Computational Genomics Senior Research Scientist

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.

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.

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: Hybrid: work remotely up to two days per week; or select 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 on Flex @ Vertex Program and may be changed at any time.

Company Information

Vertex is a global biotechnology company that invests in scientific innovation. Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at ApplicationAssistance@vrtx.com.