Computational Genomics Senior Research Scientist

Job Description

We are seeking a Senior Research Scientist in Computational Genomics to join Vertex’s global Data and Computational Sciences organization. This role is embedded within the Computational Genomics team and partners closely with Boston‑based research groups to design, analyze, and interpret human genetics, genomics, and sequencing‑based studies that advance drug discovery and development programs across multiple therapeutic areas. The successful candidate will provide scientific leadership in the application of human genetic analyses, genomics, and computational biology to biological discovery, target validation, and mechanistic understanding. This role requires strong technical depth, independent scientific judgment, and the ability to translate complex data into actionable insights for cross‑functional project teams. This position is based in Boston, MA and is eligible for on‑site or hybrid work, with an expectation of at least three days per week on‑site.

Key responsibilities:

• Serve as a senior computational genomics partner to discovery and project teams, acting as the primary bioinformatics and genomics subject‑matter expert for assigned programs
• Lead the design, analysis, and interpretation of human genetics, genomics, and sequencing‑based studies to address key biological and translational questions
• Apply sophisticated computational and statistical approaches to analyze large‑scale human genetic, genomic, and functional genomics datasets, integrating best practices and emerging methods from the field
• Distill complex analyses into clear conclusions, recommendations, and next steps for diverse scientific audiences, including non‑computational stakeholders
• Provide scientific ownership and accountability for human genetics and genomics deliverables, ensuring high‑quality, timely outputs that support project decision‑making
• Partner with computational and genomics method development teams to identify opportunities to improve robustness, scalability, and usability of internal analysis approaches
• Stay current with advances in human genetics, genomics technologies, and computational biology, and proactively advocate for approaches that could accelerate Vertex’s research programs

Knowledge and Skills:

• Experience applying computational methods and bioinformatics tools to large‑scale biological datasets; proficiency in R or Python, Unix/Linux environments, and high‑performance computing systems.
• Solid grounding in statistics and genetics, including the role of human genetic variation in disease biology.
• Excellent written and verbal communication skills, with the ability to present complex technical concepts clearly and effectively to diverse audiences.
• Demonstrated ability to work effectively across cross‑functional teams and manage multiple priorities in a fast‑paced research environment.
• A collaborative, growth‑oriented mindset, with a commitment to scientific rigor, continuous learning, and supporting team success.

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.

#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 on Flex @ Vertex Program and may be changed at any time.

#LI-Hybrid

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 [email protected]