Senior Scientist I, Statistical Genetics

Editas Medicine

Editas Medicine

Cambridge, MA, USA
Posted on Tuesday, May 7, 2024

At Editas, we’re driven by a collective purpose, to bring transformative and life changing therapies to people living with serious diseases with the greatest unmet needs. This fuels our drive to excel in scientific innovation, allowing us to harness the power and potential of CRISPR/Cas9 and CRISPR/Cpf1 (Cas12a) gene editing.

We believe our people are at the core of everything we do, and we’re committed to cultivating a culture where every individual feels valued and included. To do this, we strive to integrate belonging, inclusivity, diversity, and equity into every aspect of our organization.

Together, we are leading the way towards a healthier and more equitable future.

Position Summary

The Human Genetics and Genomics group at Editas Medicine is seeking a passionate scientist to lead the analysis of human genetic and ‘omic data to identify and validate targets and support development of CRISPR-based gene editing therapies. This individual will design and execute experiments that leverage rare-disease patient datasets, large-scale human genetic datasets (e.g. UK Biobank), catalogs of disease mutations (e.g. OMIM, ClinVar), and molecular data (e.g. RNA expression, proteomics) to understand the genetic etiology of severe diseases; identify therapeutic mechanisms amenable to Editas’ gene editing strategies; and characterize patient populations amenable to treatment. The individual will work collaboratively with peers in Human Genetics and Genomics, Computational Biology, Discovery, and Translational Sciences to advance early research and translational activities. This is an exciting opportunity to contribute to the development of cutting-edge precision genetic therapeutics for diseases with substantial unmet clinical need.

Key Responsibilities

As the Senior Scientist, Statistical Genetics, you will be responsible to:

  • Design and execute statistical analyses leveraging large-scale biobank data and/or rare disease genetic datasets, to understand the role of genetic variation in human disease and identify candidate therapeutic targets.
  • Integrate information from various genetics and ‘omics data sources to characterize regulatory mechanisms and pathways, design innovative therapeutic strategies to address a range of severe diseases, and characterize on-target risk for the proposed therapies.
  • Identify and onboard existing and new genetic and molecular datasets for disease cohorts and experimental models.
  • Contribute to building statistical genetics analysis capabilities, pipelines, and modules to enable high-throughput and reproducible analyses.
  • Collaborate with members of the statistical genetics and research informatics teams to implement methods to efficiently query large-scale human genetic data, ensure data integrity, and execute well-documented, robust and reproducible analyses.
  • Stay up to date with emerging methods, resources and developments in the field, and identify opportunities to expand or improve our capabilities to advance our pipeline.
  • Interpret, communicate results, and recommend next steps to internal and external stakeholders to support decision making with genomic insights.
  • Provide statistical genetics expertise to stakeholders across the organization.