- Location
- Cambridge, MA
- Workplace
- Onsite
- Type
- Full-time
- Department
- In Vitro
- Experience
- 6+ years
- Education
- PhD
- Source
- Lever
Description
About Us
Deep Genomics is at the forefront of using artificial intelligence to transform drug discovery. Our proprietary AI platform decodes the complexity of RNA biology to identify novel drug targets, mechanisms, and therapeutics inaccessible through traditional methods. With expertise spanning machine learning, bioinformatics, data science, engineering, and drug development, our multidisciplinary team in Toronto and Cambridge, MA is revolutionizing how new medicines are created.
About the Role
We are seeking a Research Scientist to design and execute cell-based studies that evaluate the functional impact of oligo-based therapeutic modalities including ADAR-mediated RNA editing and siRNA on liver disease. You will build and apply advanced two-dimensional co-culture and three-dimensional liver disease models, connect editing measurements to biological outcomes, and help teams decide which therapeutic approaches to advance. This is a hands-on, individual contributor role based in Cambridge, Massachusetts. You will work closely with colleagues in Cambridge, MA and Toronto, Canada and may travel occasionally between sites. The position does not initially have direct reports.
Skills
Machine LearningData Science
Benefits
A collaborative and innovative environment at the frontier of computational biology, machine learning, and drug discovery. Highly competitive compensation, including meaningful stock ownership.Comprehensive benefits - including health, vision, and dental coverage for employees and families, employee and family assistance program. Flexible work environment - including flexible hours, extended long weekends, holiday shutdown, unlimited personal days.Maternity and parental leave top-up coverage, as well as new parent paid time off. Focus on learning and growth for all employees - learning and development budget & lunch and learns.Facilities located in the heart of Toronto - the epicenter of machine learning and AI research and development, and in Kendall Square, Cambridge, Mass. - a global center of biotechnology and life sciences.