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Scientist I, Computational Biology

CRISPR Therapeutics
Cambridge, Massachusetts, US
Closing date
Sep 9, 2021

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Academic / Research
Informatics / GIS
Genetics, Biology
Salary Type
Employment Type
Full time
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Company Overview

CRISPR Therapeutics is a leading gene editing company focused on developing transformative gene-based medicines for serious diseases using its proprietary CRISPR/Cas9 platform. CRISPR/Cas9 is a revolutionary gene editing technology that allows for precise, directed changes to genomic DNA. CRISPR Therapeutics has established a portfolio of therapeutic programs across a broad range of disease areas including hemoglobinopathies, oncology, regenerative medicine, and rare diseases. To accelerate and expand its efforts, CRISPR Therapeutics has established strategic collaborations with leading companies including Bayer, Vertex Pharmaceuticals and ViaCyte, Inc. CRISPR Therapeutics AG is headquartered in Zug, Switzerland, with its wholly-owned U.S. subsidiary, CRISPR Therapeutics, Inc., and R&D operations based in Cambridge, Massachusetts, and business offices in San Francisco, California and London, United Kingdom.

Job Summary

We seek a motivated Computational Biologist/Bioinformatics Scientist with strong collaboration and communication skills to join the Genomics and Computational Biology team at CRISPR therapeutics. A scientist in this role will lead genomics activities for multiple therapeutic programs in close collaboration with wet-lab research groups. The role also provides opportunities to develop exploratory high-throughput synthetic biology tools focused on improving our gene-editing platform.

  • Lead genomics activities for therapeutic programs by providing bioinformatics support, designing genome-scale experiments, analyzing NGS data, and authoring regulatory documents
  • Design and implement computational biology pipelines and algorithms in collaboration with other computational biology scientists and bioinformatics engineers to support therapeutic development and research activities
  • Develop NGS-based high-throughput assays to support platform research activities
  • Communicate scientifically rigorous findings via oral and written communications, visualizations, and presentations

Minimum Qualifications
  • Ph.D. in quantitative or basic science (computational biology, bioinformatics, computer science, genetics, chemistry, physics, mathematics preferred)
  • Experience in developing computational pipelines to analyze DNA and RNA high-throughput sequencing data and usage of common bioinformatics tools (e.g. bwa, BEDtools, GATK, IGV)
  • Demonstrated ability to design and analyze quantitative ‘omics or synthetic biology experiments in a hypothesis-driven research environment
  • Proficiency with Python and/or R is essential; familiarity with other languages such as C++ and MATLAB is also helpful
  • Ability to work independently and successfully in a matrix environment, prioritize and manage multiple tasks simultaneously, integrate cross-functional issues, and balance competing priorities effectively

Preferred Qualifications
  • Previous experience with analysis of ‘omics data to understand biological relevance and disease mechanisms
  • Experience working in close collaboration with cell/molecular biologists and performing computational analyses to inform experimental design to answer therapeutic or research questions
  • Proficiency with handling large-scale genomic data in a Linux and/or cloud environment (e.g. AWS, DNAnexus)
  • Proficiency with statistical methods and/or machine learning
  • Familiarity with molecular research techniques (qPCR, ddPCR, NGS library prep, molecular cloning) and gene editing (CRISPR/Cas9)
  • A high degree of energy, accuracy, attention to detail, and a passion for creating transformative gene-based medicines for patients with serious diseases
  • Experience working in fast-paced team environments (industry experience is a plus)

CRISPR Therapeutics, Inc. is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation or any characteristic protected under applicable law.

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