Postdoctoral Fellow-Brain and Cognitive Health TechnologyAlbert Einstein College of Medicine

Postdoctoral Fellow-Brain and Cognitive Health Technology

US-NY-Bronx

Job ID: 2025-17644
Employee Classification: Postdoctoral Fellows
Department: Neurology
Position Type: Regular Full-Time
Albert Einstein College of Medicine

About Us

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.

POSITION RESPONSIBILITIES

Key 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

QUALIFICATIONS

Qualifications:

· 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.

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

· Strong interpersonal, organizational, and written communication skills.

Application Instructions

 

To apply, please email:

- Your CV

- A brief cover letter summarizing your research experience and interests

- Contact information for two references to brainhealth@einsteinmed.edu

Minimum Salary Range:
USD $65,000.00/Yr.

Maximum Salary Range:
USD $70,000.00/Yr.



Equal employment opportunity, including veterans and individuals with disabilities.

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