Scientist I, Computational Biology

3 days left

CRISPR Therapeutics
Cambridge, Massachusetts, US
Jul 20, 2021
Jul 29, 2021
Biology, Genetics
Employment Type
Full time
Salary Type
Company Overview

At CRISPR Therapeutics, we are focused on developing transformative gene-based medicines for serious human diseases. We are rapidly translating our specific, efficient and versatile CRISPR/Cas9 gene-editing platform into therapies to treat hemoglobinopathies, cancer, diabetes and other diseases. Our multi-disciplinary team of world-class researchers and drug developers works every day to translate our CRISPR/Cas9 technology into breakthrough human therapeutics. Our lead program targeting the blood diseases β-thalassemia and sickle cell disease has entered clinical testing, and our immuno-oncology programs, focused on CRISPR/Cas9-edited allogeneic CAR-T cell therapies, have the potential to deliver a new generation of cancer therapies to patients.

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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