Your work will change lives. Including your own. 

The Impact You’ll Make

As a Staff Machine Learning Scientist , you will be contributing to dynamic short to medium term projects that derisk novel capabilities with potential to reshape Recursion’s roadmap. You will conceptualize and and directly contribute to  the development of novel ML models across a range of data types including vision,  genomics, other Omics and clinical data that will power a diverse range of use cases in drug discovery. By leveraging your experience in machine learning, drug discovery, software engineering, and data, you will:

  • Conceptualize and scope 3-6 month high impact projects for cross-functional workstreams
  • Directly contribute to and coordinate execution of these projects
  • Mentor other data and machine learning scientists
  • Interface with a diverse range of collaborators, including company leadership (VP+)
  • Work within dynamic, interdisciplinary teams of biologists, product managers, data and ML scientists, software engineers, and more
  • Build and curate large scale datasets for training machine learning models across multiple modalities
  • Develop new algorithms and architectures and train large models on these datasets
  • Explore properties of the resulting representation model on a range of benchmarks
  • Develop new benchmarks for interpreting how models are behaving
  • Work with other teams to support deploying these models to Recursion’s platform

Location:

Toronto HQ | SLC HQ | expected to be on-site 50% of the time

The Team You’ll Join 

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.

Recursion is an Equal Opportunity Employer that values diversity and inclusion.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. 
Recursion welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.

Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.

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Equal Opportunity Employment Information (Completion is Voluntary)

Recursion is a proud equal opportunity employer. 

We have a fundamental belief that we can only achieve our mission if we truly commit to diversity, equity and inclusion. We believe diversity makes us stronger, and it's our responsibility to build an equitable and inclusive workplace where our diverse talent thrives.  To this end, we invite you to self-identify your race/ethnicity and gender. This information will be kept confidential and will not be shared with the hiring managers or otherwise considered as part of your application. Submission of this information is voluntary and refusal to provide any or all of the information requested will not subject you to any adverse treatment.  If you are willing, please let us know if you identify as belonging to any of the following groups:

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