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Genomics Analyst Jobs (NOW HIRING)

Vrtx

Computational Genomics Research Scientist

Boston, MA · Hybrid

$112K - $168K/yr

Analyze and integrate diverse genomic datasets, including bulk RNA-seq, single-cell profiling, spatial transcriptomics, and other multiomic datasets to generate actionable insights. * Perform ...

Genomics Ltd

Lead Scientist

Triangle, VA · On-site

Why We Exist Genomics is a science-led transatlantic TechBio combining large-scale genetic and health data with proprietary analytics to accelerate drug discovery and advance predictive, preventative ...

Staffed4U

Biologicial Data Analyst

Chantilly, VA · On-site

$100 - $125/hr

Analyze genomic, sequencing, and other biological datasets to identify microbial characteristics, genetic variants, mutations, and potential biological hazards. * Execute, maintain, and optimize ...

Staffed4U

Biologicial Data Analyst

Chantilly, VA · On-site +1

Analyze genomic, sequencing, and other biological datasets to identify microbial characteristics, genetic variants, mutations, and potential biological hazards. * Execute, maintain, and optimize ...

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Genomics Analyst information

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$31K

$73.3K

$130K

How much do genomics analyst jobs pay per year?

As of Sep 9, 2026, the average yearly pay for genomics analyst in the United States is $73,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $87,000.00 per year, depending on experience, location, and employer.

What is a genomics analyst?

A Genomics Analyst is a professional who analyzes and interprets genomic data to support scientific research, clinical diagnostics, or biotechnology applications. They use bioinformatics tools, statistical methods, and programming skills to study DNA, RNA, and other genetic material. Genomics Analysts often work in research labs, healthcare organizations, and pharmaceutical companies, helping to identify genetic variants, understand diseases, and contribute to personalized medicine. Their work is vital for advancing our knowledge of genetics and improving health outcomes.

What are the key skills and qualifications needed to thrive as a genomics analyst?

To thrive as a Genomics Analyst, you need a strong background in molecular biology, genetics, and bioinformatics, typically supported by a degree in a life science and experience with data analysis. Familiarity with tools like Python, R, next-generation sequencing (NGS) platforms, and databases such as Ensembl or NCBI, as well as certifications in bioinformatics, are often required. Attention to detail, problem-solving skills, and the ability to communicate complex findings clearly are standout soft skills in this field. These competencies ensure accurate genomic data interpretation, effective research collaboration, and impactful contributions to scientific and clinical advancements.

How does a genomics analyst typically collaborate with researchers and clinicians in a multidisciplinary team?

Genomics Analysts frequently work alongside researchers, bioinformaticians, and clinicians to interpret complex genetic data and support research or clinical decision-making. They help translate raw genomic sequences into actionable insights by performing data analysis, discussing findings in team meetings, and providing clear reports tailored to both scientific and clinical audiences. Effective communication and collaboration are essential, as analysts must bridge the gap between technical data and practical applications in healthcare or research. This teamwork often fosters a dynamic work environment and exposes analysts to a variety of projects, enhancing their professional growth.

What is the difference between Genomics Analyst vs Bioinformatics Technician?

AspectGenomics AnalystBioinformatics Technician
Required CredentialsBachelor's or Master's in Genetics, Biology, or related field; experience with genomic data analysisAssociate's or Bachelor's in Bioinformatics, Computer Science, or related field; basic scripting skills
Work EnvironmentLaboratories, research institutions, biotech companiesComputing labs, research facilities, biotech firms
Employer & Industry UsagePharmaceuticals, biotech, academic researchResearch labs, biotech companies, healthcare institutions
Common Search & ComparisonYesYes

The main difference between a Genomics Analyst and a Bioinformatics Technician lies in their roles and experience. Genomics Analysts typically have advanced degrees and focus on interpreting complex genomic data, while Bioinformatics Technicians often have technical backgrounds and support data processing. Both roles are vital in genomics research and often work together within similar environments.

More about Genomics Analyst jobs

What cities are hiring for Genomics Analyst jobs?

Cities with the most Genomics Analyst job openings:

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What states have the most Genomics Analyst jobs?

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

What are popular job titles related to Genomics Analyst jobs?

For Genomics Analyst jobs, the most frequently searched job titles are:

Genomics Analyst jobs near you
Infographic showing various Genomics Analyst job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 80% Physical, 8% Hybrid, and 12% Remote job distribution, with an average salary of $73,261 per year, or $35.2 per hour.

Computational Genomics Research Scientist

Boston, MA • Hybrid

Vrtx
See more jobs at Vrtxexternal

$112K - $168K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago

Job description

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 pre-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 willbe responsible for performingbulk and single-cell sequencinganalyses, spatial transcriptomics, andmultiomicprofiling to help uncover the molecular programs that govern therapeutic cell identity, differentiation, function, and safety to accelerate the development of next-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 RNA-seq, single-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 take-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 well-documented, version-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 next-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 large-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 0-3 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 single-cell genomics and spatial transcriptomics experiments
  • Proficiency in Python and/or R for scientific computing and data analysis.
  • Experience working in Linux-based high-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 cross-functional teams and contribute to a positive, team-oriented environment.

#LI-KM1

#LI-Hybrid


At Vertex, we embrace continuous learning and encourage employees to stay informed on advances in AI, technology, automation, and industry trends. We seek talent who bring an external perspective, demonstrate curiosity and sound judgment, and thoughtfully adopt new capabilities that improve decision-making, drive innovation, increase efficiency, and help deliver better outcomes for patients.

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 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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