Vice President, Translational Computational Biology

Role Summary

Vice President, Translational Computational Biology. Responsible for setting strategy and driving the implementation of connecting data from genome-scale -omics platforms with population- and patient-derived genetics, leveraging advanced analytics including ML/data science to identify and validate biological and chemical hypotheses throughout the drug development funnel. This onsite role is based in Salt Lake City, New York City, or London with a hybrid schedule, requiring in-office presence at least 50% of the time.

Responsibilities

• Identify and set the strategy on technological and analytical advances in the computational biology field that will directly advance Recursion's portfolio and its mission to industrialize drug development
• Mentor teams to develop technologies to address specific questions that move multiple drug program and partnership projects forward
• Collaborate with Recursion's research-oriented teams to evaluate new technologies and decide on which to transition toward scaled production
• Lead the strategy and implementation efforts to identify optimal disease and patient linkages to our -omics phenotypes, along with the discovery and validation of translational biomarkers and patient selection solutions to drive precision medicine for our therapeutic programs
• Be a key member to contribute to the strategy for the collection of patient genetic and biomarker data in Recursion clinical trials for reverse translation, while also contributing to the strategy in support of the Recursion OS and clinical portfolio, building and nourishing strong links between computational biology and the larger cross-functional organization
• Collaborate with groups in discovery biology, chemistry, and data science to rapidly deliver a portfolio of therapeutic programs to the clinic
• Guide teams of computational biologists and data scientists in executing the above strategy to industrialize the process of turning maps into medicines

Qualifications

• 7+ years applying expertise in computational biology in service of advancing drug discovery and drug development programs. Particular consideration will be given to candidates with experience in oncology
• Experience working in partnerships with both wet-lab and computational components
• Demonst-rated ability to manage multiple project teams with cross-functional delivery goals
• A track-record for pairing large-scale patient/population datasets in a closed loop with high-throughput in vitro functional genomics to transform the process of identifying targets, models, and biomarkers with patient connectivity and validity
• Experience in developing and implementing patient stratification / precision medicine solutions in clinical development leveraging multi-omics and clinical data and well versed in regulatory considerations
• Strong leadership of a multi-level management tree fostering an inclusive and diverse group with a passion for developing world-class talent in a matrixed environment
• Curiosity and the professional skill-set to excel in an open, highly collaborative, and growth-oriented environment