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Computational Research 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 ...

$120 - $140/hr

Our work combines rigorous research and experimentation with advanced communications and innovation ... The Computational Social Scientist, Applied AI will join GoodPower's Good Data Lab, using large ...

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How much do computational research jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for computational research 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 computational research?

Computational research involves using computer-based models, simulations, and data analysis to solve complex scientific and engineering problems. Researchers in this field use algorithms, software, and high-performance computing to analyze large datasets, perform simulations, and make predictions. This approach is widely used across disciplines such as physics, biology, chemistry, and engineering to complement experimental and theoretical work.

What are some common challenges faced by professionals in computational research, and how can they be addressed?

Professionals in computational research often encounter challenges such as managing large datasets, optimizing algorithms for efficiency, and ensuring reproducibility of results. Collaborating effectively with interdisciplinary teams—such as domain scientists, software engineers, and data analysts—can also be complex due to differing technical backgrounds. To address these challenges, it's essential to stay updated on the latest tools and best practices, document code thoroughly, and communicate regularly with collaborators to align goals and methodologies. Many organizations also offer mentorship programs and workshops to support ongoing professional development in these areas.

What are the key skills and qualifications needed to thrive in computational research, and why are they important?

To excel in Computational Research, a strong background in mathematics, computer science, and domain-specific knowledge is essential, often supported by advanced degrees such as a master's or PhD. Proficiency with programming languages (like Python, R, or C++), data analysis tools, and high-performance computing systems is typically required. Critical thinking, problem-solving, and effective collaboration are crucial soft skills for success in interdisciplinary research environments. These skills and qualities are important because they enable researchers to design innovative solutions, analyze complex data, and drive scientific discovery.

What is the difference between Computational Research vs Data Scientist?

AspectComputational ResearchData Scientist
Required CredentialsAdvanced degrees in computer science, mathematics, or related fieldsDegree in statistics, computer science, or related fields; certifications like SAS or Python
Work EnvironmentResearch labs, academic institutions, R&D departmentsCorporate settings, tech companies, finance, healthcare
Industry UsagePrimarily in academia, government, and research institutionsWidely in business, tech, and consulting sectors

Computational Research focuses on developing new algorithms and models for scientific discovery, often in academic or research settings. Data Scientists analyze and interpret large datasets to inform business decisions. While both roles require strong technical skills and programming knowledge, Computational Research emphasizes theoretical development, whereas Data Scientists focus on practical data analysis and insights.

More about Computational Research jobs

What are the most commonly searched types of Computational Research jobs?

The most popular types of Computational Research jobs are:

Infographic showing various Computational Research job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $114,249 per year, or $54.9 per hour.

Computational Genomics Research Scientist

Biopharma Careers

Boston, MA • On-site

$112 - $168/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 4 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 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 will be responsible for performing bulk and single‑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 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

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:

  • 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

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