Executive Director, Computational Systems Biology
Core
Lead the scientific and strategic direction of systems biology research and preclinical computational biology initiatives to inform treatment strategies and guide patient stratification for RAS-addicted cancers.
Role type
Executive Director, Head of Research Computational Biology
Builds
Proprietary insights into RAS mutant tumor biology and inhibitor mechanisms of action to support a pipeline of RAS(ON) and targeted oncology therapeutics.
Domain
Oncology / Systems Biology / Computational Biology
Deliverable
production ML models
Required skills
Systems biology, computational biology, bioinformatics, multi-omics data integration, single-cell technologies, spatial transcriptomics, proteomics, epigenomics, R, Python, high-performance computing (HPC), cloud platforms (AWS, Azure, GCP), workflow management (Snakemake, Nextflow), MLOps, generative AI
Preferred skills
Oncology research experience, academic and industry collaboration, intellectual property strategy
Technologies
AWS, Azure, GCP, Snakemake, Nextflow, R, Python, Perl, C/C++, Java
Responsibilities
Develop and implement long-term strategy for research systems biology and bioinformatic activities; Lead and supervise a team of computational biologists and bioinformaticians; Work across functions to support advancement of programs from early discovery into clinical development; Direct the development and application of cutting-edge statistical analysis, AI/ML methods, and MLOps principles; Cultivate and manage academic and industry collaborations, including CRO partnerships.
Seniority
Executive, strategic leadership & team management