Scientist I/II, Computational Biology

Company Overview

Since its inception over a decade ago, CRISPR Therapeutics has transformed from a research-stage company advancing programs in the field of gene editing, to a company with a diverse portfolio of product candidates across a broad range of disease areas including hemoglobinopathies, oncology, regenerative medicine, cardiovascular and rare diseases. The Nobel Prize-winning CRISPR science has revolutionized biomedical research and represents a powerful, clinically validated approach with the potential to create a new class of potentially transformative medicines. To accelerate and expand its efforts, CRISPR Therapeutics has established strategic partnerships with leading companies including Bayer and 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, and business offices in London, United Kingdom.

Position Summary

We are seeking a talented and motivated Computational Biology Scientist with strong collaboration and communication skills to join the Genomics and Computational Biology team at CRISPR Therapeutics. A scientist in this role will tackle challenging bioinformatics and computational biology problems and work collaboratively with research groups to lead genomics activities that are required to support the development of transformative CRISPR/Cas9-based gene editing therapies.

Responsibilities

• Lead genomics activities in a cross-functional drug development setting
• Work in close collaboration with wet-lab scientists to design fit-for-purpose NGS assays and computational tools to support the characterization of CRISPR/Cas9-based components and drug products
• Generate and test hypotheses on genome-scale data using analytical and statistical methods
• Author scientifically rigorous research reports to support IND and other regulatory filings
• Present scientific findings to a broad audience, including leadership, to help inform decision-making for therapeutic programs

Minimum Qualifications

• Ph.D. in computational biology, bioinformatics, genomics, computer science or a related field
• Demonstrated record of developing computational pipelines to analyze DNA high-throughput sequencing data and usage of common bioinformatics tools (e.g. BWA, SAMtools, GATK, IGV)
• Proficiency with Python is essential; familiarity with other languages such as C++, R, 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
• A high degree of energy, accuracy and attention to detail, and a passion for creating transformative gene-based medicines for patients with serious disease

Preferred Qualifications

• At least 2 years of industry experience developing computational tools for gene editing
• Proficiency with development and application of computational methods to characterize on-/off-target, translocation, and gene expression profile of gene-edited cellular products
• Demonstrated record of authoring research reports to support regulatory filings
• Deep understanding of molecular biology and NGS library preparation techniques; demonstrated experience with Illumina and/or PacBio sequencing platforms
• Proficiency with handling large-scale genomic data in a Linux and/or cloud environment (e.g. AWS)

Competencies

• Collaborative – Openness, One Team
• Undaunted – Fearless, Can-do attitude
• Results Orientation – Delivering progress toward our mission. Sense of urgency in solving problems.
• Entrepreneurial Spirit – Proactive. Ownership mindset.

CRISPR Therapeutics believes in fostering a dynamic workplace that balances remote work flexibility with the benefits of in-person interactions. Our employees work at least three days on-site, creating a collaborative work environment, where we cultivate mentorship opportunities, increase cross-functional communication and offer opportunities for our employees to connect.