Executive Director, Computational Systems Biology
Opportunity
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.
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.
Leverage clinical data from RVMD investigational agents to generate proprietary insights into RAS mutant tumor biology and RVMD RAS(ON) inhibitor mechanisms of action.
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.
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.