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Director Systems Biology information

What does a director of systems biology do?

A Director of Systems Biology leads research and development efforts that use computational and experimental approaches to understand complex biological systems. They manage teams of scientists, oversee large-scale projects, and collaborate with other departments to integrate biological data and generate actionable insights. Their role often involves strategic planning, resource allocation, and ensuring that the team’s work aligns with the broader goals of the organization. Directors in this field are also responsible for staying updated on the latest advancements in systems biology and fostering innovation within their teams.

What are the key skills and qualifications needed to thrive as a director of systems biology?

To thrive as a Director of Systems Biology, you need an advanced degree (PhD or equivalent) in biology, computational biology, or a related field, along with extensive experience in systems biology research and team leadership. Expertise in bioinformatics tools, data analysis platforms (such as R, Python, or MATLAB), and familiarity with high-throughput laboratory technologies are essential. Exceptional communication, strategic thinking, and cross-disciplinary collaboration skills set outstanding candidates apart. These skills and qualities are crucial for effectively leading innovative research, driving scientific discovery, and translating complex data into actionable insights for organizational success.

How does a director of systems biology typically collaborate with cross-functional teams within an organization?

A Director of Systems Biology plays a pivotal role in bridging experimental biology, computational modeling, and data science. They frequently collaborate with research scientists, bioinformaticians, clinical teams, and external partners to design and interpret multi-omics studies. This role often leads interdisciplinary project teams, ensuring integration of diverse datasets and alignment of research goals with organizational strategy. Effective communication and leadership are essential, as the director must translate complex systems-level insights into actionable recommendations for both scientific and business stakeholders.

What is the difference between Director Systems Biology vs Senior Systems Biologist?

AspectDirector Systems BiologySenior Systems Biologist
CredentialsPhD in Biology, Bioinformatics, or related field; extensive experiencePhD or Master's in relevant field; significant research experience
Work EnvironmentLeads teams, collaborates with cross-functional departments, strategic planningConducts research, data analysis, experimental design
Employer & Industry UsageBiotech, pharma, research institutions, biotech startupsResearch labs, biotech companies, academic institutions
Search & Comparison IntentUnderstanding leadership roles, strategic responsibilitiesResearch-focused, technical expertise

The main difference between a Director Systems Biology and a Senior Systems Biologist lies in their responsibilities and seniority. The director oversees teams, strategic planning, and project management, while the senior biologist focuses on hands-on research and data analysis. Both roles require advanced degrees and experience, but the director's role is more leadership-oriented within the industry.

What cities are hiring for Director Systems Biology jobs?

Cities with the most Director Systems Biology job openings:

What are the most commonly searched types of Systems Biology jobs?

The most popular types of Systems Biology jobs are:

What states have the most Director Systems Biology jobs?

States with the most job openings for Director Systems Biology jobs include:

Director Systems Biology jobs near you
Infographic showing various Director Systems Biology job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 9% Part Time, 4% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Executive Director, Computational Systems Biology

Redwood City, CA • On-site

Revolution Medicines
See more jobs at Revolution Medicinesexternal

Full-time

Re-posted 20 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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