Machine Learning Scientist - Computational Biology

Deep Genomics is pioneering the intersection of artificial intelligence and drug discovery, with a focus on transforming how new medicines are created. Based in Toronto and Cambridge, MA, the company leverages its proprietary AI platform to decode genome biology and identify novel drug targets and therapeutics.

The Machine Learning Scientist role offers a unique opportunity to work at the cutting edge of AI and computational biology. You'll be part of a multidisciplinary team developing state-of-the-art machine learning models for drug discovery, focusing on nucleic acid and protein-level mechanisms. The position suits both early-career researchers and seasoned experts who want to make impactful contributions to therapeutic development.

The role combines advanced machine learning expertise with biological applications, requiring strong technical skills in ML frameworks and a deep understanding of computational biology. You'll work in a collaborative environment, interfacing with ML engineering, target discovery, and experimental biology teams.

What makes this role exciting is the direct impact on developing therapies for genetic diseases. You'll be working with a team of experts in a company that's revolutionizing drug discovery through AI. The position offers the chance to contribute to groundbreaking research while working in an innovative environment at the intersection of multiple cutting-edge fields.

Deep Genomics provides a collaborative atmosphere where you can grow professionally while contributing to life-changing therapeutic advancements. The company values diversity and inclusion, offering accommodations for people with disabilities and fostering an environment where multidisciplinary expertise is celebrated.