Postdoctoral Fellow-Brain and Cognitive Health Technology
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Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
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 Divisions 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
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Key Skills
- Virology
- Bioinformatics
- Genetics
- R
- Biochemistry
- Cell Biology
- Research Experience
- Spectroscopy
- Cell Culture
- Molecular Biology
- Microscopy
- Research Laboratory Experience
