Senior Research Scientist

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We have an exciting opportunity to join our team as a Senior Research Scientist.

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 tafavi with:
1. Curriculum vitae including complete list of publications.
2. 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.
3. Contact information for three professional references.

• 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

To qualify you must have a PhD and 3 years of experience or equivalent combination of education and experience.

Candidates should hold a 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. The ideal candidate will have demonstrated expertise in developing and applying statistical methods for genetic data analysis, advanced programming skills in languages such as Python or R, and experience with high-performance computing and large-scale genetic datasets.

Postdoctoral research experience, including grant writing, is highly desirable. Additional expertise in areas such as statistical genetics methodology development, polygenic risk prediction, genetic architecture of complex traits, functional genomics data integration, or population and evolutionary genetics is preferred. Strong communication skills and the ability to work independently and lead research projects are essential.

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

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