
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AI Experimental Systems Research Scientist (Causal Learning & Adaptive Experimentation)

Exponent

<div>About Exponent:
<div><b>
Exponent</b> is the only premium engineering and scientific consulting firm with the depth and breadth of expertise to solve our clients&rsquo; most profoundly unique, unprecedented, and urgent challenges.</div><div></div><div><br>
Our vision is to engage multidisciplinary teams of science, engineering, and regulatory experts to empower clients with solutions that create a safer, healthier, more sustainable world. For over five decades, we've connected the lessons of past failures with tomorrow's solutions to advise clients as they innovate technologically complex products and processes, ensure the safety and health of their users, and address the challenges of sustainability.</div><div></div><div><br>
Join our team of experts with degrees from top programs at over 500 universities and extensive experience spanning a variety of industries. At Exponent, you&rsquo;ll contribute to the diverse pool of ideas, talents, backgrounds, and experiences that drives our collaborative teamwork and breakthrough insights. Plus, we help you grow your career through mentoring, sponsorship, and a culture of learning. Thanks for your interest in joining our team!</div><div></div><div><b><br>
Key statistics:</b></div><ul><li>
950+ Consultants</li><li>
640+ Ph.D.s</li><li>
90+ Disciplines</li><li>
30+ Offices globally</li></ul>
Our Opportunity:
<div>
We are currently seeking a Ph.D. level <b>Machine Learning User Research Scientist</b> for our <b>Data Sciences</b> Practice in <b>New York, NY</b>. In this role, you will work as part of a team to plan and execute global data collection efforts, utilize and improve next-generation products, and optimize internal and external programs to support clients in the consumer electronics industry.</div>
You will be responsible for:
<ul><li>Supporting a range of consulting activities related to large-scale local and global programs to build custom datasets for machine learning algorithms including protocol development, data collection, data management, and analysis</li><li>
Providing operational support for prototype hardware and software systems including system validation and troubleshooting</li><li>
Actively solving technical and logistical problems in a fast-paced environment</li><li>
Creating and leading ad hoc interdisciplinary teams comprised of consultants from Data Sciences, Human Factors, Health Sciences, and Engineering Sciences</li><li>
Developing data analysis and visualization tools related to project management, demographics, and human-centered data</li><li>
Developing and maintaining client relationships</li></ul>
You will have the following skills and qualifications:<br>
<div></div><ul><li>
Ph.D. in Electrical Engineering, Human Factors, Applied Mathematics, Computer Science, Cognitive Science, Physics, Industrial Engineering, Mechanical Engineering, Civil Engineering, Robotics, or a related engineering/scientific field</li><li>
Ability to take an ambiguous question, use data to draw insights, and convey the results to a wide range of audiences</li><li>
Demonstrated experience and expertise in one or more of the following areas:</li><li><ul><li>
Advanced sensing technology</li><li>
Networking data analysis and visualization</li><li>
Designing and executing user research studies with human subjects, using appropriate quantitative and qualitative methods to produce strategic and actionable insights that inform design and development</li><li>
Experience in programming languages like Python, Java, and MATLAB</li><li>
Experience in instrumentation, data acquisition, and/or data processing</li><li>
Operations optimization</li><li>
Machine learning data set design or optimization</li><li>
Dynamic system modeling and control</li></ul></li><li>
Experience with human-subjects research or direct collection of large experimental data sets to support the development of machine learning or artificial intelligence algorithms</li><li>
The desire to work with a diverse set of clients and engage in work outside of the traditional data science field</li><li>
Strong practical engineering ability combined with leadership and project management skills</li><li>
Excellent verbal and written communication skills</li><li>
Ability to work independently and in multidisciplinary teams</li><li>
Ability to travel to a variety of U.S. and international locations to support project work (up to 40% travel)</li><li>
Presently legally authorized to work in the United States; no immigration sponsorship or processing required</li></ul><div></div><div><i><br>
Applicants are encouraged to submit a CV (Curriculum Vitae) with publications (feel free to include publications that are in review or pending) [not restricted to 1 page].</i></div>
Life @ Exponent:
<div>
To learn more about life at Exponent and our impact, please visit the following links:<br>
https://www.exponent.com/careers/life-exponent
<br>
https://www.exponent.com/company/our-impact</div><div></div><div><br>
Attracting, inspiring, developing, and rewarding exceptional people with diverse backgrounds and expertise are central to our corporate culture. Our diverse team allows us to provide better value to our clients and enjoy an enriched work environment.</div><div></div><div><br>
Our firm is committed to offering a variety of programs and resources to support health and well-being. We believe that providing competitive benefits as well as compensation and recognition programs empowers our staff to do work that makes a difference.</div>
Work Environment:
<div>
At Exponent, we have found that in-person interactions deepen employee engagement and are crucial for development, for realizing the full potential of our talented and diverse teams, and for building a more inclusive workplace where all have a sense of belonging. In our offices, you can expect a supportive culture and a collaborative, dynamic, multi-disciplinary work environment. Our consultants engage in-person in the office unless they are traveling for client work or other business activities.</div><div><br>
</div><div>We value the rich lives our colleagues enjoy outside of work and understand that work/life balance is critical to our employees and their well-being. Consultants have the autonomy to balance their work and personal schedules so you can meet with clients, visit inspection sites, attend conferences, and make time for priorities outside of work, too. It is this flexible, agile work style and working hours that allow our teams to drive innovation and results in their own ways, while meeting the needs of clients. #LI-Onsite</div>
Compensation:
<div>
Our consultants are rewarded for their technical and business contributions and have an opportunity to plan for future success and career growth. Exponent's total compensation plan is consistent with its expectations of the quality and quantity of work performed and with the professional standards set by Exponent. At the Associate and Senior Associate level, total compensation includes base salary, bi-weekly bonuses for high-intensity efforts, annual bonus and 401(k) employer contribution of 7% of base salary.</div><div></div><div><br>
The base salary range for this position is dependent on experience and capabilities which will be assessed during the interview process.</div>
Salary Range: USD $130,000.00 - USD $135,000.00 /Yr. Benefits you will enjoy:
<div><div>
Access benefits information on our Life@Exponent page:</div></div><div><div>
https://www.exponent.com/careers/life-exponent</div></div><div></div><div><div><br>
Exponent is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, veteran status, disability, sexual orientation, gender identity, or any other protected status.</div></div><div></div><div><div><br>
If you need assistance or accommodation due to a disability, you may email us at HR-Accommodations@exponent.com.</div></div><br>
<div></div>
Job Locations: US-NY-New York</div>

Machine Learning User Research Scientist (Ph.D. required)

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