machine learning researcher

Cubitrek Private Limited

<p><b>Job Title:</b> AI Researcher<br/><b>Experience Required:</b> 2+ Years<br/><b>Location:</b> Onsite</p><p><b>Job Overview</b></p><p>We are looking for a motivated and detail-oriented <b>AI Researcher</b> to join our team. The ideal candidate should have a strong background in <b>Artificial Intelligence research</b>, excellent <b>presentation skills</b>, and strong <b>verbal and written communication abilities</b>. The candidate will be responsible for researching emerging AI technologies, analyzing AI tools and systems, and presenting findings to internal teams.</p><p><b>Key Responsibilities</b></p><ul><li>Conduct research on <b>Artificial Intelligence technologies, tools, and emerging trends</b>.</li><li>Analyze and evaluate <b>AI systems, models, and platforms</b> for potential business applications.</li><li>Prepare <b>research reports, documentation, and presentations</b> based on findings.</li><li>Present research insights and recommendations to internal teams and management.</li><li>Stay updated with the <b>latest developments in AI, machine learning, and automation tools</b>.</li><li>Collaborate with technical teams to support <b>AI-driven projects and initiatives</b>.</li><li>Test and evaluate <b>AI tools and platforms</b> to identify opportunities for improvement and innovation.</li></ul><p><b>Requirements</b></p><ul><li><b>Bachelor&rsquo;s degree</b> in Computer Science, Artificial Intelligence, Data Science, or a related field.</li><li><b>Minimum 2 years of experience</b> in AI research or a related field.</li><li>Strong knowledge of <b>AI tools, systems, and technologies</b>.</li><li>Excellent <b>presentation and analytical skills</b>.</li><li>Strong <b>verbal and written communication skills</b>.</li><li>Ability to <b>document research findings and present them clearly</b>.</li><li>Familiarity with <b>machine learning concepts, AI platforms, and automation tools</b>.</li></ul><p><b>Preferred Skills</b></p><ul><li>Experience with <b>AI research methodologies and documentation</b>.</li><li>Knowledge of <b>popular AI tools and frameworks</b>.</li><li>Ability to <b>analyze trends and translate research into practical insights</b>.</li></ul><p>Apply on this link:</p><p>https://jobs.cubitrek.com/public/apply</p><p>Job Type: Full-time</p><p>Application Question(s):</p><ul><li>How soon can you join us?</li><li>Expected Salary?</li><li>Current Salary?</li></ul><p>Work Location: In person</p>

AI Researcher

Stealth AI Startup

<div>
 <p>
  About the Role
 </p>
 <p>
  We are seeking an exceptional Lead Researcher to lead and scale a world-class AI research organization focused on advancing the state of the art in machine learning, large language models, and applied AI systems. This role is both
  <strong>
   strategic and hands-on
  </strong>
  , responsible for defining long-term research vision while actively contributing to breakthrough innovations that directly impact product and business outcomes.
 </p>
 <p>
  As Head of Research, you will build, mentor, and manage a high-caliber team of researchers and research engineers, partner closely with executive leadership, and translate cutting-edge research into scalable, real-world systems.
 </p>
 <p>
  Key Responsibilities
 </p>
 <ul>
  <li>
   Define and own the
   <strong>
    research vision and roadmap
   </strong>
   , aligned with company strategy and long-term goals
  </li>
  <li>
   Lead and grow a team of
   <strong>
    AI Researchers, Applied Scientists, and Research Engineers
   </strong>
  </li>
  <li>
   Drive innovation across areas such as:
  </li>
  <li>
   Large Language Models (LLMs)
  </li>
  <li>
   Reasoning and planning systems
  </li>
  <li>
   Representation learning
  </li>
  <li>
   Robustness, safety, and evaluation
  </li>
  <li>
   Multimodal and agent-based systems
  </li>
  <li>
   Balance
   <strong>
    long-horizon exploratory research
   </strong>
   with
   <strong>
    near-term applied research
   </strong>
   that powers products
  </li>
  <li>
   Ensure research excellence through strong scientific rigor, reproducibility, and evaluation standards
  </li>
  <li>
   Collaborate with Product, Engineering, and Leadership to transition research into production
  </li>
  <li>
   Represent the company externally through publications, conferences, and industry engagement
  </li>
  <li>
   Establish best practices for research processes, tooling, and infrastructure
  </li>
  <li>
   Mentor senior researchers and develop future research leaders
  </li>
 </ul>
 <p>
  Required Qualifications
 </p>
 <ul>
  <li>
   PhD in Computer Science, Machine Learning, AI, or a closely related field (or equivalent research experience)
  </li>
  <li>
   0-7 years of experience in AI/ML research, with at least several years in a
   <strong>
    research role
   </strong>
  </li>
  <li>
   Proven track record of
   <strong>
    high-impact research contributions
   </strong>
   (top-tier conferences, journals, or widely adopted systems)
  </li>
  <li>
   Deep expertise in modern ML techniques, especially
   <strong>
    LLMs, deep learning, and foundation models
   </strong>
  </li>
  <li>
   Experience leading and scaling research teams in industry or advanced research labs
  </li>
  <li>
   Strong understanding of the tradeoffs between research innovation and production constraints
  </li>
  <li>
   Ability to communicate complex technical ideas clearly to both technical and non-technical stakeholders
  </li>
 </ul>
 <p>
  Preferred Qualifications
 </p>
 <ul>
  <li>
   Experience leading research at a top AI lab, FAANG company, or well-known AI startup
  </li>
  <li>
   Publications at leading venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP)
  </li>
  <li>
   Experience with model training at scale, including distributed systems and ML infrastructure
  </li>
  <li>
   Background in deploying research models into real-world products
  </li>
  <li>
   Prior experience influencing company-level technical strategy
  </li>
 </ul>
 <p>
  What We Offer
 </p>
 <ul>
  <li>
   <strong>
    Base salary up to $500,000
   </strong>
   , plus competitive equity
  </li>
  <li>
   Opportunity to shape the future direction of cutting-edge AI research
  </li>
  <li>
   Access to significant compute and research resources
  </li>
  <li>
   Collaboration with elite engineers, researchers, and product leaders
  </li>
  <li>
   A culture that values deep thinking, experimentation, and long-term impact
  </li>
 </ul>
 <p>
 </p>
</div>


AI Scientist - LLMs [32814]

OpenAI

Careers
<br><br>
Research Scientist / Research Engineer — Early Career Cohort
<br><br>
Research - San Francisco
<br><br>
About the Program
<br><br>
OpenAI is hiring a
<br><br>
small cohort of exceptional early-career researchers and engineers
<br><br>
to join OpenAI Research.
<br><br>
This opportunity is designed primarily for
<br><br>
current undergraduate students and recent graduates
<br><br>
who have demonstrated technical ability through
<br><br>
elite competitions and challenges.
<br><br>
Participants join OpenAI directly as
<br><br>
full-time Research Scientists / Research Engineers
<br><br>
and begin with an intensive
<br><br>
one-month research bootcamp
<br><br>
designed to immerse them in the core problems behind modern AI systems.
<br><br>
Many of the strongest researchers at OpenAI first distinguished themselves through
<br><br>
mathematics or programming competitions
<br><br>
, and we believe exceptional reasoning ability is one of the strongest predictors of success in frontier AI research.
<br><br>
<b>During the bootcamp participants will:</b><br>
Learn OpenAI’s research infrastructure and tools
<br><br>
Work with a mentor and get direct experience building here
<br><br>
Meet with researchers across multiple OpenAI teams and explore potential research directions
<br><br>
Work on technically demanding research challenges
<br><br>
After the bootcamp, participants enter a
<br><br>
structured team-matching process
<br><br>
before joining a permanent research team.
<br><br>
If you enjoy solving
<br><br>
very difficult problems
<br><br>
and want to work on the frontier of AI, we encourage you to apply.
<br><br>
About the Role
<br><br>
You will join OpenAI as a
<br><br>
full-time Research Scientist / Research Engineer
<br><br>
based in
<br><br>
San Francisco, CA
<br><br>
.
<br><br>
The first month consists of a structured research bootcamp where participants work closely with researchers across the organization before selecting a permanent research team.
<br><br>
This role follows a
<br><br>
hybrid, in-person collaboration schedule in San Francisco
<br><br>
. Relocation assistance may be available.
<br><br>
Who We’re Looking For
<br><br>
This role is designed for
<br><br>
early-career individuals
<br><br>
, especially current undergraduate students and recent graduates.
<br><br>
Strong candidates often demonstrate this through
<br><br>
technical competitions, research, or ambitious independent projects
<br><br>
.
<br><br>
<b>You might be:</b><br>
A top competitor in mathematics or programming competitions (e.g., Olympiads, Putnam, ICPC, or similar contests)
<br><br>
A top performer in an OpenAI-hosted Challenge or similar
<br><br>
A mathematician, physicist, or quantitative researcher interested in the foundations of intelligence
<br><br>
A builder or hacker who has created ambitious technical systems or research prototypes
<br><br>
An exceptional early-career engineer or researcher with strong technical intuition
<br><br>
If you’ve done well in competitions such as the IMO, EGMO, IOI, Putnam, ICPC, or similar contests, we strongly encourage you to apply.
<br><br>
Minimum Qualifications
<br><br>
Demonstrated exceptional mathematical or algorithmic problem-solving ability
<br><br>
Strong ability to reason about complex technical or mathematical systems
<br><br>
Comfort with linear algebra, probability, statistics, and optimization
<br><br>
Evidence of rapid independent learning and technical creativity
<br><br>
Ability to obtain and maintain authorization to work in the United States by the program start date. Candidates who cannot secure appropriate work authorization by the start date may not be eligible for this cohort.
<br><br>
Preferred Qualifications
<br><br>
<b>Candidates often demonstrate this ability through:</b><br>
High-level results in Olympiads, Putnam, ICPC, or similar competitions
<br><br>
Top or novel performance in an OpenAI-hosted Challenge or similar
<br><br>
Research in mathematics, algorithms, theoretical computer science, physics, or machine learning
<br><br>
Independent projects exploring machine learning systems, algorithms, or AI research
<br><br>
Application and Interview Process
<br><br>
Applications will be reviewed on a
<br><br>
rolling basis.
<br><br>
The cohort is expected to
<br><br>
start on June 3, 2026
<br><br>
.⁠
<br><br>
About OpenAI
<br><br>
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
<br><br>
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
<br><br>
For additional information, please see
<br><br>
OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement
<br><br>
.
<br><br>
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
<br><br>
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through
<br><br>
this form
<br><br>
. No response will be provided to inquiries unrelated to job posting compliance.
<br><br>
We are committed to providing reasonable accommodations to applicants with disabilities.
<br><br>
OpenAI Global Applicant Privacy Policy
<br><br>
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
<br><br>
Compensation
<br><br>
$295K

Research Scientist / Research Engineer — Early Career Cohort

Univeristy Of Colorado Boulder

<p></p><div><div><div><div><p>Requisition Number:</p>
<div>70549
</div></div><div><p>Location:</p>
<div><div>Boulder, Colorado</div>
</div></div><div><p>City</p>
<div>Boulder
</div></div><div><p>State</p>
<div>Colorado
</div></div><div><p>Employment Type:</p>
<div>Research Faculty
</div></div><div><p>Schedule:</p>
<div>Full-Time
</div></div><div><p>Posting Close Date:</p>
<div>02-Apr-2026
</div></div><div><p>Date Posted:</p>
<div>19-Mar-2026
</div></div></div><div>
</div><div><div><h3 class="jobSectionHeader"><b>Job Summary
</b></h3><div><div><p>Development of metrics and application benchmarks for Daffodil, a new memory device characterization platform being developed at NIST. Daffodil is a versatile test vehicle capable of accommodating all types of two-terminal memory devices for rapid characterization. In collaboration with Western Digital, we have already demonstrated its applicability spin transfer torque magneto-resistive random-access memory (STT-MRAM) technology. While the initial version of Daffodil provided a proof-of-concept demonstration, we are continuing to develop Daffodil into a plug-and-play, open-source analog memory characterization and benchmarking platform that offers a turnkey product suitable for both academic and industrial settings. The candidate will develop metrics and application benchmarks in close collaboration with the engineers working on the hardware platform and with feedback from many industrial and academic groups. The project will involve machine learning and machine learning training, physical device modeling, programming and FPGA programming. The position is based in NIST, Boulder but will also involve travel and collaboration between NIST Boulder and NIST Gaithersburg (2-4 trips per year).</p>
<p>This position is part of the National Institute of Standards and Technology (NIST) Professional Research Experience Program (PREP). NIST recognizes that its research staff may want to collaborate with researchers at academic institutions on specific projects of mutual interest and, therefore, requires those institutions to be recipients of a PREP award. The PREP program involves staff from a wide range of backgrounds conducting scientific research across various fields. Individuals in this position will perform technical work supporting the collaboration's scientific research.</p>
</div><div>
CU is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities.</div>
</div></div><div><h3 class="jobSectionHeader"><b>Who We Are
</b></h3><div><div><div>PREP is a special partnership between the National Institute of Standards and Technology (NIST) and the University of Colorado Boulder. PREP provides research opportunities to CU undergraduate and graduate students, as well as researchers with a Bachelor's, Master's, or PhD in NIST labs to gain research experience alongside NIST scientists.</div><div>
</div><div>
The particular group that needs a researcher is the Sources and Detectors Group at NIST.</div></div>
</div></div><div><h3 class="jobSectionHeader"><b>What Your Key Responsibilities Will Be
</b></h3><div><ul><li>Evaluation and synthesis of existing benchmarking tools.</li>
<li>Testing different machine learning training methods for application benchmarks.</li>
<li>Evaluation and implementation of memory device test methods.</li>
<li>Developing physical device models for emerging memory technologies (e.g. ReRAM and MRAM devices).</li>
</ul></div></div><div><h3 class="jobSectionHeader"><b>What You Should Know
</b></h3><div><p><b>Privacy Act Statement</b></p>
<p><b>Authority:</b> 15 U.S.C. &sect; 278g-1(e)(1) and (e)(3) and 15 U.S.C. &sect; 272(b) and (c)</p>
<p><b>Purpose:</b> The National Institute of Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor&rsquo;s degree holders, graduate students, master&rsquo;s degree holders, postdocs, and faculty.
</p><p>PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate the administrative functions of the PREP Program.</p>
<p><b>Routine Uses:</b> NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates.</p>
<p><b>Disclosure:</b> Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated. By applying to a CHIPS-funded PREP opportunity, you also acknowledge that participation in the project requires signing a Non-Disclosure Agreement (NDA) prior to beginning any work.</p>
</div></div><div><h3 class="jobSectionHeader"><b>What We Can Offer
</b></h3><div><ul><li>The salary range for the full-time <b>Postdoctoral Associate</b> position is $74,000 - $108,000 annually.</li>
<li>The salary range for the full-time <b>Research Associate</b> position is $78,000 - $135,000 annually.</li>
</ul></div></div><div><h3 class="jobSectionHeader"><b>Benefits
</b></h3><div><p>At the University of Colorado Boulder, we are committed to supporting the holistic health and well-being of our employees. Our comprehensive benefits package includes medical, dental, and retirement plans; generous paid time off; tuition assistance for you and your dependents; and an ECO Pass for local transit. As one of Boulder County&rsquo;s largest employers, CU Boulder offers an inspiring academic community and access to world-class outdoor recreation. Explore additional perks and programs through the CU Advantage program.</p>
</div></div><div><h3 class="jobSectionHeader"><b>Be Statements
</b></h3><div><div>Be ambitious. Be pioneering. Be Boulder.</div>
</div></div><div><h3 class="jobSectionHeader"><b>What We Require
</b></h3><div><div><ul><li><b>Postdoctoral Associate:</b> A PhD in Physics, Electrical Engineering, Materials Science, Computer Science, Applied Mathematics, or a related field with 0 &ndash; 4 years of post-doctoral degree experience.</li><li><b>
Research Associate:</b> A PhD in Physics, Electrical Engineering, Materials Science, Computer Science, Applied Mathematics, or a related field with 5+ years of post-doctoral degree experience.</li></ul></div>
</div></div><div><h3 class="jobSectionHeader"><b>What We Would Like You to Have
</b></h3><div><div><ul><li>Familiarity with memory devices and CMOS fabrication.</li><li>
Ability to collaborate with many groups, synthesize data and present it in a compelling way.</li><li>
Familiarity with multiple scripting languages. Familiarity with Spice, Verilog and/or Cadence a plus.</li><li>
Ability to develop prototypes of tools needed to analyze data.</li><li>
Strong oral and written communication skills.</li></ul></div>
</div></div><div><h3 class="jobSectionHeader"><b>Special Instructions
</b></h3><div><div><div>To apply, please submit the following materials:</div><div><ul><li>
Resume or CV</li><li>
Cover letter addressed to the Search Committee briefly describing your qualifications, professional goals, and specific interest in this position.</li></ul></div><div>
If you are selected as the finalist, your degree will be verified by the CU Boulder Campus Human Resources department using an approved online vendor. If your degree was obtained outside of the United States, please submit a translated version as an optional attachment.</div><div>
</div><div>
During the application process you will need to enter contact information for a reference. We will request the letter of recommendation immediately following your application.</div><div>
</div><div>
Review of applications will begin immediately and remain open until <b>April 2nd, 2026.</b></div><div>
</div><div>
Note: Application materials will not be accepted via email. For consideration, applications must be submitted through CU Boulder Jobs.</div></div><div></div><div><div><br>
In compliance with the Colorado Job Application Fairness Act, in any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.<br>
</div></div>
</div></div></div></div><div><h4 class="jobSectionHeader"><b>Posting Contact Information</b></h4>
<p><b>Posting Contact Name:</b> Lisa Valencia</p>
<p><b>Posting Contact Email:</b> recruitprep@colorado.edu</p></div></div>

Postdoctoral Associate or Research Associate

Massachusetts Institute of Technology

<div><div><p><b>Posting Description</b><b><br>
</b>
</p><p><b>POSTDOCTORAL ASSOCIATE</b>, <i>McGovern Institute for Brain Research and Department of Brain and Cognitive Sciences</i>, to develop computational circuit models, analytical theory, and data analysis methods to study biological memory circuits and their applications to machine learning. Building on recent work from the Fiete Lab, the role focuses on identifying principles of biological intelligence through neural circuit modeling. The candidate will collaborate with researchers studying memory circuits through physiological experiments and large-scale brain datasets. The position offers opportunities for interdisciplinary collaboration, publications, conference presentations, and participation in lab meetings and mentorship.</p><p>
The full job description is available, here: https://docs.google.com/document/d/1C6tjLGrh45_k3EwcixMTrHMa_tB5LmWjjY1-GoE93rk/edit?tab=t.0</p>
<p></p>
</div><div><p><b>Job Requirements</b><b><br>
</b>
</p><p><i>REQUIRED</i>: A PhD in neuroscience, physics, applied mathematics, computer science, or a related field; excellent communication and teamwork skills; attention to detail; excellent interpersonal, analytical, problem-solving, organizational, documentation, communication, and time-management skills; self-motivation and ability to work independently; and ability to work as part of a tightly-knit team. <i>PREFERRED</i>: Experience with theoretical analysis, using and building machine learning models, and developing circuit models.</p></div></div><p></p>

Postdoctoral Associate, Fiete Lab

University of Pittsburgh

<div><div><p><b>Post Doctoral Associate - Hessam Babaee Laboratory</b></p></div><div>
Mechanical Engineering and Materials Science - Pennsylvania-Pittsburgh - (26001470)</div><div></div><div><div><br>
The Hessam Babaee Lab develops machine-learning algorithms for science and engineering applications. Our efforts focus on reduced-order modeling and probabilistic machine learning methods, which we deploy across domains such as materials science, aerodynamics, and bioengineering.</div><div></div><p><br>
Required Educational Background: Applicant must have a Ph.D. in mechanical engineering, computational science, applied mathematics, or a closely-related field.</p><p>
Required Skillset: For the research component of the position, the required skillset includes: Strong background in computational solid mechanics, scientific machine learning, and computational science and technical publications. In addition to conducting research, your duties may also include preparing reports, performing literature reviews, supervising graduate and undergraduate students, and assisting with other projects in the laboratory.</p><p>
 Other required skill sets include a strong interest in basic and applied research. Good verbal and written communication skills; Ability to work both independently and within a team structure delivering project components on given time schedules; Ability to multi-task.</p><p>
Responsibilities: The research-related responsibilities of this position will include: Computational/ML code method development; Code implementation; Mentoring graduate students; Writing journal publications, preparing reports that summarize the work conducted for progress reports to funding agencies; Planning, developing, and implementing technical and scientific research programs; Contributing to proposal writing and acquisition of preliminary data.</p><div></div><p><i><br>
The University of Pittsburgh is an equal opportunity employer / disability / veteran.</i></p><div><br>
</div></div><div><div><b>
Assignment Category</b></div><div><b>:</b></div> Full-time regular</div><div><div><b>
Campus</b></div><div><b>:</b></div> Pittsburgh</div><div><div><b>
Child Protection Clearances</b></div><div><b>:</b></div> Not Applicable</div><div><div><b>
Required Attachments</b></div><div><b>:</b></div> Curriculum Vitae</div></div>

Post Doctoral Associate - Hessam Babaee Laboratory

Purdue University

<div></div><div><div><div><div><div><div>Req Id: 41286
</div></div></div></div><div><div><div><div>Job Title: Post Doc Research Associate
</div></div></div></div><div><div><div><div>City: INDIANAPOLIS</div></div></div></div><div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b><br>
</b></h2></div><div><div>Dr. Serena Guo is seeking a Postdoctoral Research Associate in the Department of Pharmacy Practice at Purdue University College of Pharmacy (Indianapolis campus). This position is immediately available for a highly motivated, independent, and ambitious candidate. This position offers extensive collaborative research opportunities with the Regenstrief Institute and Indiana University. The successful candidate will work closely with faculty, scientists, clinicians, health professionals, and trainees across institutions to design, coordinate, and implement federally funded population health and outcomes research using real-world data (RWD), including electronic health records (EHRs) and administrative claims data.<br>
</div><div></div><div>This position is ideal for candidates seeking advanced training and leadership opportunities in pharmaceutical evaluations, pharmacoinformatics, and AI-enabled real-world evidence (RWE) generation.
</div></div></div><div><div><h2 class="jobSectionHeader"><b>Primary Responsibilities:
</b></h2></div><div><div>The Postdoctoral Research Associate is expected to lead and contribute to independent and collaborative research projects, including but not limited to:
</div><ul><li>Designing and implementing pharmaceutical evaluation studies using RWD and/or omics data
</li><li>Extracting, cleaning, and processing large-scale EHR, claims and/or omics data for analysis
</li><li>Developing and applying advanced data science methods, including statistical modeling and machine learning approaches
</li><li>Developing and applying novel causal inference methods, such as target trial emulation and causal AI frameworks
</li><li>Leading manuscript preparation and contributing to grant proposals and scientific dissemination
</li><li>Collaborating with multidisciplinary stakeholders, including clinicians, data scientists, and translational researchers
</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>Education:
</b></h2></div><div><div>Ph.D. in a related field (e.g., epidemiology, biostatistics, health economics and policy, pharmacogenomics, biomedical informatics, biomedical engineering, computer science, or a related discipline)
</div></div></div><div><div><h2 class="jobSectionHeader"><b>Core Qualifications:
</b></h2></div><div><ul><li>Demonstrated research experience in one or more of the following areas: pharmacoepidemiology; pharmaceutical outcomes research; health economics and policy; microsimulation modeling; pharmacogenomics; health informatics; data science, machine learning, or deep learning; causal inference methods
</li><li>Strong written and oral communication skills, with at least one first-author publication in a peer-reviewed journal or conference proceeding
</li><li>Proficiency in programming languages such as Python, R, and/or SAS
</li><li>Experience working with EHR, administrative claims and/or omics data is highly desirable
</li><li>Ability to work effectively with diverse multidisciplinary teams, including clinicians, basic scientists, and translational researchers
</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>Application Materials:
</b></h2></div><div><p>Interested applicants should submit a current curriculum vitae and a cover letter outlining their interest in the position and qualifications.
</p></div></div><div><div><h2 class="jobSectionHeader"><b>FLSA Status
</b></h2></div><div>Exempt
</div></div></div></div></div></div></div><div><div>
</div></div><div><div><div><div>Posting Start Date: 3/19/26</div></div></div></div></div></div>

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