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Computational Genomics Jobs (NOW HIRING)

We are seeking a Computational Genomics Research Scientist to support the development of transformative cell and gene therapies across Vertex's research portfolio. This Boston-based position is part ...

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How much do computational genomics jobs pay per hour?

As of Sep 13, 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 does a computational genomics specialist do?

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.

What are the key skills and qualifications needed to thrive in computational genomics?

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.

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What cities are hiring for Computational Genomics jobs?

Cities with the most Computational Genomics job openings:

What states have the most Computational Genomics jobs?

States with the most job openings for Computational Genomics jobs include:

Infographic showing various Computational Genomics job openings in the United States as of September 2026, with employment types broken down into 5% Internship, 66% Full Time, 28% Part Time, and 1% Contract. Highlights an 67% Physical, 2% Hybrid, and 31% Remote job distribution, with an average salary of $114,249 per year, or $54.9 per hour.

Computational Genomics Research Scientist

Boston, MA โ€ข On-site

$112K - $168K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago


Job description

We are seeking a Computational Genomics Research Scientist to support the development of transformative cell and gene therapies across Vertex's research portfolio. This Boston-based position is part of the global Data and Computational Sciences organization and will collaborate closely with research teams spanning stem cell biology, immunology, gene editing, and preโ€‘clinical development to design studies, execute and analyze complex genomic analyses, and ultimately generate biological insights that drive early research across multiple disease programs. As an embedded computational scientist, you will be responsible for performing bulk and singleโ€‘cell sequencing analyses, spatial transcriptomics, and multiomic profiling to help uncover the molecular programs that govern therapeutic cell identity, differentiation, function, and safety to accelerate the development of nextโ€‘generation cell and gene therapies. This is a Boston based, hybrid position requiring 3 days/week onsite.

Key Responsibilities
  • Collaborate closely with cross-functional research teams to identify key scientific questions that can be addressed through genomics, sequencing, and bioinformatics approaches.
  • Lead the application and advancement of spatial transcriptomics methods, collaborating across teams and sites to develop, implement, and share analytical best practices.
  • Analyze and integrate diverse genomic datasets, including bulk RNAโ€‘seq, singleโ€‘cell profiling, spatial transcriptomics, and other multiomic datasets to generate actionable insights.
  • Perform sophisticated computational analyses of sequencing and other biological data through deep critical thinking, incorporation of published findings and best practices from the field, strong statistical rigor, and data science visualizations.
  • Distill complex analyses and scientific results into key takeโ€‘home messages and recommendations for next steps to a broad audience.
  • Partner with computational and software teams to improve analytical workflows, reproducibility, usability, and robustness.
  • Practice reproducible research and maintain wellโ€‘documented, versionโ€‘controlled analytical workflows.
  • Author study reports and technical documentation to support research and regulatory activities.
  • Evaluate emerging genomics technologies and computational methods and incorporate new approaches where appropriate.
Knowledge and Skills
  • A proven track record in the analysis, visualization, and interpretation of genomic and nextโ€‘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 largeโ€‘scale data
  • Solid understanding of statistics
Education and Experience
  • Ph.D. in computational biology, bioinformatics, genomics, systems biology, biomedical engineering, statistics, computer science, or a related quantitative discipline, with 0โ€‘3 years of relevant postdoctoral or industry experience; or a Master's degree in a related field with 3+ years of relevant industry experience.
  • Demonstrated expertise in the design, analysis, visualization, and interpretation of singleโ€‘cell genomics and spatial transcriptomics experiments
  • Proficiency in Python and/or R for scientific computing and data analysis.
  • Experience working in Linuxโ€‘based highโ€‘performance computing (HPC) and/or cloud computing environments.
  • Strong foundation in statistics, experimental design, and reproducible computational research.
  • Proven ability to derive biological insight from complex datasets and translate findings into actionable recommendations for research teams.
  • Excellent communication and presentation skills, with the ability to effectively convey complex scientific findings to multidisciplinary audiences.
  • Demonstrated ability to work collaboratively within crossโ€‘functional teams and contribute to a positive, teamโ€‘oriented environment.

#LI-KM1

#LI-Hybrid

Pay Range

$112,000 - $168,000

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 jobโ€‘related factors permitted by law.

At Vertex, our Total Rewards offerings also include inclusive marketโ€‘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 weekโ€‘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 Onโ€‘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
  • Onโ€‘Site: work five days per week onโ€‘site with ad hoc flexibility.

Note: The Flex status for this position is subject to Vertexโ€™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 nonโ€‘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 Eโ€‘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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