Principal Research Associate en Deepgenomics

Deep Genomics is at the forefront of integrating artificial intelligence and complex biology to transform drug discovery. Our proprietary machine learning platform decodes the complexity of RNA biology to identify novel drug targets, mechanisms and therapeutics inaccessible through traditional methods. With expertise spanning machine learning, drug development, bioinformatics, data science, genetics and chemistry, our multidisciplinary team in Toronto and Cambridge, MA is revolutionizing how medicines are created.

 

The Principal Research Associate will join our Platform Biology team and will be a key player in driving our cutting-edge AI RNA therapeutics discovery platform. In this role, you will be responsible for helping characterize our novel compounds, including performing automated high-throughput arrayed screening, as well as downstream characterization of these molecules. Further, you will be instrumental in helping develop, optimise and implement novel cellular and protein assays to advance our internal therapeutics portfolio. The ideal candidate will have strong cell biology expertise, and hands-on experience using primary hepatocyte cells. Relevant knowledge of RNA modalities such as ADAR, ASO, mRNA and/or siRNAs is also highly beneficial. The successful candidate should demonstrate initiative, technical ownership and be able to thrive in a dynamic work environment with cross-functional teams working together to achieve company goals.

 

This position is onsite at our Cambridge, MA site.

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.