Postdoctoral Research Associate; Hybrid - Neurology
Listed on 2026-07-01
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Research/Development
Research Scientist, Clinical Research, Data Scientist, Postdoctoral Research Fellow
Location: St. Louis
Position Summary
Postdoctoral Research Associate Position Open in the Schindler Lab (Department of Neurology) Real‑World Evidence on Alzheimer’s Disease Biomarkers and Amyloid‑Targeting Treatments from the WashU Memory Diagnostic Center
The Schindler Lab is seeking a Postdoctoral Research Associate to collect, curate, and analyze real‑world clinical data from the WashU Memory Diagnostic Center (MDC) on patients undergoing AD biomarker testing and receiving amyloid‑targeting treatments (ATTs) such as lecanemab and donanemab.
Using Epic EHR data (diagnoses, CDR/CDR‑SB, cognitive batteries, comorbidities, and longitudinal follow‑up), the postdoctoral fellow will contribute to high‑impact projects, including:
- Developing and validating algorithms that extract data from the Epic EHR via comparison with manually extracted data.
- Personalized prognostic models of time to loss of independence.
- Identification of characteristics associated with ATT initiation to optimize referral pathways.
- Real‑world ATT outcomes, benefit‑risk profiles, ARIA monitoring, and effects of co‑pathologies.
Duties & Responsibilities
- Manage your own project, which should lead to a first‑author publication.
- Develop expertise in real‑world clinical data abstraction, curation, and analysis from electronic health records and registries.
- Develop proficiency in career skills, including writing, public speaking, networking, and critical evaluation of scientific literature.
- Present scientific work inside and outside the University with excellent oral communication skills.
- Assist with grant preparation and reporting.
- Prepare and submit papers on research.
- Assist in the design of research experiments.
- Evaluate research findings and assist in the reporting of the results.
- Maintain conformity with ethical standards in research.
- Maintain compliance with good laboratory practice, including maintenance of adequate research records.
- Engage in open and timely discussions with your mentor regarding possession or distribution of materials, reagents, or records belonging to your laboratory and any proposed disclosure of findings or techniques privately or in publications.
- Demonstrate collegial conduct toward co‑trainees, staff members, and members of the research group.
- Adhere to all applicable University policies, procedures, and regulations. All data, research records, and materials generated in University laboratories remain the property of the University.
This position works in a laboratory environment with potential exposure to biological and chemical hazards. The individual must be physically able to wear protective equipment and to provide standard care to research animals.
Salary RangeBase pay is commensurate with experience.
Required Qualifications- Education:
Ph.D., M.D., or equivalent terminal or doctoral degree. - Certifications/Professional Licenses:
None required. - Work Experience:
None required. - Skills:
Not applicable. - Driver’s License:
Not required.
- Collaboration, Data Analysis, Data Interpretation, Experimentation, Laboratory Operations, Laboratory Techniques, Researching, Results Reporting, Scientific Writing.
Information on being a postdoc at WashU in St. Louis can be found at (Use the "Apply for this Job" box below)..
Benefits StatementWashington University in St. Louis is committed to providing a comprehensive and competitive benefits package to our employees. Benefits eligibility is subject to employment status, full‑time equivalent (FTE) workload, and weekly standard hours. Please visit our website at to view a summary of benefits.
EEO StatementWashington University in St. Louis is committed to the principles and practices of equal employment opportunity. It is the University’s policy to provide equal opportunity and access to persons in all job titles without regard to race, ethnicity, color, national origin, citizenship (where prohibited by federal law), age, religion, sex, sexual orientation, gender identity or expression, disability, protected veteran status, or genetic information.
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