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

About the Role

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 work under the supervision of Dr. Nathalie Chami and will lead and support analyses of large-scale genomic, proteomic, multi-omics, and longitudinal clinical datasets. 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.

Responsibilities

• 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.

Requirements

• 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.

Skills

• 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) 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).
• Experience with machine learning, deep learning, large language models (LLMs), and AI applications.

About the Employer

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 and transforming healthcare through innovation, education, and research.

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, over 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. The system advances health for all people by tackling complex healthcare challenges through discovery, education, and high-quality care.

We are consistently ranked highly by U.S. News & World Report’s Best Hospitals and Best Children’s Hospitals, and our Icahn School of Medicine is a leader in National Institutes of Health funding. 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.

Pay

The salary range for this role is $96,461 - $144,692 annually. Actual salaries depend on a variety of factors, including experience, education, and operational need.