Postdoctoral Fellow

Kessler Foundation; New York (NY); On-site; USD 75,000 - 85,000; Full time

Job summary

NYU Langone Health in New York invites applications for a Postdoctoral Fellow to contribute to an NIH-funded multimodal research program on women’s brain health. The project investigates how menopause affects cognitive aging and Alzheimer's risk, using longitudinal neuroimaging, plasma proteomics, and clinical assessments across cohorts.

Candidates hold a PhD in a relevant field and have strong skills in neuroimaging analysis, omics data analysis, computational modeling, or multimodal data

Qualifications

• Hold a PhD in biomedical imaging, neuroscience, bioinformatics, data science or related field.
• Demonstrate strong background in at least one: neuroimaging, -omics data analysis, computational modeling or integration.
• Proven scientific productivity with publications and independent work.

Responsibilities

• Develop and apply computational and statistical methods for multimodal biomedical data.
• Interpret findings in collaboration with clinicians, epidemiologists and data scientists.
• Contribute to study design, analytic strategy and biomarker discovery across cohorts.
• Lead and co-author manuscripts and present at conferences.

Skills

Neuroimaging analysis

Omics data analysis

Computational modeling

Multimodal data integration

Education

PhD in biomedical imaging / neuroscience / bioinformatics

Job description

As a Postdoctoral Fellow, you will contribute to an NIH-funded research program on women’s brain health at the NYU Grossman School of Medicine (RF1AG098531). This multidisciplinary project, led by Drs Erika Raven and Jelle Veraart, seeks to improve women’s brain health by identifying why the menopause transition may increase risk for cognitive decline and Alzheimer’s disease. Using longitudinal neuroimaging, plasma proteomics, and detailed clinical assessments across multiple cohorts, the study examines how hormonal changes and menopausal hormone therapy influence brain aging and cognitive outcomes. The goal is to identify sex‑specific biomarkers and risk profiles that support earlier detection, more precise prevention, and clinically meaningful strategies to protect women’s health across midlife and aging.

Job Responsibilities

The successful candidate will:

• Develop and apply computational and statistical methods for analyzing multimodal biomedical data, including clinical, survey, multi‑omics, and neuroimaging data
• Interpret and evaluate findings in close collaboration with clinicians, epidemiologists, and data scientists
• Contribute to study design, analytic strategy, and biomarker discovery efforts across multiple cohorts
• Lead and co‑author manuscripts arising from the research and present findings at national and international scientific conferences

Environment

Join a vibrant community of graduate students, postdoctoral fellows, engineers, basic scientists, and clinicians at one of the most dynamic academic medical centers in the world
Engage in interdisciplinary collaborations with leading physicians and scientists across Radiology, Population Health, Endocrinology, and Gynecology at NYU Langone Health, an institution widely recognized for excellence in research, innovation, and patient care

Pay and Benefits

NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the full‑time role is $75,000 – 85,000 annually. Actual salaries depend on a variety of factors, including experience, specialty, and education. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

Salaries shown on independent jobs related websites reflect market averages and do not represent information obtained directly from NYU Langone. We invite and encourage each candidate to discuss salary/hourly specifics during the application and hiring process.

For more information and full job posting: https://cbiweb.net/job/postdoctoral-fellow-in-multimodal-womens-brain-health-research/index.html

We seek candidates who:

• Hold a PhD degree, or expect to complete all degree requirements before the start date, in biomedical imaging, neuroscience, bioinformatics, data science, or a related field and demonstrate a strong commitment to advancing women’s health research
• Demonstrate a strong background in at least one of the following: neuroimaging analysis, -omics data analysis, computational modeling, or multimodal data integration
• Show evidence of scientific productivity and independence through publications and other scholarly output
• Are curious and collaborative, with excellent written and verbal communication skills
• Can provide two letters of reference