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# VP of Computational Biology – Pharmaceutical Giant – South San Francisco, CA


 
Vice President (VP) of Computational Biology – Pharmaceutical Giant
Are you a scientific innovator with deep expertise in computational biology and a passion for transforming data into life-changing therapies? We are seeking a Vice President of Computational Biology to lead an advanced research organization within a global pharmaceutical leader located in South San Francisco, CA. This pivotal role offers the opportunity to shape scientific strategy, drive accelerated drug discovery, and influence pipeline decisions across multiple therapeutic areas. If you excel at bridging data science with biology and thrive in high-impact environments, this position is designed for you.
Lead Breakthrough Drug Discovery in South San Francisco
A top-tier pharmaceutical giant headquartered in South San Francisco, CA is seeking a Vice President of Computational Biology to spearhead its AI- and data-powered research initiatives. The ideal candidate will have significant leadership experience in computational biology or bioinformatics within biotech or pharma, strong expertise in multi-omics data integration, and a proven record of enabling target discovery and development. If you are excited by the challenge of building innovative platforms, guiding cross-functional scientific teams, and driving decisions that advance novel therapeutics to patients worldwide, this is your opportunity to make a transformative impact on human health.
Key Responsibilities of the VP of Computational Biology – Pharmaceutical Industry
Scientific & Strategic Leadership:
Define and execute the vision for computational biology strategy across drug discovery and development. The VP of Computational Biology will lead innovative initiatives that integrate multi-omics, AI, and advanced data science to accelerate therapeutic breakthroughs.
Research & Drug Discovery Enablement:
Guide computational modeling, genomics, proteomics, and machine learning approaches to identify new drug targets. Ensure that computational insights directly influence discovery decisions and program prioritization.
Cross-Functional Collaboration:
Partner with biology, chemistry, clinical development, data science, and leadership teams to integrate computational pipelines and drive cross-disciplinary innovation. Translate complex data into actionable biological insights that support portfolio advancement.
Platform & Technology Development:
Oversee the development and scaling of computational platforms, data infrastructures, and analytical tools that support discovery programs. Evaluate new technologies and implement best-in-class computational methodologies.
Team & Talent Leadership:
Build, mentor, and inspire high-performing scientific teams across bioinformatics and data biology functions. Attract top computational biology talent, foster a culture of scientific excellence, and promote knowledge sharing.
Data Integration & Interpretation:
Drive integration of multi-omics datasets, patient data, and real-world evidence to support predictive modeling and biomarker discovery. Ensure high standards of data quality, reproducibility, and scientific rigor.
Stakeholder Communication & Reporting:
Communicate strategic insights, research progress, and key achievements to executive leadership, scientific advisory boards, and external partners. Present data-driven recommendations to influence decision-making.
External Innovation & Partnerships:
Identify and manage collaborations with academic research organizations, biotech partners, and technology vendors to expand the company’s computational capabilities. Lead due-diligence efforts for platform and partnership evaluations.
Regulatory & Compliance Oversight:
Ensure that all computational frameworks and data processes follow regulatory, scientific, and ethical standards. Maintain rigorous compliance for data governance and security across global research operations.
What the Client is Looking for in You
As the VP of Computational Biology, the client seeks an exceptional scientific leader with deep expertise in leveraging computational approaches to accelerate drug discovery and development. You should be a visionary executive who thrives in fast-paced research environments and possesses the ability to guide strategy, build high-impact teams, and translate complex biological data into actionable insights that drive therapeutic innovation.
Proven Leadership in Computational Biology & Drug Discovery
The client is looking for a senior leader with extensive experience in computational biology, bioinformatics, or systems biology within biotech or pharmaceutical settings. You should have a strong track record of integrating multi-omics, machine learning, and data-driven methodologies to enable target identification, biomarker discovery, and pipeline progression. Experience leading computational strategies that directly influence R&D decisions is highly valued.
Strategic Thinker with a Vision for Scientific Innovation
As the VP of Computational Biology, you must demonstrate the ability to define long-term scientific strategies that shape discovery and development roadmaps. The ideal candidate will have experience evaluating emerging technologies, building scalable data platforms, and deploying predictive modeling tools. The client values leaders who can anticipate scientific trends and proactively introduce innovative solutions.
Strong Data & Analytical Acumen
The client seeks a data-driven leader who can interpret complex biological datasets and guide teams toward high-quality scientific decisions. You should have deep expertise in genomics, proteomics, or AI-driven computational pipelines, along with a strong understanding of data architecture, algorithm development, and statistical modeling. The ability to communicate insights clearly to non-technical stakeholders is essential.
Ability to Build and Lead High-Performing Scientific Teams
Team leadership is central to this role. The client is looking for a VP of Computational Biology who can attract, mentor, and retain world-class scientists, bioinformaticians, and data engineers. You should foster a culture of collaboration, innovation, and scientific excellence while empowering teams to operate with autonomy and accountability.
Collaborative Partner Across Research & Development
You should be highly skilled in cross-functional partnership, working closely with biology, chemistry, clinical development, AI/ML, and executive leadership. The ideal candidate will understand how to break silos, communicate complex findings, and influence strategic decisions that shape the R&D pipeline.
Commitment to Ethical, Regulatory, and Scientific Integrity
Finally, the client values a leader who holds the highest standards for scientific rigor, compliance, and data governance. You should be committed to reproducibility, ethical data use, and regulatory best practices to support research excellence and ensure integrity throughout discovery programs.
FAQs About the Role – VP of Computational Biology – Pharmaceutical Industry
1. What are the key responsibilities of the VP of Computational Biology?
As the VP of Computational Biology, you will lead the computational strategy behind drug discovery and development. You will oversee multi-omics data integration, predictive modeling, and computational pipelines to support target identification, biomarker discovery, and portfolio decision-making. You will also guide cross-functional collaborations and mentor high-performing scientific teams.
2. What qualifications and experience are required for this position?
The ideal candidate should have extensive leadership experience in computational biology, bioinformatics, systems biology, or a related field within biotech or pharma. A Ph.D. in Computational Biology, Bioinformatics, or a similar discipline is strongly preferred. You should demonstrate success in applying data science and machine learning to biological research and have a proven record of influencing therapeutic development.
3. What leadership qualities are essential for success in this role?
The client seeks a visionary scientific leader with strong analytical thinking, strategic decision-making skills, and the ability to inspire multidisciplinary teams. As VP of Computational Biology, you must communicate complex data insights clearly, collaborate effectively with stakeholders at all levels, and foster a culture of scientific excellence and innovation.
4. What challenges can I expect in this position?
Typical challenges include managing large-scale biological datasets, integrating new technologies, and aligning computational capabilities with evolving drug discovery priorities. You will need to balance short-term research needs with long-term platform development while maintaining scientific rigor, data quality, and regulatory compliance.
5. How will my work impact the overall success of the organization?
Your contributions as VP of Computational Biology will directly influence the success of drug discovery programs and pipeline advancement. Your ability to generate actionable insights from complex biological data will accelerate decision-making, reduce research timelines, and support the development of breakthrough therapies for patients.
6. What is the company’s scientific culture and work environment like?
The organization fosters a collaborative, innovative, and mission-driven environment. You will work alongside world-class scientists who share a passion for using data and technology to solve complex biological challenges. The culture encourages curiosity, continuous improvement, and scientific integrity.
What Remuneration Can You Expect from This Job?
As the VP of Computational Biology at a leading pharmaceutical giant in South San Francisco, CA, you can expect a highly competitive and rewarding compensation package designed to attract elite scientific and data-driven leadership talent. The remuneration for this role typically includes:
1. Base Salary
The base salary for a VP of Computational Biology in the pharmaceutical and biotech sector is among the highest in scientific leadership roles. Depending on experience, organizational scale, and portfolio impact, base salary typically ranges from $260,000 to $400,000+ annually, with top-tier global pharma companies offering even higher ranges.
2. Performance-Based Bonuses
In addition to a competitive salary, this role includes lucrative annual performance bonuses. These bonuses are tied to key scientific and business outcomes, such as pipeline milestones, platform development, team performance, and overall R&D progress. Bonus percentages can range from 30% to 75% of base salary, depending on personal and company achievements.
3. Equity & Stock Options
Most pharmaceutical giants offer equity-based incentives, including stock options, restricted stock units (RSUs), or long-term incentive shares. These incentives align leadership success with scientific and shareholder value creation, and can represent a significant portion of total compensation.
4. Long-Term Incentive Plans (LTIPs)
Many companies include LTIPs to reward strategic long-term impact, such as advancing discovery platforms, accelerating candidate progression to clinical stages, or delivering key scientific breakthroughs. These programs further increase overall earnings potential year over year.
5. Executive Benefits & Perks
As a senior executive, you can expect a comprehensive suite of executive benefits, including:

Premium medical, dental, and vision coverage
401(k) or retirement plan with employer contributions
Executive wellness and professional development programs
Relocation assistance (if applicable)
Travel and conference allowances
Access to executive networking and leadership resources

6. Signing Bonus & Relocation Support
Top candidates for a VP of Computational Biology may be offered a signing bonus or relocation package, especially when relocating to the biotech hub of South San Francisco. These incentives can range from $25,000 to $150,000+, depending on seniority and hiring urgency.
Total Compensation Potential
When combining base salary, bonuses, equity, and incentives, total compensation for the VP of Computational Biology can reach $500,000 to $1,000,000+ annually, with higher packages available at publicly traded or high-growth biotech/pharma organizations.
How to Apply
If you are a visionary scientific leader with expertise in computational biology, data-driven research, and drug discovery, we encourage you to apply for the VP of Computational Biology role in South San Francisco, CA. This is a rare opportunity to shape computational strategy at a global pharmaceutical giant, lead breakthrough innovation, and influence life-changing therapies for patients worldwide.
To apply, please submit your resume and a cover letter detailing your experience in computational biology, multi-omics integration, drug discovery research, data science leadership, and scientific platform development. Be sure to highlight your ability to lead cross-functional teams, drive strategic decision-making, and translate complex biological data into actionable insights.
This position offers a high-impact leadership role where you will directly influence R&D direction, accelerate therapeutic development, and guide next-generation computational capabilities. Apply today to advance your career as the next VP of Computational Biology and play a crucial role in transforming human health.
For more information or to explore similar executive-level biotech and pharma opportunities, visit our AI in Pharma Executive Search Firm page.
Tags:
VP of Computational Biology | Computational Biology Leadership | Bioinformatics Executive Jobs | Pharma R&D Strategy | Drug Discovery Innovation | Multi-Omics Data Science | Life Sciences Executive Recruitment