Principal Computational Biologist - Patient Genetics

This role is seated within a small, innovation‑centric team at Recursion with the mission of entering entirely new frontiers of modeling, understanding and treating disease. It is dedicated to investigating new technologies and ideas that will drastically improve the drug discovery process, focusing on quickly reaching decisive endpoints. In this startup‑like environment, you will take on a wide range of scientific responsibilities and join a team of dedicated scientists that all lead change through cross‑functional collaboration and direct scientific engagement. You will report to the VP of Industrialized Drug Discovery and join flexible teams based on the projects at hand.

In this role, you will:

• Conceptualize and drive execution on the development of innovative AI / ML methodologies that integrate concepts from both forward and reverse genetics approaches to drastically improve the extraction of truly causal disease biology beyond what is possible with patient genetics alone.
• Integrate new models throughout target identification, patient stratification, biomarker strategy and translational science.
• Collaborate with other leaders across biology, chemistry, clinical development and data science to directly impact the quality and rate of advancement of our therapeutic pipeline.

Location

This is an onsite, hybrid position that can be based in Salt Lake City, Toronto or Montreal. Relocation support is available for qualifying candidates.

What You’ll Need

• A deep dissatisfaction with the current technology available for converting human genetic data into new medicines.
• A successful candidate will be comfortable in the unknown, possess a desire to carry projects from start to finish, and showcase an excitement to instigate change.
• 7+ years applying expertise in computational biology to problems in functional and statistical genetics with high-dimensional ‘omics data, particularly aimed at problems in target identification and / or biomarker identification for patient stratification and response prediction.
• A strong understanding of modern ML techniques; able to lead and directly develop new modeling approaches.
• An understanding of the overall processes and challenges in drug discovery.

The Values That We Hope You Share

• We Care: We care about our drug candidates, our Recursionauts, their families, each other, our communities, the patients we aim to serve and their loved ones. We also care about our work.
• We Learn: Learning from the diverse perspectives of our fellow Recursionauts, and from failure, is an essential part of how we make progress.
• We Deliver: We are unapologetic that our expectations for delivery are extraordinarily high. There is urgency to our existence: we sprint at maximum engagement, making time and space to recover.
• Act Boldly with Integrity: No company changes the world or reinvents an industry without being bold. It must be balanced; not by timidity, but by doing the right thing even when no one is looking.
• We are One Recursion: We operate with a ‘company first, team second’ mentality. Our success comes from working as one interdisciplinary team.