Senior (Data) Research Scientist

NYU Langone Health; New York (NY); On-site; USD 85,000 - 100,000; Full time

Benefits offered by this job

Comprehensive benefits and wellness package

Job summary

NYU Langone Health is seeking a Senior Research Scientist for its Mostafavi Lab in New York. The successful candidate will lead projects in statistical genetics and complex trait genomics while mentoring trainees. Candidates should have a PhD and extensive experience in statistical genetics, along with programming skills in Python or R.

The role offers a competitive salary ranging from $85,000 to $100,000 annually and comes with a comprehensive benefits package.

Qualifications

• PhD and at least 3 years of experience in a relevant field.
• Strong publication record in complex trait or statistical genetics.
• Experience with high-performance computing and large-scale datasets.

Responsibilities

• Lead independent research projects in statistical genetics.
• Develop and implement statistical methods.
• Analyze large-scale genetic datasets.
• Mentor postdoctoral fellows and graduate students.
• Contribute to grant proposals and scientific writing.

Skills

Statistical genetics

Computational biology

Python

R

Grant writing

Education

PhD in statistical genetics, human genetics, or related field

Tools

High-performance computing

Job description

NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values.

The Mostafavi Lab at the Center for Human Genetics and Genomics at NYU School of Medicine is seeking an experienced Senior Research Scientist to provide scientific leadership in statistical and computational genetics research. Our research program focuses on understanding the genetic basis of complex traits and diseases and developing improved methods for disease risk prediction. We work at the intersection of statistical genetics, population genetics, and computational biology, developing and applying novel analytical frameworks to large‑scale genetic datasets to translate genetic discoveries into biological insights and clinical applications. We are looking for an experienced scientist with extensive expertise in statistical genetics and human genetics to serve as a senior member of the research team. This individual will work closely with Dr. Mostafavi to advance the lab's research agenda while providing scientific leadership and mentorship to trainees.

To apply, please email Dr. Hakhamanesh Mostafavi at [e-mail] with a curriculum vitae, a statement (max. 2 pages) describing (i) your research experience and expertise and (ii) your interest in this position and fit with the lab's research program, and contact information for three professional references.

Job Responsibilities

• Lead and execute independent research projects in statistical genetics and complex trait genomics
• Develop and implement novel computational and statistical methods
• Analyze large‑scale genetic and genomic datasets
• Mentor postdoctoral fellows, graduate students, and research associates
• Contribute to grant proposal preparation and scientific writing
• Collaborate with internal and external research groups
• Supervise day‑to‑day research activities and provide technical guidance to team members

Minimum Qualifications

• PhD and at least 3 years of experience or an equivalent combination of education and experience.

Preferred Qualifications

• PhD in statistical genetics, human genetics, computational biology, statistics, or a related quantitative field with a strong publication record in complex trait or statistical genetics
• Demonstrated expertise in developing and applying statistical methods for genetic data analysis
• Advanced programming skills in Python or R and experience with high‑performance computing and large‑scale genetic datasets
• Postdoctoral research experience, including grant writing
• Additional expertise in statistical genetics methodology development, polygenic risk prediction, genetic architecture of complex traits, functional genomics data integration, or population and evolutionary genetics
• Strong communication skills and an ability to work independently and lead research projects

Qualified candidates must be able to effectively communicate with all levels of the organization.

Compensation

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 role is $85,000.00–$100,000.00 annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses, differential pay, or other forms of compensation or benefits.

Benefits

The role offers a comprehensive benefits and wellness package designed to support employees at any stage of life.

Equal Opportunity Statement

NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration.