Senior Bioinformatics Scientist - III (Genomics)

Location: Fully onsite in Cambridge, Massachusetts; no remote or hybrid work. Non-local candidates must be willing to relocate at their own expense.

Salary: $205,500 per year

Company

hirify.global provides staffing and employment opportunities for technical and scientific professionals.

What you will do

• Conduct large-scale statistical genetics analyses and GWAS using population-scale biobank and consortium datasets.
• Develop, implement, and optimize scalable, reproducible computational pipelines for genomic data analysis.
• Perform meta-analysis and post-GWAS analyses, including fine-mapping, colocalization, Mendelian Randomization, TWAS, and PRS.
• Integrate bulk and single-cell RNA-seq, ATAC-seq, QTL, proteomics, and other multi-omics datasets for gene and target prioritization.
• Collaborate with computational scientists, disease-area experts, and wet-lab biologists to support drug discovery programs.
• Interpret and communicate complex genetic findings while evaluating emerging statistical genetics, computational biology, and AI/ML methods.

Requirements

• PhD or equivalent in Genetics, Bioinformatics, Computational Biology, Statistical Genetics, Biostatistics, Genetic Epidemiology, or a related quantitative field.
• At least 5 years of post-PhD experience in human or complex disease genetics research.
• Hands-on experience with GWAS, large-scale genomic datasets, statistical genetics, transcriptomics, and multi-omics integration, including required single-cell RNA-seq.
• Strong programming skills in R, Python, and Bash, with experience developing reproducible and scalable workflows.
• Experience with HPC environments and AWS cloud services, including S3 and IAM.
• Strong publication record and excellent communication skills in multidisciplinary research environments.

Nice to have

• Experience with spatial transcriptomics, emerging single-cell technologies, or proteomics platforms such as Olink.
• Experience applying machine learning or AI to genomics or multi-omics data.
• Background in cardiometabolic disease, immunology, neuroscience, or other complex disease areas.
• Advanced knowledge of TWAS, Mendelian Randomization, colocalization, fine-mapping, and PRS modeling.

Culture & Benefits

• Cross-functional collaboration across computational science, disease research, and wet-lab biology.
• Temporary assignments lasting 13 weeks or longer may include medical, dental, vision, and 401(k) benefits.
• Statutory sick pay is provided where required.
• Reasonable accommodations are available during the employment process.