postdoctoral researcher

Woods Hole Oceanographic Institution

<div><p><b>Job Summary
</b></p>A Postdoctoral Investigator (PDI) position is available in the Marine Chemistry &amp; Geochemistry (MC&amp;G) Department at the Woods Hole Oceanographic Institution (WHOI) in Dr. Saito Lab working on analysis of metaproteomic and dissolved metal datasets, including informatic and statistical analyses and manuscript writing.
<p></p><p><b>Job Description
</b></p><h2 class="jobSectionHeader"><b>Job Description
</b></h2><h2 class="jobSectionHeader"><b><i>A Postdoctoral Investigator (PDI) position is available in the Marine Chemistry &amp; Geochemistry (MC&amp;G) Department at the Woods Hole Oceanographic Institution (WHOI) in Dr. Saito Lab working on analysis of metaproteomic and dissolved metal datasets, including informatic and statistical analyses and manuscript writing.
</i></b></h2><h2 class="jobSectionHeader"><b>Essential Functions &amp; Duties
 </b></h2><h2 class="jobSectionHeader"><b>Analysis of metaproteomic and metal datasets from basin scale transects. The PDI will undertake analyses from spectra mapping and database construction, metadata organization, protein inference, statistical analysis and visualization using python-based open source tools. Upon completion of data analysis manuscript writing will be conducted using co-coillected environmental datasets for interpretation and prediction.
</b></h2><h2 class="jobSectionHeader"><b>Required Experience &amp; Education
</b></h2><ul><li><h2 class="jobSectionHeader"><b>PhD in Chemistry Oceanography or related field.
</b></h2></li><li><h2 class="jobSectionHeader"><b>Experience in proteomics and data analysis
</b></h2></li><li><h2 class="jobSectionHeader"><b>Excellent written and oral communication skills, with the ability to work both independently and collaboratively in an interdisciplinary research environment.
</b></h2></li></ul><h2 class="jobSectionHeader"><b>Preferred Experience &amp; Education
</b></h2><ul><li><h2 class="jobSectionHeader"><b>Experience in metaproteomics, analytical chemistry and informatics preferred
</b></h2></li><li><h2 class="jobSectionHeader"><b>Deep knowledge of biogeochemical cycling and ability to conduct interdisciplinary research
</b></h2></li></ul><p></p><p><b>Additional Job Requirements
</b></p><p>Salary Range: $68,381-$75,498
<br>
<br>
The salary range provided for this position reflects the expected minimum and maximum base pay for new hires. Actual compensation will be determined based on factors such as relevant skills, experience, and qualifications, as well as internal equity and market conditions. In addition to base salary, eligible employees also receive a comprehensive benefits package.
</p><p></p><p><b>WHOI accepts applications on a rolling basis </b>- applications will be reviewed as they are received, and we encourage you to submit your application as soon as possible to ensure full consideration. While we will continue to review applications until the position is filled, and early applicants may have an advantage in the selection process.
</p><p></p><p><b>EEO Statement
</b></p><p>Woods Hole Oceanographic Institution (WHOI) provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
</p><p></p><p>It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.</p></div><p></p>

Postdoctoral Investigator

Dana-Farber Cancer Institute

<div><div><div><div>Job Ref:</div><div>
JR-6518</div></div><br>
<div><div>Location:</div><div>
450 Brookline Ave, BOSTON, MA 02215</div><br>
</div>
<div><div>Category:</div><div>
Fellowships</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>
$72,000.00 - $76,385.00 per year</div>
</div></div><p><b>Overview</b></p>
<p></p><div><div>The Dana-Farber Cancer Institute seeks a Postdoctoral Computational Biologist in the Gillani Lab in Computational Pediatric Cancer Research (https://gillanilab.dana-farber.org/). The Postdoctoral Computational Biologist will work on the analysis of genomic, transcriptomic, and epigenomic datasets with the goal of arriving at new insights around targetable biology and clinical biomarkers to advance the care of pediatric cancer patients.<br>
<br>
The mission of the Gillani Lab is to advance pediatric, adolescent, and young adult cancer care using cutting-edge computational biology approaches. We strive to understand the germline genetics and tumor genomics of pediatric cancer to inform novel approaches to treatment. We value great science that matters to patients, caring about each other as people and colleagues, and fostering an environment of mutual respect and collaboration.<br>
<br>
The qualified candidate will design and lead projects grounded in data analysis in the domain of computational pediatric cancer research. They will develop and support data processing and analysis tools, create new algorithms for focused research questions in bulk and single cell tumor analysis, integrate tools and databases into existing high-throughput pipelines, and drive projects to completion and publication.<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><p><b><br>
PRIMARY DUTIES AND RESPONSIBILITIES:</b></p><p>
Related projects and responsibilities will include, but are not limited to:</p><ul><li><p>
Whole-genome sequencing and single-cell sequencing analysis of tumor samples</p></li><li><p>
Studies of resistance to existing and emerging cancer therapies using patient-derived data</p></li><li><p>
Studies of patient samples for tumor behavior and clinical outcomes</p></li><li><p>
Development and implementation of artificial intelligence and machine learning algorithms for biologically and clinically motivated questions in pediatric oncology</p></li></ul><p>
Projects are collaborative efforts between the Dana-Farber Cancer Institute, the Broad Institute, Boston Children&rsquo;s Hospital, the Harvard Medical School, and multiple other institutions. Projects have the potential to identify novel approaches for personalized care in oncology. In addition, this data may provide support for new methods in clinical decision-making, biomarkers for rational drug development, and new insights into tumor biology through innovative analyses. The Postdoctoral Computational Biologist hired for this position will join a collaborative team in this effort and will participate in the design and implementation of algorithms to analyze the data and integrate with other data sets including clinical outcomes data.</p><p>
This Postdoctoral Computational Biologist will also help with the generation of tools needed for manipulating and preparing data for display; transferring data to external collaborators and data repositories; and will also help maintain, support, and document shared tools, code, and data sets. As the field of clinical computational oncology evolves, this position is likely to present diverse and flexible opportunities - from deeper and more complex software design problems, to becoming more involved in the bioinformatic and analytic aspects of predictive modeling. As such, the Postdoctoral Computational Biologist should have a willingness to learn new languages and tools as the field grows, as well as have an interest in cancer biology/ medicine more broadly.</p><p><b>
MINIMUM JOB QUALIFICATIONS:</b></p><ul><li><p>
A Ph.D. in genetics, computational biology, statistics, computer science, biomedical engineering, mathematics, or other related disciplines/ comparable research experience. Candidates with an M.D. who have commensurate research experience are also encouraged to .</p></li><li><p>
Significant research experience in computational biology and its common applications (experience in R and/or Python, as well as cloud computing)</p></li><li><p>
A strong background in statistics and biology</p></li><li><p>
Experience managing and curating large datasets</p></li><li><p>
Excellent oral and written communication skills and the ability to perform both self-directed and guided research</p></li><li><p>
Outstanding personal initiative and the ability to work effectively as part of a team</p></li><li><p>
Ability to meet deadlines and efficiently multitask</p></li><li><p>
Ability to effectively collaborate across a range of individuals from various disciplines, ranging from computer science to clinical medicine</p></li><li><p>
Ability to seek out mentorship and assistance as needed, while also being a mentor to other members of the research team</p></li></ul><p><b>
SUPERVISORY RESPONSIBILITIES:</b></p><p><b>
This position will involve co-mentoring of students joining the group as described above, with opportunities for growth in developing multi-disciplinary teams that are project oriented.</b></p><p><b>
PATIENT CONTACT: </b><b>NA</b></p><p><b>
SPECIAL WORKING CONDITIONS:</b></p><p>
The Postdoctoral Researcher is requested to be in the office to facilitate integration with the collaborative team, learning, and meaningful progress on research projects.</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>
$72,000.00 - $76,385.00</div></div></div><p></p>

Postdoctoral Research Fellow - Computational Biologist - Gillani Lab

University of Texas at Austin

<div><p><b>Job Posting Title:</b></p>
Research Associate<p><b>
-</b></p><p><b>
Hiring Department:</b></p>
Department of Mathematics<p><b>
-</b></p><p><b>
Position Open To:</b></p>
All Applicants<p><b>
-</b></p><p><b>
Weekly Scheduled Hours:</b></p>
40<p><b>
-</b></p><p><b>
FLSA Status:</b></p>
Exempt from FLSA<p><b>
-</b></p><p><b>
Earliest Start Date:</b></p>
Aug 12, 2026<p><b>
-</b></p><p><b>
Position Duration:</b></p>
Expected to Continue Until Aug 31, 2027<p><b>
-</b></p><p><b>
Location:</b></p>
UT MAIN CAMPUS<p><b>
-</b></p><p><b>
Job Details:</b></p><p><b>
General Notes</b></p><p><b>
Position Duration:</b></p><p>
Expected to Continue Until Aug 31, 2027</p><p></p><p><b>
Purpose</b></p><p>
To conduct research in analysis, the calculus of variations, geometric measure theory and partial differential equations. To contribute to the mentoring of graduate students and postdocs in mathematics.</p><p></p><p><b>
Responsibilities</b></p><ul><li><p>
 Combine mathematical expertise with research skills to solve problems and to contribute to both theoretical advancement and practical applications of analysis.</p></li><li><p>
Presentation of results at scheduled meetings and at public forums.</p></li><li><p>
Use mathematical tools and software to analyze datasets, validate results, and interpret findings.</p></li><li><p>
Participating in research planning sessions, supervising and training postdocs, graduate and undergraduate students.</p></li></ul><p></p><p><b>
Required Qualifications</b></p><p>
Ph.D. in a relevant area of mathematics and demonstrated experience as reflected in scientific publications. Extensive experience with research &amp; problem solving, data analysis, collaboration, publication &amp; presentation and modeling and stimulation.</p><p><i>
Relevant education and experience may be substituted as appropriate.</i></p><p></p><p><b>
Salary Range</b></p><p>
$70,000</p><p></p><p><b>
Working Conditions</b></p><ul><li><p>
Typical office environment</p></li></ul><p></p><p><b>
Required Materials</b></p><ul><li><p>
Current curriculum vitae</p></li><li><p>
Submit a minimum of three letters of reference, at least two of which must be from references outside of The University of Texas at Austin.</p></li><li><p>
Cover letter</p></li></ul><p></p><p><b>
Important</b> <b>for applicants who are NOT current university employees or contingent workers:</b> You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded. Once your job application has been submitted, you cannot make changes.</p><p></p><p><b>
Important for Current university employees and contingent workers:</b> As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.</p><p></p><p>
-</p><p><b>
Employment Eligibility:</b></p>
Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval.<p>
-</p><p><b>
Retirement Plan Eligibility:</b></p>
The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length. This position has the option to elect the Optional Retirement Program (ORP) instead of TRS, subject to the position being 40 hours per week and at least 135 days in length.<p>
-</p><p><b>
Background Checks:</b></p><p>
A criminal history background check will be required for finalist(s) under consideration for this position.</p><p>
-</p><p><b>
Equal Opportunity Employer:</b></p><p>
The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.</p><p>
-</p><p><b>
Pay Transparency:</b></p><p>
The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor&rsquo;s legal duty to furnish information.</p><p>
-</p><p><b>
Employment Eligibility Verification:</b></p><p>
If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university.</p><p><b>
-</b></p><p><b>
E-Verify:</b></p><p>
The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university&rsquo;s company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following:</p><ul><li>
E-Verify Poster (English and Spanish) [PDF]</li><li>
Right to Work Poster (English) [PDF]</li><li>
Right to Work Poster (Spanish) [PDF]</li></ul><p><b>
-</b></p><p><b>
Compliance:</b></p><p>
Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031.</p><p></p><p>
The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.</p></div>

Research Associate

Old Dominion University

<div><p>The Post Doctoral Research Associate position conducts research under the general oversight of a faculty supervisor who serves as a mentor, supporting the research in preparation for a career position in academe, industry, government, or the nonprofit sector. Following is a list of general responsibilities associated with the Post Doctoral Research Associate position:</p>
<p>
A. Collaborate with other research and extension personnel affiliated with research activities involving computer vision, 3D imagery, machine learning, AI, and robotics. The research scientist is expected to engage in research activities and outreach activities, such as:
</p> <p>1. Publications that acknowledge the research scientist's significant and meaningful contribution to the work.
</p> <p>2. Active dissemination of information (beyond the boundaries of the campus) through informal instruction, presentations of research at regional/national meetings, publications on which the research scientist is an author, or other means stemming from the research scientist's research accomplishments.</p>
<p>
B. Participate in appropriate professional/technical societies or groups and other educational and research organizations.</p>
<p>
C. Review research or grant proposals, journal manuscripts, and publications related to the area of expertise.</p>
<p>
D. May liaise with and respond to the needs of various industry organizations, state and federal agencies, and other external groups on issues related to the project or, with the approval of the PI supervisor, other activities aligned with the research scientist&rsquo;s area of expertise.</p>
F. Participate in activities of committees within the department, college, campus and other University entities, as appropriate and with PI supervisory approval.<br>
<br>
Job Responsibilities:
<ul><li>Collaborate with other research and extension personnel affiliated with research activities involving computer vision, 3D imagery, machine learning, AI, and robotics. The research scientist is expected to engage in research activities and outreach activities. May liaise with and respond to the needs of various industry organizations, state and federal agencies, and other external groups on issues related to the project or, with the approval of the PI supervisor, other activities aligned with the research scientist&rsquo;s area of expertise.</li>
<li>Participate in appropriate professional/technical societies or groups and other educational and research organizations. Review research or grant proposals, journal manuscripts, and publications related to the area of expertise.</li>
<li>Participate in activities of committees within the department, college, campus and other University entities, as appropriate and with PI supervisory approval.</li>
</ul>
<p><b>Education and/or training:</b><b> </b>Ph.D. in Computer Science, Electrical Engineering, Computer Engineering, Electrical and Computer Engineering, Robotics, or a closely related field.</p>
<p><b>
Level and type of</b><b> </b><b>experience: </b>recent PhD. graduate and demonstrate hands-on experience with vision foundation models, spatial reasoning, and physics-informed modeling or simulators</p>
<p><b>
Specific knowledge, skills, and abilities: </b>Proficiency in MATLAB, Python, and C++;<br>
<br>
<b>To apply: </b>click <b>Job Browsing</b>; and follow the link for position #26-035. Review of applications will begin immediately and will continue until the position is filled</p>
<p>
This position is being filled through the Research Foundation, which is a separate entity from Old Dominion University (ODU). While we work in support of ODU, the Research Foundation operates independently and is a not-for-profit, tax-exempt 501(c)(3) organization.</p>
<p>
The organization is an equal opportunity and affirmative action employer (AA/EOE/M/F/Disability/VETS/Drug-Free Workplace). We are committed to providing equal employment opportunity to all individuals in accordance with applicable federal, state, and local laws. Employment decisions &mdash; including recruitment, hiring, training, compensation, and promotion &mdash; are made without regard to race, color, religion, sex, national origin, physical or mental disability, genetic information, age, protected veteran status, or any other protected characteristic. Affirmative action efforts are conducted consistent with applicable laws to promote equal opportunity in employment and advancement.</p>
<p>
As part of our commitment to pay transparency and compliance with applicable laws, the Research Foundation includes a good-faith salary range in all job postings. These ranges represent the expected hiring range for the position, not the full compensation band.</p>
<p>
Final salary offers may vary depending on factors such as experience, qualifications, skills, internal equity, and budget availability. The anticipated salary range for this position is $60,000 &ndash; $70,000 annually.</p></div>

Post Doctoral Research Associate

Baylor College of Medicine

<div><div><div><div><h2 class="jobSectionHeader"><b>Summary</b></h2></div><div><p>
The Michael E. DeBakey Department of Surgery at the Baylor College of Medicine (BCM) seeks a highly qualified individual with a PhD and postdoctoral experience in Computer Science, Data Science, Medical Informatics or Equivalent Field. The Assistant Professor &ndash; Data Scientist would serve as scientific lead with Dr. Ravi Ghanta, overseeing the Department of Surgery ATLAS AI program to develop innovative AI applications in surgery and healthcare. The work spans AI applications in healthcare including machine vision, robotics, image analysis, natural language processing, and predictive modeling.</p><p></p><p><br>
Under this role, the Assistant Professor will work with a team of post-doctoral computer scientists and engineers on NIH-funded research projects. The Assistant Professor is expected to oversee data engineering of electronic health data for machine learning applications, interoperability with electronic health record (EHR) systems, and evaluation of algorithm predictive performance. The Assistant Professor will interact directly with postdoctoral fellows, graduate students, and medical students.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Job Duties</b></h2></div><div><ul><li>
Oversee and coordinate logistics and execution of various research projects.</li><li>
Manage project progress and execution of project goals and milestones.</li><li>
Plan and direct research experiments.</li><li>
Organize, evaluate, and analyze data with other researchers.</li><li>
Develop research techniques and perform applications required for specific research projects.</li><li>
Conduct literature searches and summarize information in an appropriate format for a particular study.</li><li>
Document results of experiments and reports to principal investigators.</li><li>
Supervise, schedule and coordinate the activities of the research team involved in multiple research projects.</li><li>
Write progress reports, manuscripts and grant proposals.</li><li>
Lead clinical studies and participate in research involving human subjects. Interact directly with clinicians, surgeons, and pathologists to fulfill the aims of the research projects.</li><li>
Supervise research staff including graduate and undergraduate students.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Minimum Qualifications</b></h2></div><div><ul><li>
Ph.D. in computer science, data science, medical informatics, or related field.</li><li>
Successful track record of collaboration with clinical investigators and in interdisciplinary teams; accomplished academic record sufficient to fulfill criteria for an assistant professor level faculty appointment at Baylor College of Medicine.</li></ul></div></div></div><p></p><p><br>
Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.</p></div><p></p>

Assistant Professor - Artificial Intelligence and Data Scientist

Shariq Enterprises Proprietor

<p><b>Abou US:</b><br/><b>Shariq Enterprises</b> is a digital solutions company helping brands grow through E commerce, Marketing, Web Development and AI Automation. We build smart, scalable systems that boost business efficiency and results<b>.</b></p><p><b>Job description:</b><br/><b>Shariq Enterprises</b> is seeking askilled and analytical Amazon Product Researcher to discover high potential products for Online Arbitrage (OA), and Wholesale FBA models.</p><p><b>Key Responsibilities:</b></p><ul><li>Conduct detailed product research across Amazon/ walmart marketplaces.</li><li>Identify profitable products for OA and Wholesale models.</li><li>Analyze product trends, competition, sales rank and pricing history.</li><li>Evaluate profit margins, ROI, and sourcing options.</li><li>Prepare detailed product sheets and reports.</li><li>Coordinate with sourcing, listing, and operations teams.</li></ul><p><b>Requirements:</b></p><ul><li>Minimum 6 Month of experience in Amazon product research.</li><li>Strong understanding of Amazon business models (OA, FBA, Wholesale).</li><li>Proficient in research tools.</li></ul><p><b>Details</b></p><ul><li>Basic Salary + Allowance.</li><li>Career growth opportunities within a growing e-commerce team.</li><li>Location: DHA Phase 5</li></ul><p>Write &quot;Product Researcher&quot; in your email subject line.</p><p>Drop your resume at: careers@shariqenterprises.com</p><p>Pay: Rs30,000.00 - Rs50,000.00 per month</p><p>Work Location: In person</p>

Amazon Product Researcher

Rutgers University

<div><div><h2 class="jobSectionHeader"><b>Position Details</b></h2>
<div><div><div>Position Information
</div><p></p><div><div><div><div><b>Recruitment/Posting Title</b></div> <div>Postdoctoral Associate - Pharmacoepidemiology/Health Informatics</div>
</div><br>
<div><div><b>Department</b></div> <div>Institute for Health, Health C</div>
</div><br>
<div><div><b>Salary Details</b></div> <div>A minimum of $67,000 is budgeted for this position.</div>
</div><br>
<div><div><b>Offer Information</b></div>
<div><div>The final salary offer may be determined by several factors, including, but not limited to, the candidate&rsquo;s qualifications, experience, and expertise, and availability of department or grant funds to support the position. We also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university&rsquo;s broader compensation structure. We are committed to offering competitive and flexible compensation packages to attract and retain top talent.</div>
</div></div><br>
<div><div><b>Benefits</b></div>
<div><div>Rutgers provides a comprehensive benefits package to eligible employees. The specific benefits vary based on the position and may include:</div>
<ul><li>Medical, prescription drug, and dental coverage</li>
<li>Paid vacation, holidays, and various leave programs</li>
<li>Competitive retirement benefits, including defined contribution plans and voluntary tax-deferred savings options</li>
<li>Employee and dependent educational benefits (when applicable)</li>
<li>Life insurance coverage</li>
<li>Employee discount programs</li>
</ul></div></div><br>
<div><div><b>Posting Summary</b></div>
<div><div>Postdoctoral Research Associate- The Postdoctoral Research Associate will join a multidisciplinary research team focused on cognitive aging and health and Alzheimer&rsquo;s disease and related dementias. Reporting to the Principal Investigator on grant-funded projects, the individual will play a key role in supporting laboratory operations and advancing ongoing research initiatives.<br>
<br>
<br>
</div><div>Primary responsibilities include:</div>
<ul><li>Designing and executing observational cohort studies examining drug-drug interactions and dementia risk using large-scale EHR and administrative claims data.</li>
<li>Leading statistical analysis (methods may include IPTW-weighted Cox regression, active comparator new-user designs, self-controlled case series, propensity scoring).</li>
<li>Developing and extending an AI-based drug safety signal prioritization platform.</li>
<li>Supporting grant preparation and contributing to grant aims.</li>
<li>Collaborating with mentors in pharmacoepidemiology methods and adjacent clinical research domains.</li><br>
</ul><p></p><br>
<div>The candidate must demonstrate a strong record of accomplishment in a relevant area of research, as evidenced by peer-reviewed publications. Expertise in pharmacoepidemiology methods and specific dementia/drug safety and interactions is highly desirable. In addition to experimental work, the Postdoctoral Research Associate will contribute to mentoring and training staff and students, assist in experimental design and planning, and help introduce and develop new technical approaches within the group. The individual will collaborate with other research teams involved in NIH-funded projects, and participate in group meetings
</div></div></div><br>
<div><div><b>Position Status</b></div> <div>Full Time</div>
</div><br>
<div><div><b>Posting Number</b></div> <div>26FA0692</div>
</div><br>
<div><div><b>Posting Open Date</b></div>
</div><br>
<div></div><div><div><b>Posting Close Date</b></div> <div>11/30/2026</div>
</div><br>
</div></div></div><div><div>Qualifications
</div><p></p><div><div><div><div><b>Minimum Education and Experience</b></div>
<div><ul><li>PhD degree in Health Informatics, Biomedical Informatics, Information Science, Health Sciences, or a related field</li>
<li>Prior experience with applied pharmacoepidemiology and healthcare analytics experience (Medicaid, Medicare, commercial, and EHR populations).</li>
<li>Proficiency in R, Python, and SQL.</li><br>
</ul></div></div><p></p><br>
<br>
<div><div><b>Certifications/Licenses</b></div>
</div><br>
<div></div><div><div><b>Required Knowledge, Skills, and Abilities</b></div>
<div><ul><li>Leadership role on funded grant(s).</li><br>
</ul></div></div><p></p><br>
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<div><div><b>Preferred Qualifications</b></div>
<div><ul><li>Experience with EHR data such<i> </i>as<i> </i>CRDW, Medicare FFS, NIH All of Us.</li>
<li>Patent development experience.</li>
<li>Industry experience in real-world evidence and pharmacoeconomic research, clinical program evaluation, and/or Medicaid outcomes research.</li>
<li>Publications related to cognitive safety, pharmacovigilance, and clinical risk prediction.</li>
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<div><div><b>Equipment Utilized</b></div>
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<div></div><div><div><b>Physical Demands and Work Environment</b></div>
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<div></div><div><div><b>Overview</b></div>
<div><div>About the Herbert and Jacqueline Krieger Klein Alzheimer&rsquo;s Center:
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Founded in 2023, the Herbert and Jacqueline Krieger Klein Alzheimer&rsquo;s Center: is fully dedicated to accelerating the discovery of new treatments for Alzheimer&rsquo;s and related dementias. This center marks a significant milestone&mdash;it is the very first of its kind in our state&rsquo;s history. In New Jersey, around 200,000 individuals suffer from Alzheimer&rsquo;s disease, and a larger number of older adults are at high risk for developing the disease. Our mission is clear: to lead the way in finding solutions to prevent and treat this devastating disease. With a focus on translating groundbreaking research into real-world impact, our team is committed to improving the lives of individuals, families, and communities affected by Alzheimer&rsquo;s. Through collaboration and innovation, we aim to deliver meaningful outcomes for those at risk and currently battling the disease.
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Rutgers, The State University of New Jersey, is a leading national research university. Its partners form one of the nation&rsquo;s largest academic health care systems, and the largest in New Jersey. The Herbert and Jacqueline Krieger Klein Alzheimer&rsquo;s Center is a Brain Health Institute (BHI) center. By reporting to Rutgers New Brunswick and Rutgers Health, and being administered by Rutgers Health, BHI serves as a unifying entity that fosters collaboration and integration, driving forward advancements in neuroscience research and education. The Herbert and Jacqueline Krieger Klein Alzheimer&rsquo;s Center is located at in the center of New Brunswick, about an hour away from New York City, at the Institute for Health, Health Care Policy, and Aging Research building.
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<div><div><b>Statement</b></div>
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</div></div></div><div></div><div><div>Posting Details
</div><p></p><div><div><div><div><b>Special Instructions to Applicants</b></div>
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<div></div><div><div><b>Quick Link to Posting</b></div> <div>https://jobs.rutgers.edu/postings/279052</div>
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<div><div><b>Campus</b></div> <div>Rutgers University-New Brunswick</div>
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<div><div><b>Home Location Campus</b></div> <div>Rutgers University - New Brunswick</div>
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<div><div><b>City</b></div> <div>New Brunswick</div>
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<div><div><b>State</b></div> <div>NJ</div>
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<div><div><b>Location Details</b></div>
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</div></div></div><div></div><div><div>Pre-employment Screenings
<p></p><div>All offers of employment are contingent upon successful completion of all pre-employment screenings.</div>
</div></div><p></p><div><div>Immunization Requirements
<p>Under Policy 100.3.1 Immunization Policy for Covered Individuals, if employment will commence during Flu Season, Rutgers University may require certain prospective employees to provide proof that they are vaccinated against Seasonal Influenza for the current Flu Season, unless the University has granted the individual a medical or religious exemption. Additional infection control and safety policies may apply. Prospective employees should speak with their hiring manager to determine which policies apply to the role or position for which they are applying. Failure to provide proof of vaccination for any required vaccines or obtain a medical or religious exemption from the University will result in rescission of a candidate&rsquo;s offer of employment or disciplinary action up to and including termination.</p>
</div></div><div></div><div><div>Equal Employment Opportunity Statement
<p></p><div>It is university policy to provide equal employment opportunity to all its employees and applicants for employment regardless of their race, creed, color, national origin, age, ancestry, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information (including the refusal to submit to genetic testing), or any other category protected by law. As an institution, we encourage all qualified applicants to apply. For additional information please see the Non-Discrimination Statement at the following web address: http://uhr.rutgers.edu/non-discrimination-statement
</div></div></div></div></div><p></p><h2 class="jobSectionHeader"><b>Posting Specific Questions</b></h2>
<div><p>Required fields are indicated with an asterisk (*).</p>
</div><p></p><h2 class="jobSectionHeader"><b>Applicant Documents</b></h2>
<div><b>Required Documents</b>
<div><ul><li>Resume/CV</li></ul>
</div><b>Optional Documents</b>
<div><ul><li>Cover Letter/Letter of Application</li></ul></div></div></div>

Postdoctoral Associate - Pharmacoepidemiology/Health Informatics

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