Computational Genomics Research Scientist

About This Role

Join the Data and Computational Sciences organization to leverage computational biology, accelerate transformative therapies for serious human diseases, and contribute to novel therapies in lung diseases and pain as a computational biology expert.

Responsibilities

• Collaborate with cross-functional project teams to identify key scientific questions addressable 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
• 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

Requirements

• 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
• Proficiency with R and/or Python
• Experience with high-performance computing systems
• Demonstrated ability to work across cross-functional teams
• Superior communication skills for presenting verbally and writing technical documents

Qualifications

• PhD degree (or Master’s degree) in computational biology, bioinformatics, human genetics, genomics, systems biology, bioengineering, or a related field
• 0-3 years (or 3+ years for Master’s degree) of productive, relevant industry or post-doc experience

Skills

* Required skills

Benefits