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How much do computational systems biology jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for computational systems biology in the United States is $54.32, according to ZipRecruiter salary data. Most workers in this role earn between $41.83 and $64.42 per hour, depending on experience, location, and employer.

What is computational systems biology?

Computational systems biology is an interdisciplinary field that uses computational methods, mathematical modeling, and systems theory to understand complex biological systems. It integrates data from genomics, proteomics, and other high-throughput technologies to build models that simulate the behavior of biological networks and pathways. This approach helps researchers predict how biological systems respond to different conditions, design experiments more efficiently, and uncover principles underlying life processes. Computational systems biology is crucial for advancing personalized medicine, drug discovery, and our overall understanding of biology.

What are some common interdisciplinary collaborations for professionals in computational systems biology?

Professionals in Computational Systems Biology frequently collaborate with experts in fields such as molecular biology, bioinformatics, computer science, and clinical research. These collaborations are essential for integrating experimental data, developing computational models, and interpreting complex biological systems. Teamwork often involves regular meetings, data-sharing platforms, and joint project planning to ensure that computational insights are effectively translated into biological understanding and practical applications. Such a collaborative environment fosters skill development and opens pathways for career advancement within both research and industry settings.

What are the key skills and qualifications needed to thrive as a computational systems biologist, and why are they important?

To thrive as a Computational Systems Biologist, you need a strong background in biology, mathematics, and computer science, often supported by an advanced degree in a related field. Expertise in programming languages (such as Python or R), familiarity with bioinformatics tools, and experience using systems biology modeling platforms (like MATLAB or CellDesigner) are commonly required. Strong analytical thinking, problem-solving abilities, and effective collaboration skills set top performers apart in this interdisciplinary domain. These skills are crucial for understanding complex biological systems, developing predictive models, and advancing research in biomedical science.

What is the difference between Computational Systems Biology vs Bioinformatics Specialist?

AspectComputational Systems BiologyBioinformatics Specialist
Required CredentialsPhD or Master’s in Computational Biology, Bioinformatics, or related fieldsBachelor’s or Master’s in Bioinformatics, Computer Science, or related fields
Work EnvironmentResearch labs, academic institutions, biotech companiesHealthcare, research institutions, biotech firms
Industry UsageAcademic research, drug discovery, systems-level analysisGenomic data analysis, sequence alignment, data management

Computational Systems Biology and Bioinformatics Specialist roles often overlap but differ in focus. Computational Systems Biology emphasizes modeling biological systems at a systems level, while Bioinformatics Specialists focus on analyzing biological data, especially genomic sequences. Both roles require strong computational skills and are vital in biotech and research industries.

What jobs can I get with computational systems biology?

Computational systems biology graduates can pursue roles such as bioinformatics analyst, systems biologist, computational biologist, data scientist in biotech or pharmaceutical companies, and research scientist. These positions often require skills in programming, data analysis, and biological modeling, and may involve working with tools like R, Python, or MATLAB in research or industry settings.
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Computational Systems Biology jobs near you
Infographic showing various Computational Systems Biology job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, 9% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $112,983 per year, or $54.3 per hour.

Executive Director, Computational Systems Biology

Revolution Medicines

Redwood City, CA • On-site

Full-time

Re-posted 21 days ago

Job description

Revolution Medicines is a late-stage clinical oncology company developing novel targeted therapies for patients with RAS-addicted cancers. The company's R&D pipeline comprises RAS(ON) inhibitors designed to suppress diverse oncogenic variants of RAS proteins. The company's RAS(ON) inhibitors daraxonrasib (RMC-6236), a RAS(ON) multi-selective inhibitor; elironrasib (RMC-6291), a RAS(ON) G12C-selective inhibitor; zoldonrasib (RMC-9805), a RAS(ON) G12D-selective inhibitor; and RMC-5127, a RAS(ON) G12V-selective inhibitor, are currently in clinical development. As a new member of the Revolution Medicines team, you will join other outstanding professionals in a tireless commitment to patients with cancers harboring mutations in the RAS signaling pathway.
The Opportunity:
As an Executive Director and Head of Research Computational Biology within our Biology Function, the individual will oversee the scientific and strategic direction of systems biology research and preclinical computational biology initiatives. The individual will lead a team of computational biologists and bioinformaticians focused on acquisition, organization, and analysis of large multi-omics data sets, using both public and proprietary data sources, that will help inform treatment strategies and guide patient stratification for a growing pipeline of RAS(ON) and targeted oncology therapeutics. We are looking for an experienced leader with strong interpersonal skills and an ability to lead a strong and diverse computational biology team. Key aspects of the role include:
  • Strategic vision and leadership: Develop and implement a long-term strategy for research systems biology and bioinformatic activities to support a growing pipeline of RAS(ON) and novel targeted inhibitors. Lead and supervise a team of experienced computational biologists and bioinformaticians to generate, organize, and interpret large data sets to inform therapeutic and combination strategies for patients with cancer.
  • Cross-functional collaboration across research, translational, development and medical affairs groups: Work across functions to support advancement of programs from early discovery into clinical development using biological insights derived from computational approaches. Additionally, leverage clinical data from RVMD investigational agents to generate proprietary insights into RAS mutant tumor biology and RVMD RAS(ON) inhibitor mechanisms of action.
  • Technical leadership and innovation: Lead a team analyzing large, high-dimensional datasets. Work with colleagues in Information Sciences and Information Systems to oversee data integration, analysis and visualization using cloud-based platforms (AWS, Azure, GCP). Direct the development and application of cutting-edge statistical analysis, AI/ML methods, generative AI models, and MLOps principles to elucidate findings and generate new insights related to biomarker discovery, drug target identification, and predictive modeling. Establish and implement modern workflow management systems (Snakemake, Nextflow) and reproducible research practices.
  • External collaboration: Cultivate and manage academic and industry collaborations, including CRO partnerships. Represent the company at scientific conferences through presentations and thought leadership. Maintain an active publication record in high-impact, peer reviewed journals. Drive intellectual property strategy and patent filings related to computational discoveries.

Required Skills, Experience and Education:
  • Education: A Ph.D. in systems biology, computational biology, bioinformatics, or a related biological or biomedical discipline.
  • Experience: Minimum of 15+ years total experience with significant pharmaceutical/biotechnology industry and management experience.
  • Scientific knowledge: Deep expertise in systems biology, computational biology, and bioinformatics, including proficiency with multi-omics data integration, modeling, and analysis. Experience with single-cell technologies, spatial transcriptomics, proteomics, and epigenomics. Oncology research experience preferred but not required.
  • Technical: Advanced programming skills in R, Python, and at least one additional language (Perl, C/C++, Java). Proficiency with high-performance computing (HPC) and cloud platforms (AWS, Azure, or GCP). Knowledge of workflow management tools and version control systems. Understanding of MLOps principles, model deployment, and generative AI applications in drug discovery.
  • Leadership and management: Demonstrated ability to lead, mentor, and inspire interdisciplinary teams while fostering a collaborative culture. Experience managing budgets and strategic planning at the department level. Proven track record of advancing research programs from discovery through development.
  • Strategic thinking: Proven strategic thinker who can align research and drug development objectives and leverage innovative technologies effectively.
  • Communication: Excellent communication and presentation skills for interacting with technical teams, senior leadership, and external partners. #LI-Hybrid #LI-GL1

The base pay salary range for this full-time position for candidates working onsite at our headquarters in Redwood City, CA is listed below. The range displayed on each job posting is intended to be the base pay salary range for an individual working onsite in Redwood City and will be adjusted for the local market a candidate is based in. Our base pay salary ranges are determined by role, level, and location. Individual base pay salary is determined by multiple factors, including job-related skills, experience, market dynamics, and relevant education or training.
Please note that base pay salary range is one part of the overall total rewards program at RevMed, which includes competitive cash compensation, robust equity awards, strong benefits, and significant learning and development opportunities.
Revolution Medicines is an equal opportunity employer and prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, disability, marital status, medical condition, and veteran status.
Revolution Medicines takes protection and security of personal data very seriously and respects your right to privacy while using our website and when contacting us by email or phone. We will only collect, process and use any personal data that you provide to us in accordance with our CCPA Notice and Privacy Policy. For additional information, please contact privacy@revmed.com.
Base Pay Salary Range
$265,000-$331,000 USD
We are aware of recent recruitment scams in which individuals or organizations falsely represent themselves as being affiliated with Revolution Medicines. These scams may appear as false job advertisements or unsolicited contacts through communication or chat platforms, email, phone, or text message.
Please note that Revolution Medicines does not extend unsolicited employment offers and will never ask candidates to provide financial information, purchase equipment, or pay fees as part of the hiring process. All legitimate communication from Revolution Medicines will come from an official @revmed.com email address.
If you believe you've been contacted by someone impersonating a Revolution Medicines recruiter, please report it to careers@revmed.com so we can share these impersonations with our IT team for tracking and awareness.

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