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Scientist , Computational Biology

Job in Boston, Suffolk County, Massachusetts, 02298, USA
Listing for: CRISPR Therapeutics, Inc.
Full Time position
Listed on 2026-11-05
Job specializations:
  • Research/Development
    Research Scientist, Biotechnology, Data Scientist
Salary/Wage Range or Industry Benchmark: 120000 - 130000 USD Yearly USD 120000.00 130000.00 YEAR
Job Description & How to Apply Below
Company Overview

Job Description:

Company Overview Founded over a decade ago, CRISPR Therapeutics is a leading biopharmaceutical company focused on developing transformative gene-based medicines for serious human diseases. The Company has evolved from a pioneering research-stage organization into an industry leader, marking a historic milestone with the approval of CASGEVY® (exagamglogene autotemcel [exa-cel]), the world’s first CRISPR-based therapy, approved for eligible patients with sickle cell disease and transfusion-dependent beta thalassemia.

CRISPR Therapeutics is advancing a broad and diversified pipeline across hemoglobinopathies, cardiovascular, autoimmune, oncology, regenerative medicine and rare diseases. The Company continues to expand its leadership in gene editing through the development of SyNTase™ editing, a novel and proprietary gene‑editing platform designed to enable precise, efficient, and scalable gene correction. To accelerate and expand its impact, CRISPR Therapeutics has established strategic collaborations with leading biopharmaceutical partners, including Vertex Pharmaceuticals.

CRISPR Therapeutics AG is headquartered in Zug, Switzerland, with its wholly‑owned U.S. subsidiary, CRISPR Therapeutics, Inc., and R&D operations based in Boston, Massachusetts and San Francisco, California.

Position Summary

We are seeking a Computational Biology Scientist to join the Genomics and Computational Biology team at CRISPR Therapeutics. The scientist in this role will apply computational genomics to advance next-generation gene editing therapies toward the clinic, including characterizing gene‑editing safety, tackling challenging bioinformatics and computational biology problems, and maintaining and developing the computational infrastructure, analysis platforms, and internal web applications that support this work.

The successful candidate will collaborate closely with cross‑functional research groups across the organization. The position requires strong computational biology and genomics skills, scientific rigor, attention to detail, and a passion for creating new medicines for patients.

Responsibilities
  • Lead computational biology and genomics activities in a cross-functional drug development setting
  • Develop and implement novel computational biology pipelines and methods in close collaboration with cell/molecular biologists to support therapeutic development and research activities
  • Perform computational analyses to thoroughly characterize off‑target gene editing to ensure the safety of CRISPR-based drug products
  • Generate and test hypotheses on genome-scale data using analytical and statistical methods
  • Author scientifically rigorous research reports to support IND submissions and other regulatory filings, and routinely present scientific findings to leadership to guide decision‑making for therapeutic programs
  • Maintain and develop the computational infrastructure and platforms used for reproducible genomic data analysis, including dedicated cloud computing environments
  • Maintain and develop internal web applications that make analysis methods and results accessible to scientific stakeholders
Minimum Qualifications
  • Ph.D. in computational biology, bioinformatics, genomics, computer science, or a related field, with 0-2+ years of industry experience. An M.S with an exceptional track record and eight or more years of relevant experience will also be considered
  • Demonstrated record of developing successful computational pipelines for high-throughput DNA sequencing data and of using common bioinformatics tools (e.g., BWA, SAMtools, BEDTools, GATK, IGV)
  • Proficiency in Python is essential
  • Experience with Linux and with handling large-scale genomic datasets, and working knowledge of the…
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