Repare Therapeutics (Nasdaq: RPTX) is a leading precision oncology company enabled by its proprietary synthetic lethality approach to the discovery and development of novel therapeutics. The Company utilizes its genome-wide, CRISPR-enabled SNIPRx® platform to systematically discover and develop highly targeted cancer therapies focused on genomic instability, including DNA damage repair. The Company’s pipeline includes its lead product candidate RP-3500, a potential leading ATR inhibitor, as well as a CCNE1-SL inhibitor and Polθ inhibitor programs.
Repare is growing at a rapid pace with challenging and exciting opportunities for experienced professionals. We look for scientific and business professionals who are highly motivated, collaborative and, above all, share our passionate interest in fighting cancer and improving patients’ lives.
We are seeking a Principal Bioinformatician with the passion and desire to become part of a fast-based, innovative team committed to developing breakthrough cancer therapies. The individual will be a self-starter that is effective in working independently as well as a collaborative team member. The successful candidate will help define and implement bioinformatics strategy and mentor junior team members. They will collaborate with members of our SNIPRx® platform team to identify novel synthetic-lethal targets. Furthermore, they will collaborate with translational scientists to help identify patient populations where our drugs are efficacious and effectively lead them into the clinic.
Act as an internal thought leader on data analysis for target discovery and translational efforts
Mentor junior bioinformatics team members in target discovery, translational bioinformatics, or cancer genomics
Implement and improve analytical approaches for target and biomarker identification
Collaborate with and support target discovery and translational teams by helping design experiments and analyze genomic datasets
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
In collaboration with discovery and translational science teams, propose testable hypotheses and experimental verification plans to support program decisions
PhD in Bioinformatics, Computational Biology, System Biology, or related fields
Four (4) years or more of bioinformatics research experience in the biotech or pharmaceutical industry, or
Six (6) years or more of post-doctoral academic bioinformatics experience in oncology target discovery, oncology translational sciences, or oncology medical genomics
Desired scientific experience
Cancer biology and cancer genomics. Experience with DNA Damage and Repair pathways is desirable.
Analysis of large cell line panel data such as CRISPR-Cas9 knockout screens and barcoded drug treatment screens (e.g. PRISM)
Familiarity with large genomic datasets such as the Cancer Dependency Map, The Cancer Genome Atlas, Genotype-Tissue Expression (GTEx)
Experience working closely with biology teams to design and analyze experiments.
Strong hands-on programing skills (R, Python, Unix, SQL, etc)
Solid understanding of probability and statistics.
Management experience highly desirable
Collaborative team player who is also an independent thinker; ability to develop a strong point of view combined with the openness to evolving that view based on new data and analysis
Ability to handle multiple projects and utilize judgement to prioritize tasks
Tagged as: Life Sciences
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