Computational Genomics Senior Research Scientist

About this role

Job Description We are seeking a Senior Research Scientist in Computational Genomics to join Vertex's Data and Computational Sciences organization at our San Diego research site. In this role, you will   work at the intersection of human genetics, genomics, and modern computational approaches, including emerging AI technologies,   to accelerate the development of transformative therapies for serious human diseases.   Working closely with cross-functional disease project teams, you will help shape the development of novel therapies in areas including lung diseases and pain by designing   human genetic and   genomics studies and translating complex datasets into insights that inform program strategy, target evaluation, biomarker development, and mechanistic understanding.   You will take ownership of analyses from biological   question   to   actionable   recommendation   and help guide the application of genomics and human genetics across discovery programs.    

Success in this role will require scientific independence, sound judgment, and effective collaboration across disease biology, experimental genomics, translational research, computational sciences, and project leadership.    

This position is based in   San Diego ,   C A and is eligible for on‑site or hybrid work, with an expectation of at least three days per week on‑site.  

Key responsibilities:  

• Partner closely with cross-functional project teams to   identify   critical scientific questions that can be addressed through human genetics, genomics, sequencing, and computational analyses.

• Design, execute, and interpret human genetic, genomic, and multi- omic   studies that advance target discovery, target validation, biomarker development, and mechanistic understanding.  

• Apply and develop computational and statistical approaches to analyze complex biological datasets, integrating internal data with publicly available resources to generate actionable insights.  

• Take ownership of analyses from biological   question   through recommendation, clearly communicating conclusions, limitations, and proposed next steps to diverse scientific audiences.  

• Help shape genomics strategies across discovery programs, ensuring that study design, analysis plans, and interpretation are scientifically rigorous and aligned with project   objectives .  

• Collaborate with computational and experimental scientists to   identify   opportunities where emerging computational approaches, including machine learning and AI technologies, can accelerate biological discovery and enhance the analysis and interpretation of genomic and human genetic data.  

• Contribute to scientific publications, internal reports, regulatory submissions, and other communications that support research and development activities.  

Knowledge and Skills :  

• Deep understanding of human genetics, genomics, and their application to disease biology, target discovery, and therapeutic development.  

• Strong scientific judgment and the ability to translate complex datasets into clear conclusions, recommendations, and next steps.  

• Ability to independently drive scientific questions from study design through interpretation and influence project decision-making.  

• Excellent communication skills, including the ability to convey complex scientific concepts to diverse audiences.  

• Interest in evaluating and applying emerging computational approaches, including machine learning and AI technologies, where they can meaningfully advance biological discovery.  

• A team-oriented growth mindset that welcomes feedback from others and supports other team members; a positive attitude that enthusiastically tackles and overcomes challenges  

Minimum Qualifications:  

• PhD in computational biology, bioinformatics, genomics, human genetics, systems biology, bioengineering, or a related field, with 3+ years of relevant post-doctoral or industry experience; or   Master's   degree in a related field with 8+ years of relevant industry experience.  

• Demonstrated excellence in the analysis, visualization, and interpretation of human genetics, genomic, and next-generation sequencing (NGS) data.  

• Experience applying computational methods and bioinformatics tools to large-scale biological datasets.  

• Proficiency   in   programming ( R ,   Python ),   Unix/Linux environments, and high-performance computing systems.  

• Solid   foundation   in statistics and genetics, including the role of human genetic variation in disease biology.  

#LI-KM1 #LI-Hybrid

Pay Range: $129,900 - $194,900 Disclosure Statement: The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law.

At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations.  From medical, dental and vision benefits to 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) and so much more.

Flex Designation: Hybrid-Eligible Or On-Site Eligible Flex Eligibility Status: In this Hybrid-Eligible role, you can choose to be designated as:  1.     Hybrid : work remotely up to two days per week; or select 2.     On-Site : work five days per week on-site with ad hoc flexibility. Note: The Flex status for this position is subject to Vertex’s Policy

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