Repare Therapeutics is a 2017 “Fierce 15” startup backed by tier-one strategic and institutional biotechnology investors (http://www.reparerx.com/news). Repare develops next generation, precision oncology drugs that target specific vulnerabilities of tumor cells in clearly defined patient populations. Founded by leading experts at the forefront of DNA damage and repair (DDR) cancer biology and genome-scale synthetic lethal screening technologies, Repare has assembled a seasoned team of industry veterans and a world-class Advisory Board.
Repare currently has an outstanding opportunity available for a motivated and accomplished computational scientist. The successful candidate will work closely with biologists, chemists, and translational scientists to impact critical decisions across all stages of drug R&D, from target identification, patient stratification to clinical development. If you are aspired to become an expert of drug discovery and development, experienced in generating novel insights by combining biology and analysis of genome-scale large data, and savvy with computational techniques in statistics and mathematics, you will thrive in our team-oriented, fast-paced, dynamic environment!
Job title will depend on the experience of the candidate.
– Collaborate with internal and external teams to develop and implement a state-of-the-art computational analysis platform for omics-based oncology drug discovery
– Apply and develop computational, statistical, and machine learning methods to mine multi-dimensional genome-scale data sets and derive biological insights
– Execute integrative analysis of cancer omics, clinical information and functional genomic data to support prioritization of targets and stratification of patients
– Perform systematic analysis to characterize the landscape and natural history of DDR pathways in human cancer
– In collaboration with discovery and translational science teams, propose testable hypotheses and experimental verification plans to support program decisions
– Acts as an expert consultant and scientific resource on computational and statistical topics
– PhD in Computational Biology, System Biology, Bioinformatics, or related fields
– 3+ years of post-graduate working experience in oncology drug discovery and/or translational setting
– Solid understanding of cellular and molecular biology and cancer biology. Experience on DNA Damage and Repair is highly desirable
– Strong hands-on programing skills (R, Python, Unix, SQL, etc)
– Solid understanding of probability and statistics
– Experience with network-based systems biology platforms and methodologies is highly desirable