Computational Genomics Research Scientist

Vertex is a global biotechnology company that invests in scientific innovation. They are seeking a Computational Genomics Research Scientist to leverage computational biology for the development of transformative therapies for serious human diseases. The role involves collaborating with cross-functional teams, designing and executing genomic studies, and performing computational analyses to inform program strategy and target evaluation.

Responsibilities

• Proactively collaborate with cross‑functional project teams as the computational biology expert to identify key scientific questions that can be addressed through human genetics, genomics, sequencing, and computational analyses
• Design and execute studies across diverse omics, including bulk RNA‑seq, whole‑genome sequencing, single‑cell RNA‑seq, spatial transcriptomics, and human genetics
• Perform sophisticated computational analyses of internal and external datasets, integrating deep critical thinking, statistical rigor, domain expertise, and best practices from the literature to generate actionable insights
• Incorporate publicly available genomic resources (e.g., GTEx, gnomAD, FinnGen, UK Biobank) to contextualize and interpret internal data
• Distill complex analyses and scientific results into clear presentations, including key take-home messages and recommendations for next steps to a broad audience
• Author study reports, white papers, and manuscripts to support internal decision-making and external communications including regulatory filings
• Partner with the DCS method development team to develop innovative methods and improve usability, accuracy, and robustness of existing ones

Skills

• A proven track record in the analysis, visualization, and interpretation of genomic and next-generation sequencing (NGS) data
• Solid scientific understanding of gene editing, the role of genetic variation in human disease, molecular biology, and cellular biology
• Expertise with applying computational methods and bioinformatics tools to large-scale data
• Solid understanding of statistics
• PhD degree (or Master's degree) in computational biology, bioinformatics, human genetics, genomics, systems biology, bioengineering, or a related field with 0–3 years (or 3+ years for Master's degree) of productive, relevant industry or post-doc experience
• A proven track record of stand-out excellence in the analysis, visualization, and interpretation of genomic data (such as next-generation sequencing (NGS)) or human genetic data
• Demonstrated ability to work across cross-functional teams, ensuring timely progress
• Superior communication skills, demonstrating confidence and versatility in presenting verbally to diverse audiences and writing technical documents
• Deep scientific understanding of genetic variation in human disease, molecular biology, and cellular biology
• Expertise with rapidly applying computational methods and bioinformatics tools to large-scale data
• Proficiency with R and/or python, and high-performance computing systems; solid understanding of statistics
• A team-oriented growth mindset that welcomes feedback from others and supports other team members; a positive attitude that enthusiastically tackles and overcomes challenges

Benefits

• Medical, dental and vision benefits
• Generous paid time off (including a week-long company shutdown in the Summer and the Winter)
• Educational assistance programs including student loan repayment
• A generous commuting subsidy
• Matching charitable donations
• 401(k)

Company Overview

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