Postdoctoral Fellow-MSH-32910-036

Mount Sinai; New York (NY); On-site; USD 75,000 - 80,000; Full time

Job summary

Mount Sinai invites applications for a Postdoctoral Fellow in Human Genomics to advance research in statistical genetics and genetic epidemiology. The role emphasizes developing an independent program, leveraging large multi-omics datasets, and collaborating across disciplines within a premier academic health system in New York.

The fellow will lead projects on obesity, diabetes, cardiometabolic traits, and related diseases, with the goal of translating genetic discoveries into biological

Qualifications

• PhD in human genetics or closely related field.
• Strong quantitative and analytical skills.
• Experience analyzing human genetic or genomic data.
• Proficiency in R.
• Experience working in Unix/Linux environments.
• Strong understanding of statistical principles in genetic/epidemiologic research.
• Ability to independently analyze data, interpret results, and troubleshoot.
• Strong scientific writing and communication skills.
• Demonstrated ability to work independently and collaboratively.
• Experience in GWAS and sequencing analyses, plus polygenic risk scores, fine-mapping or colocalization.
• Experience with large-scale biobank datasets and HPC workflows.
• Strong publication record and scientific ownership.

Responsibilities

• Lead independent research projects from study design through analysis and publication.
• Analyze large-scale genomic datasets including GWAS and sequencing data.
• Integrate genomic data with clinical and multi-omics datasets.
• Develop and implement rigorous statistical and computational approaches for human genetics.
• Interpret findings in the context of disease biology and potential clinical relevance.
• Prepare manuscripts and present findings at meetings.
• Contribute to grant applications and new research directions.
• Collaborate across genetics, epidemiology, bioinformatics, data science.

Skills

Quantitative skills

Genetic data analysis

R proficiency

Unix/Linux

Statistical principles

Independent data analysis

Scientific writing

Collaborative work

GWAS analysis

Polygenic risk scores

Fine-mapping / Colocalization

Biobank datasets

High-performance computing

Publication record

Education

PhD in human genetics / statistical genetics / genetic epidemiology / bioinformatics / computational biology / biostatistics

Job description

Job Description

Postdoctoral Fellow — Human Genomics

Position Overview

We are seeking a highly motivated Postdoctoral Fellow with extensive experience in statistical genetics/genetic epidemiology to join our research program focused on the genetics and genomics of complex traits and rare disorders under the supervision of Dr. Nathalie Chami.

Our research integrates large-scale human genetic and genomic data with electronic health records, proteomics, multi-omics, and other deeply phenotyped datasets to understand the genetic architecture and biological heterogeneity of complex disease. A major focus of the lab is moving beyond gene discovery to understand disease penetrance, subtypes, mechanisms, and comorbidities, with the long-term goal of advancing precision medicine.

The successful candidate will have the opportunity to lead projects using large, diverse biobanks and population-based cohorts, including datasets with genome-wide genotyping, whole-exome and whole-genome sequencing, longitudinal electronic health records, proteomics, and other molecular and clinical phenotypes.

The position is particularly well suited for a candidate interested in developing an independent research program in human genetics, statistical genetics, genetic epidemiology, or computational genomics.

Research Areas

• Genetic discovery for obesity, diabetes, cardiovascular disease, and related cardiometabolic traits
• Genome-wide association studies (GWAS) and fine-mapping
• Rare-variant association analyses using whole-exome and whole-genome sequencing
• Integration of rare and common genetic variation
• Polygenic risk scores and genetic modifiers of disease penetrance
• Genetic and molecular characterization of disease subtypes
• Multi-ancestry and cross-population genetic analyses
• Integration of genomics with proteomics and other multi-omics data
• Genetics of longitudinal clinical outcomes and electronic health record-derived phenotypes
• Integration of genomic and imaging-derived traits
• Causal inference and translation of genetic discoveries into biological and clinical insight

Qualifications

Required Qualifications

• A PhD in human genetics, statistical genetics, genetic epidemiology, bioinformatics, computational biology, biostatistics, or a closely related field
• Strong quantitative and analytical skills
• Experience analyzing human genetic or genomic data
• Proficiency in R
• Experience working in Unix/Linux computational environments
• Strong understanding of statistical principles relevant to genetic and epidemiologic research
• Ability to independently analyze data, critically interpret results, and troubleshoot analytical problems
• Strong scientific writing and communication skills
• Demonstrated ability to work both independently and collaboratively
• Experience in statistical genetic including GWAS , Whole-exome or whole-genome sequencing analysis
• Polygenic risk scores
• Fine-mapping, colocalization, or other post-GWAS analyses
• Large-scale biobank datasets
• High-performance computing and reproducible computational workflows
• A strong publication record and evidence of the ability to take scientific ownership of a project are highly valued.

Desired Attributes

• Scientifically curious and creative
• Highly motivated and intellectually independent
• Interested in asking biologically and clinically meaningful questions using human genomic data
• Rigorous and thoughtful in quantitative analysis
• Proactive and able to move projects forward independently

Research Environment and Career Development

The fellow will work in a highly collaborative environment at the intersection of human genetics, genomics, epidemiology, computational biology, and precision medicine. The position provides access to large-scale genomic and deeply phenotyped datasets and opportunities to collaborate with investigators across multiple disciplines.

A major emphasis will be placed on the fellow’s career development and scientific independence. Fellows will be encouraged to develop their own research questions, lead manuscripts, present their work at scientific meetings, participate in grant writing, and pursue fellowship and career-development funding.

Responsibilities

• Lead independent research projects from study design through analysis, interpretation, and publication
• Analyze large-scale genomic datasets, including GWAS, exome sequencing, whole-genome sequencing, and rare-variant data
• Integrate genomic data with clinical, EHR, proteomic, multi-omic, and other phenotypic datasets
• Develop and implement rigorous statistical and computational approaches for human genetic studies
• Interpret genetic findings in the context of disease biology and potential clinical relevance
• Prepare manuscripts for publication in peer-reviewed journals and present findings at national and international scientific meetings
• Contribute to grant applications and development of new research directions
• Collaborate with investigators across genetics, epidemiology, clinical medicine, bioinformatics, data science, and related disciplines

About Us

Strength through Unity and Inclusion

The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai’s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual.

At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history.

About the Mount Sinai Health System:

Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time — discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients’ medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint‑venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report’s “Best Children’s Hospitals” ranks Mount Sinai Kravis Children's Hospital among the country’s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek’s “The World’s Best Smart Hospitals” ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally.

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 Statement

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 $74,692.00 - $80,000.00 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.

Mount Sinai Health System (MSHS) provides a salary range to comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $72500 - $80000 Annually. Actual salaries depend on a variety of factors, including experience, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.