
location_on127, Lakeview Avenue, Huron Village, West Cambridge, Cambridge, Middlesex County, Massachusetts, 02140, United States
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.
We are looking for a passionate and detail-oriented Research Associate to become an integral part of our Platform Technology team. This is an opportunity to contribute hands-on to an AI-driven drug discovery platform, generating the experimental data that directly informs the biological models powering our therapeutic pipeline. You will bring scientific curiosity and rigor to the bench, supporting the execution of molecular and sequencing-based assays that our computational and therapeutic teams rely on to advance program goals.
This role offers early-career professionals a meaningful foothold in a cross-functional discovery environment, with exposure to cutting-edge technologies spanning NGS workflows, liquid handling automation, and diverse RNA therapeutic modalities including ADAR editing, ASOs, siRNAs, and mRNAs. If you are eager to develop technical breadth while contributing to work that has real therapeutic impact, we encourage you to apply.
Work model: On-site
127, Lakeview Avenue, Huron Village, West Cambridge, Cambridge, Middlesex County, Massachusetts, 02140, United States
Cambridge, Massachusetts
Proficiency with liquid handling platforms such as Hamilton, Beckman, or Bravo. Working familiarity with RNA therapeutic modalities such as ADAR editing, ASOs, siRNAs, or mRNA. Experience with mammalian cell culture, including transfection-based assays. Prior exposure to a biotechnology, pharmaceutical, or platform-driven research environment.
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