Senior Bioinformatics Scientist

TL;DR

Senior Bioinformatics Scientist (Science Research): Conduct large-scale statistical genetics and multi-omics data integration analyses to support target discovery and validation with an accent on GWAS, transcriptomics, and scalable computational pipelines. Focus on designing and optimizing reproducible workflows, integrating diverse genomic datasets, and applying advanced statistical genetics methods.

Location: Fully onsite in Cambridge, MA, USA

Salary: $205,500–$221,700

Company

hirify.global is a staffing and recruitment company specializing in scientific and technical roles.

What you will do

• Conduct large-scale statistical genetics analyses including GWAS using population-scale biobank datasets
• Develop, implement, and optimize scalable and reproducible computational pipelines for genomic data analysis
• Perform post-GWAS analyses such as fine-mapping, colocalization, Mendelian Randomization, TWAS, and polygenic risk scoring
• Integrate and analyze multi-omics datasets including bulk and single-cell RNA-seq, spatial transcriptomics, and proteomics
• Collaborate with cross-functional teams including computational scientists and wet-lab biologists
• Stay current with emerging methodologies in statistical genetics, computational biology, and AI/ML applications in genomics

Requirements

• PhD in Genetics, Bioinformatics, Computational Biology, or related quantitative field
• Minimum 5+ years post-PhD experience in human or complex disease genetics
• Fully onsite role in Cambridge, MA; no remote or hybrid work allowed
• Strong hands-on experience in multi-omics data integration including bulk and single-cell RNA-seq
• Proficiency in R, Python, and Bash with ability to develop reproducible and scalable workflows
• Experience with HPC systems and AWS cloud platforms

Nice to have

• Experience with spatial transcriptomics and emerging single-cell technologies
• Proteomics experience (e.g., Olink)
• Familiarity with machine learning/AI approaches applied to genomics or multi-omics data
• Experience in cardiometabolic disease, immunology, neuroscience, or other complex disease areas
• Strong knowledge of advanced statistical genetics methods including TWAS, Mendelian Randomization, colocalization, fine-mapping, and PRS modeling

Culture & Benefits

• Major medical, dental, vision, 401k, and statutory sick pay for temporary assignments lasting 13 weeks or longer
• Commitment to reasonable accommodations for individuals with disabilities
• Participation in E-Verify program where required
• Equal opportunity employer with consideration for qualified applicants regardless of criminal histories