Data Science Intern (Summer 2025)

Recursion Pharmaceuticals; Salt Lake City (UT); On-site; USD 40,000 - 50,000; Full time

Benefits offered by this job

Paid internship

Paid housing for relocation

Free meals at Headquarters

Intern cohort activities

Job summary

Recursion Pharmaceuticals in Salt Lake City is offering a data science internship lasting 3 months. Interns will work closely with experts across various fields, including biology and software engineering, to analyze large datasets and solve pressing scientific questions.

This position provides mentorship, paid housing, and meals, ensuring a supportive environment for interns.

Qualifications

• Passion for the company mission and comfort with answering open‑ended questions.
• Projected graduation from degree program takes place after the completion of your internship.

Responsibilities

• Collaborate with cross‑functional teams of biologists, chemists, software engineers, and data scientists.
• Work with real‑world data to solve complex biological and chemical problems.

Skills

Statistics

Probability

Machine Learning

Python Programming

Communication

Team Collaboration

Education

Currently pursuing a degree in a relevant field

Job description

The Role

As a data science intern, you will be collaborating with cross‑functional teams of biologists, chemists, software engineers, and data scientists to help improve our understanding of the biology and chemistry present in our multi‑omics data. We will give you real‑world data to work with, and expect you to come up with creative approaches to solve the problems you’re presented with. You will work closely with both your intern mentor and the rest of the data science team.

Our Intern program lasts 3 months and can start any time, depending on your availability.

Requirements

• Passion for the company mission and comfort with answering open‑ended questions
• Ability to brainstorm and communicate with cross‑functional teams
• Strong foundation of statistics, probability, and machine learning
• Strong programming experience, preferably in Python
• Experience working with large, high‑dimensional datasets (preferred)
• Knowledge of biology/life sciences (preferred)
• Projected graduation from degree program takes place after the completion of your internship

The Data You’ll Work With (depending on your project)

• Over 25 petabytes of imaging data and deep learning features from hundreds of thousands of biological and chemical perturbations performed on billions of cells.
• Transcriptomic data from hundreds of biological and chemical perturbations.
• These data are produced with fully automated experimental protocols and come pre‑cleaned and easy to load into Python notebooks.
• More info and a small (for us) public release can be found here

How You Will Be Supported

• 3 months of full‑time, paid internship
• Ongoing mentoring and training from our Data Science team
• Paid housing in Salt Lake City for candidates that would require relocation for the term of their internship
• Free chef prepared meals at Headquarters every day of the week
• (for summer interns) intern cohort benefits such as lunch around Recursion, planned social activities, and an end‑of‑internship poster presentation open to the entire company

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.