Staff Data Scientist

Your work will change lives. Including your own. 

The Impact You’ll Make

We are seeking a Senior Data Scientist to play a critical role on a fast-paced research and development team dedicated to generating and de-risking ideas that add fundamental new capabilities to Recursion’s tech-enabled drug discovery platform. You can expect to work on 1-2 early stage development projects at a time, in a fast-paced and exciting environment. You will take these projects from initial pilot work through onboarding to our larger technical and scientific platforms. On this team, you will

• Answer key scientific questions by analyzing the large and novel biological datasets generated as we onboard new experimental techniques and technologies
• Create and execute on 3-6 month high-impact projects as part of cross-functional workstreams
• Develop new statistical and ML approaches to understand, de-risk, and drive decisions about these new technologies
• Design critical experiments to make go/no-go decisions on R&D projects to assess project approaches, feasibility, and potential impact
• Partner closely with an interdisciplinary team of scientists and technologists to build tools and techniques that will drive the entire company forward
• Communicate with a diverse range of collaborators, including company leadership (VP+)
• Learn new ways to code, answer quantitative questions, and think about challenging science as needed
• Mentor other data scientists, computational biologists, and machine learning scientists

Location:

This position is based at our headquarters in Salt Lake City | 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.

The Experience You’ll Need

• A PhD in statistics, mathematics, data science, machine learning, computer science, a related quantitative discipline, or equivalent work experience
• Deep statistical, probabilistic, and ML expertise and intuition demonstrated by 5-7+ years of experience applying tools from those domains to answer questions in real-world datasets
• Strong preference for experience working with large, experimentally generated biological datasets (microscopy, genomic, proteomic, etc)  
• Experience independently developing and leading quantitative research projects in biology or chemistry as part of an interdisciplinary team
• High fluency with Python, including a strong background in scientific computing using the Python numerical and data stack
• Experience collaboratively writing high-quality, reusable code in Python in version-controlled environments
• Experience working collaboratively in an interdisciplinary environment and communicating complex technical concepts and ideas to broad audiences
• Comfort and familiarity working in a cutting-edge research environment where scientific and technological setbacks and failures are likely to occur

How You’ll be Supported

• You will be assigned a peer trail guide to support and mentor you as you onboard and get familiar with Recursion systems
• Receive real-time feedback from peers on analysis results, scientific methodology, and code quality and best practices
• Ability to learn from and participate regularly in scientific brainstorming sessions and discussions with the entire Inception Labs team
• Option to attend an annual conference to learn more from colleagues, network, and build your skillset

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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