Staff Data Scientist

4 weeks ago

Salt Lake City, United States RECURSION CO Full time

The Impact You’ll Make

We are seeking a Staff 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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