Staff Machine Learning Scientist

Key Skills

CUDA kernels, Data science techniques, Docker, Drug Discovery, Google BigQuery, Google Cloud Platform (GCP), Kubernetes-K8s, Linux Operating system, Machine learning techniques, NumPy, Pandas, PyTorch

Job Description

You will be joining Inception Labs, a research and development team within Recursion. This team is a cross-functional group of exceptional biologists, engineers, product managers, machine learning scientists, computational biologists, and data scientists. Together, we are working to prove out novel technologies including new biological assays and data modalities, statistical and ML techniques, and computational approaches for multimodal data. This team works rapidly on a project-by-project basis to either prove or disprove the value and feasibility of these new ideas and approaches.

Recursion has built a unique dataset (over 1 million unique biological perturbations profiled in a high-dimensional biological assay, making up nearly 20 PB of highly-relatable data) and a unique approach to phenotypic drug discovery using our inference-based Recursion Map to predict tens of billions of relationships between disease models and therapeutic candidates. Additionally, we’ve generated additional large-scale Omics datasets to complement our phenomics data. Recently, Recursion has also gained access to large numbers of anonymized patient records including medical imaging and molecular profiling artifacts to guide our understanding of disease mechanisms. The capabilities you bring to the Inception Labs team will help us scale our machine learning models using these and other data sets to develop net-new capabilities that don’t currently exist!

The Experience You’ll Need

• Expert knowledge in machine learning theory & practice and its applications to challenges in biological or medical science including the ability to:
• Ideate and scope net-new impactful ML-based projects that can impact drug discovery
• Coordinate with stakeholders and teammates as well as contribute directly to execute on projects
• Develop net-new algorithms and architectures, particularly leveraging self-supervised and multi-modal learning
• Experience with one of but ideally multiple types of biological data (microscopy, histology, transcriptomics, clinical data)
• Run quick and focused computational experiments evaluating project feasibility
• Work closely with biologist to develop new training and benchmarking datasets
• Interpret and develop benchmarks for assessing model performance
• Tools: PyTorch, NumPy, Pandas, GCP, Hybrid Cloud, Linux, CUDA, Docker, Kubernetes, BigQuery, large scale distributed systems

How You’ll be Supported

• You will join an interdisciplinary team that’s having a major impact internally and externally
• You will contribute to conference publications and have the opportunity to attend major ML conferences
• You will collaborate with other cutting edge teams at Recursion, including Valence Labs at Mila in Montreal

LI-EP1

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.

Recursion spends time and energy connecting every aspect of work to these values. They aren’t static, but regularly discussed and questioned because we make decisions rooted in those values in our day-to-day work. You can read more about our values and how we live them every day here.

More About Recursion

Recursion is a clinical stage TechBio company leading the space by decoding biology to industrialize drug discovery. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously expands one of the world’s largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale — up to millions of wet lab experiments weekly — and massive computational scale — owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine.

Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in London, Toronto, Montreal and the San Francisco Bay Area. Learn more at www.Recursion.com, or connect on X (formerly Twitter) and LinkedIn.