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At Repare Therapeutics, we are always looking for highly innovative and collaborative individuals who are passionate about discovering revolutionary cancer treatments.

If you are interested in joining the Repare Therapeutics team, please fill out the form below and submit your CV.

Scientist, Computational Biology and Bioinformatics

POSITION DESCRIPTION

Position Scientist, Computational Biology and Bioinformatics

Company Repare Therapeutics

Flexible Location Cambridge, MA, USA or Montreal, Quebec, Canada

Website http://www.reparerx.com/

 

Scientist, Computational Biology and Bioinformatics

Repare Therapeutics is a 2017 “Fierce 15” startup backed by tier-one strategic and institutional biotechnology investors (http://www.reparerx.com).  Repare develops novel, precision oncology drugs that target specific vulnerabilities of tumor cells. This is accomplished by combining proprietary, high throughput, CRISPR‐enabled genome-scale synthetic lethal screenings for discovery of targets and patient selection biomarkers with high‐resolution protein crystallography, computational biology and clinical informatics. Founded by leading experts at the forefront of DNA damage and repair cancer biology and genome-scale synthetic lethal screening technologies, Repare has assembled a seasoned team of industry veterans and a world-class Advisory Board.

We now have an outstanding opportunity available for a motivated and accomplished computational scientist who would like to get in early and grow with the company. As a member of the Computational Biology/Bioinformatics team, the successful candidate will develop and apply advanced data analysis approaches to impact critical decisions in high-throughput functional genomics screening to identify drug targets and translational research to inform clinical development strategy.  The individual will build internal capabilities and leverage external capabilities to interrogate large-scale datasets, including next generation sequencing, CRISPR screening, and cancer Omics data. Moreover, the individual will execute analyses to generate hypotheses for target identification/validation and clinical patient selection.  A critical component of the job will be the close collaboration with internal drug discovery teams and external investigators.

RESPONSIBILITIES 

  • Develop and implement a computational platform for genomics-based target discovery and translational research.
  • Develop data analysis and management pipelines for high-throughput functional genomics studies across all stages of the process – from automation and QC of raw data processing to the design of databases and developing methods for results interpretation.
  • Apply and develop data-mining tools and techniques for integrative analysis and visualization of multi-dimensional data sets for target discovery/validation.
  • Execute in-depth analyses of cancer Omics and experimental data to develop or test hypotheses for indication and patient selection in collaboration with bench scientists in translational research.
  • Acts as an expert consultant and scientific resource on computational and statistical topics.

 

QUALIFICATIONS

  • MS/PhD in Computational Biology, Bioinformatics, or related fields with 3+ years of experience.
  • Proficiency with R, Python or other scripting language for statistical computing and graphics.
  • A solid understanding of molecular biology; experience in DNA Damage and Repair is highly desirable.
  • Demonstrated experience with computational genomics, bioinformatics databases and software, and statistical analysis of large-scale biological data.
  • Familiarity with parallel computing, database (e.g., SQL) and Amazon Web Services.
  • Excellent communication skills. Ability to communicate in an open, clear, timely and consistent manner.
  • Ability to work as a team member in a dynamic, fast-paced biotech environment where you can make a clear impact.
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