Senior Scientist, Statistical Genetics - 2443

Editas Medicine

Editas Medicine

Cambridge, MA, USA
Posted on Wednesday, January 31, 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 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, you will be responsible for:

  • Spearhead creative experimental approaches to leverage rare disease genetic data / learnings and large-scale population datasets, to understand the role of genetic variation in human disease and phenotypic variability
  • Integrate information about regulatory mechanisms and other ‘omics data to characterize pathways and design innovative therapeutic strategies to address a range of severe diseases
  • Leverage large-scale human genetic and ‘omic data to validate mechanism of action and characterize on-target risk for gene editing therapies
  • Use rare disease and large-scale human genetic data to inform clinical trial design and genetic inclusion criteria
  • Interpret and communicate findings to internal and external stakeholders to support pre-clinical decision-making with genomic insights
  • Provide general genetic expertise to stakeholders across the organization to support preclinical, clinical, and commercial activities
  • Work with members of research informatics team to ensure data integrity and well-documented, reproducible analysis