Postdoctoral Fellow-MSH-13400-371

Mount Sinai; New York (NY); On-site; USD 72,500 - 80,000; Full time

Job summary

Mount Sinai Medical Center in New York is seeking a researcher in the Psychiatry department to analyze the neurobiological impacts of surgically induced menopause. The role involves working with neuroimaging data, statistical analysis, and collaboration with a multidisciplinary team.

Candidates should have relevant doctoral degrees and experience with human neuroimaging. The annual salary ranges from $72,500 to $80,000, depending on various factors, including experience and education.

Qualifications

• PhD, MD/PhD or equivalent in neuroscience, biomedical engineering or related fields.
• Strong background in human neuroimaging.
• Demonstrated independent quantitative analysis capabilities.

Responsibilities

• Develop reproducible workflows for neuroimaging data analysis.
• Conduct quality control of imaging data.
• Integrate neuroimaging measures with other data types.

Skills

Neuroimaging

Statistical programming in R, Python, MATLAB

Independent quantitative analysis

Strong communication skills

Organizational skills

Education

PhD, MD/PhD, or equivalent doctoral degree in a relevant field

Tools

MRI processing software

Statistical analysis software (R, Python, MATLAB)

Job description

Description

Department: Psychiatry

Physical work location: 1255 Fifth Avenue, Suite C1, New York, NY 10029

Name PI or Supervisor: Dr. Natalie Rasgon

Web link to Department: https://icahn.mssm.edu/about/departments-offices/psychiatry

Administrative Contact: Abigail Polanco

Responsibilities

This project examines the neurobiological and cognitive consequences of surgically induced menopause. Surgically induced menopause provides a clinically important model of abrupt ovarian hormone deprivation and offers a unique opportunity to study how rapid changes in reproductive endocrine status affect brain structure, function, metabolism, cognition, mood, and risk‑related biomarkers. The project will use multimodal neuroimaging together with cognitive, clinical, hormonal, and biological measures to characterize brain and behavioral changes following surgical menopause. The broader aim is to identify neural and multidomain biomarkers that may clarify mechanisms of risk and resilience and inform future strategies for early identification, prevention, and intervention in women’s brain health.

• Develop and implement reproducible workflows for neuroimaging data preprocessing, quality control, analysis, and documentation.
• Process and analyze structural MRI and other available neuroimaging modalities.
• Generate imaging‑derived measures relevant to brain structure, function, ageing, neurodegeneration, and hormone‑related brain changes.
• Conduct rigorous quality control of imaging data, including visual inspection, automated QC metrics, motion assessment, and artefact detection.
• Integrate neuroimaging measures with cognitive, clinical, hormonal, demographic, treatment‑related, and biomarker data.
• Apply appropriate statistical models for longitudinal and cross‑sectional analyses.
• Support data harmonisation, data dictionaries, code documentation, version control, and reproducible research practices.
• Prepare figures, tables, analytic summaries, abstracts, manuscripts, and grant‑related materials.
• Work closely with investigators, coordinators, imaging personnel, statisticians, and collaborators to ensure timely completion of project milestones.
• Support IRB‑compliant data handling.
• Contribute to meetings, presentations, manuscript preparation, and dissemination of research findings.

Qualifications

Educational and other Requirements for the position:

• PhD, MD/PhD, or equivalent doctoral degree in neuroscience, biomedical engineering, computer science, biostatistics, epidemiology, neuroimaging, biomedical data science, or a closely related field.
• Strong background in human neuroimaging is required.
• Demonstrated ability to conduct independent quantitative analyses.
• Experience with statistical programming in R, Python, MATLAB, or equivalent.
• Excellent written and verbal communication skills.
• Ability to work both independently and collaboratively within a multidisciplinary research team.
• Strong organisational skills and attention to detail.
• Commitment to rigorous, ethical, and reproducible research.

Experience Required:

Essential Experience

• Experience with human neuroimaging data analysis.
• Experience with MRI preprocessing, quality control, and imaging‑derived measures.
• Experience with statistical analysis of biomedical, cognitive, clinical, or behavioural data.
• Proficiency in at least one major programming or statistical environment, such as Python, R, MATLAB, or similar.
• Experience preparing scientific manuscripts, abstracts, reports, or presentations.

Preferred Experience

• Experience with longitudinal data analysis.
• Experience with women’s brain health, reproductive psychiatry, menopause, neuroendocrinology, ageing, Alzheimer’s disease risk, or related areas.

Equal Opportunity Employer

The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.

Compensation

The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $72,500 – $80,000 annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses, incentive, differential pay or other forms of compensation or benefits.