Bioinformatician III (Statistical Geneticist) - Windreich Department of AI & Human Health Research

We are seeking a highly motivated genetic epidemiologist/statistical geneticist  to join a growing genomics and precision medicine research program at the Artificial Intelligence and Human Health Department as Bioinformatician III . The candidate will be working under the supervision of Dr. Nathalie Chami. The successful candidate will lead and support analyses of large-scale genomic, proteomic, multi-omics, and longitudinal clinical datasets, applying advanced statistical genetics, bioinformatics, machine learning, and AI approaches to uncover the biological basis of complex disease and rare disorders. This role offers the opportunity to drive independent research projects, contribute to high-impact publications and grants, and collaborate closely with a multidisciplinary team at the forefront of human genetics and precision medicine.

• Design and implement large-scale genetic analyses , including QC pipelines, GWAS, rare variant association analyses, PRS construction, fine-mapping, proteomics, and integrative genomics.
• Develop reproducible computational pipelines for sequencing, association testing, multi-omics integration, and downstream biological interpretation. 
• Integrate multi-omics data, clinical, and imaging data to identify disease mechanisms, characterize disease heterogeneity, uncover risk factors, and prioritize therapeutic targets.
• Conduct longitudinal analyses of clinical and genomic data, including time-to-event analyses, disease progression modeling, and trajectory analyses.
• Apply machine learning and LLM-based approaches to large-scale genomic, multi-omics, imaging, and EHR data for gene discovery, disease subtyping, and precision medicine research.
• Lead independent research projects and contribute to collaborative studies from conception through publication. 
• Contribute to study design, grant applications, manuscripts, presentations, and scientific reporting. 
• Mentor trainees and junior analysts and help establish best practices for data management, reproducibility, and computational workflows. 
• Collaborate closely with investigators, clinicians, and computational scientists across disciplines.
• Other duties as assigned.

• M.S. in Biological Sciences, Bioinformatics, Computer Sciences, Statistics or related discipline, PhD preferred.
• Six years minimum experience required.
• Working experience with genetics or statistics analysis software and online resources.

Preferred :
· Proficiency in R , Python , Unix/Linux, Bash scripting Git/GitHub, high-performance computing, and cloud computing environments.

· Strong experience with statistical genetics analysis workflows and tools including REGENIE, PLINK, SAIGE/SAIGE-GENE+, BOLT-LMM, GATK, bcftools/vcftools, FINEMAP/ SuSiE, coloc, PRSice/LDpred/PRS-CS etc.

· Hands-on experience analyzing large-scale genomic datasets (e.g., WES/WGS, UK Biobank, All of Us, etc.)., and proteomic datasets (e.g., Olink, SomaScan) and associated analysis frameworks.

· Proficiency in cloud computing environments (e.g. AWS, DNAnexus) and HPC clusters.

· Experience with workflow automation (e.g.WDL, Nextflow).

· Proficiency with generating and maintaining reproducible pipelines (Git/GitHub) and experience with machine learning, deep learning large language models (LLMs) and AI applications.

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

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 $96461 - $144692 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.