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How much do computational genomics jobs pay per hour?

As of May 31, 2026, the average hourly pay for computational genomics in the United States is $54.93, according to ZipRecruiter salary data. Most workers in this role earn between $46.88 and $73.56 per hour, depending on experience, location, and employer.

What is a Computational Genomics job?

A Computational Genomics job involves using computational and statistical approaches to analyze genomic data. Professionals in this field develop algorithms, build models, and apply machine learning to interpret DNA sequences, gene expression, and other biological data. They work in research, healthcare, biotechnology, and pharmaceutical industries to advance precision medicine, drug discovery, and disease understanding. Strong programming skills, bioinformatics knowledge, and expertise in data analysis are essential for this role.

What are the key skills and qualifications needed to thrive in the Computational Genomics position, and why are they important?

To thrive as a Computational Genomics professional, you need a strong background in biology, statistics, and computer science, typically supported by a relevant degree such as bioinformatics, genomics, or computational biology. Familiarity with programming languages (such as Python, R, or Perl), bioinformatics tools (e.g., BLAST, GATK), and platforms like Linux/UNIX is essential. Strong problem-solving abilities, effective communication, and the ability to work collaboratively with interdisciplinary teams are valuable soft skills. These abilities are crucial for accurately analyzing complex genomic data, developing robust workflows, and translating findings into actionable biological insights.

What are the most common daily responsibilities for someone working in Computational Genomics?

As a professional in Computational Genomics, your typical day may involve analyzing large-scale genomic datasets, developing and maintaining bioinformatics pipelines, and collaborating closely with experimental biologists and other computational scientists. You will often be tasked with interpreting complex biological data, troubleshooting data quality issues, and preparing detailed reports or visualizations of your findings. Additionally, you may participate in team meetings to discuss project goals, new research findings, or workflow improvements. This role requires balancing independent analysis with frequent interdisciplinary collaboration to ensure scientific projects progress efficiently.
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Computational Genomics jobs near you

Computational Genomics Senior Research Scientist

Vrtx

Boston, MA • Hybrid

$129.90K - $194.90K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago

Job description

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 Bostonbased research groups to design, analyze, and interpret human genetics, genomics, and sequencingbased 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 crossfunctional project teams. This position is based in Boston, MA and is eligible for onsite or hybrid work, with an expectation of at least three days per week onsite.

Key responsibilities:

  • Serve as a senior computational genomics partner to discovery and project teams, acting as the primary bioinformatics and genomics subjectmatter expert for assigned programs
  • Lead the design, analysis, and interpretation of human genetics, genomics, and sequencingbased studies to address key biological and translational questions
  • Apply sophisticated computational and statistical approaches to analyze largescale 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 noncomputational stakeholders
  • Provide scientific ownership and accountability for human genetics and genomics deliverables, ensuring highquality, timely outputs that support project decisionmaking
  • 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 largescale biological datasets; proficiency in R or Python, Unix/Linux environments, and highperformance 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 crossfunctional teams and manage multiple priorities in a fastpaced research environment.
  • A collaborative, growthoriented 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 postdoctoral 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 nextgeneration 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 ApplicationAssistance@vrtx.com

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