Postdoctoral Fellow-Brain and Cognitive Health Technology

Albert Einstein College of Medicine • Bronx, NY

22d • $65,000 - $70,000

About The Position

Postdoctoral researcher positions are available immediately in the department of Neurology at Albert Einstein College of Medicine in NY. These positions will support scientific aims of the inaugural Division of Brain and Cognitive Health Technology, which conducts cutting-edge research on the development, validation, and dissemination of technologies and methodologies for cognitive monitoring, neuropsychological assessment, and risk prediction in neuropsychiatric and neurodegenerative disorders. The Division’s scientific portfolio spans methods development for cognitive ecological momentary assessment, multi-modal data integration, and large-scale clinical and community-based research. Postdoctoral researchers will conduct data analysis, prepare and submit first-author manuscripts for peer-reviewed publication, and contribute to collaborative projects led by large, multi-author research teams. The position offers opportunities to develop independent research skills, refine methodological expertise, and build a strong record of scientific publication, towards an independent research career. Postdoctoral researchers will work closely and under the mentorship of Division Director Laura Germine, who is the creator of the TestMyBrain digital research platform and PI of the newly funded Open Measurement Network Initiative for AD/ADRD (OMNI ADRD; NIA U24) and Trajectories of Risk and Cognitive Change in Mental Health (TRACC-MH; NIMH U01) projects. This is a unique opportunity to help shape a new research division at a major academic medical center, while contributing to large, impactful NIH-funded initiatives focused on innovation and equity in cognitive health.

Requirements

• PhD and/or MD (or equivalent) in psychology, neuroscience, epidemiology, or a related discipline
• Prior experience in cognitive or neuropsychological assessment, longitudinal study design, and/or times series data analysis.
• Strong track record of first-author publications in relevant areas.
• Familiarity with digital technology for assessment, aging, neurodegenerative disease, and/or neuropsychiatric populations.
• Strong interpersonal, organizational, and written communication skills.

Nice To Haves

• Experience with computational and statistical approaches for time series or longitudinal data preferred.

Responsibilities

• Support the design and execution of research studies in alignment with Division research priorities
• Analyze data collected as part of NIA and/or NIMH-funded research projects, including application of mixed effect multi-level modeling approaches to cognitive time series data
• Collaborate with Division investigators on grant proposals for extramural funding
• Present at national and international scientific meetings to help disseminate research findings
• Lead preparation and publication of high-impact, first-author empirical research articles and other scholarly outputs.
• Collaborate with other scientists in the Division, Department of Neurology, and NIH-funded project teams to advance scientific aims
• Develop new pilot initiatives in support of Division scientific goals
• Collaborate with staff implementing advanced data pipelines, including applications of machine learning and AI for clinical prediction and identification of novel measures of dynamic phenotypes.
• Support mentorship and training of new staff and more junior Division members

What This Job Offers

• Job Type: Full-time
• Education Level: Ph.D. or professional degree