Bioinformatician Jobs

About The Position

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.

Nice To Haves

• 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.

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.

Benefits

• Salary range compliance with New York City Law on Salary Transparency in Job Advertisements
• 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.