Computational Biology Internship - London

Posted 4 Days Ago
Be an Early Applicant
London, Greater London, England
1 Years Experience
Big Data • Biotech • Pharmaceutical
We are a clinical-stage biotechnology company decoding biology by integrating technological innovations across biology,
The Role
As a Computational Biology Intern, you will collaborate with a multidisciplinary team to analyze multi-omics data, contributing to drug development efforts. You will leverage programming and statistical skills to derive insights and solve open-ended problems using real-world data.
Summary Generated by Built In

Your work will change lives. Including your own. 

As an intern, you’ll have access to our data, and you’ll have the resources and independence to delve into problems that you’ll find interesting in addition to assigned projects. Thanks to our robust engineering infrastructure, you’ll get to spend less time data munging and more time science-ing.

The Role

As a computational biology intern, you will be collaborating with cross-functional teams of computational biologists, biologists, chemists, software engineers, and data scientists to help improve our understanding of the biology and chemistry present in our multi-omics data. In this position, your contributions will influence how we extract key insights from our multi-omics data to drive drug programs forward. 

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 computational biology/data science teams.

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

Location:

For the duration of your internship, you’ll be based in London, England.

Requirements

  • Passion for the company mission and comfort with answering open-ended questions
  • Ability to brainstorm and communicate with cross-functional teams
  • Strong foundation in programming and statistics, preferably in Python
  • Knowledge of biology/life sciences 
  • Currently enrolled in a graduate level program with projected graduation after the completion of your internship 
  • Experience working with large, high-dimensional datasets (preferred)

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 are 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 diverse Computational Biology & Data Science teams
  • Office benefits:
    • Free daily lunches
    • Commuting stipend (location specific)
    • Paid housing for candidates who require relocation for the term of their internship (location specific)
  • Intern cohort benefits (limited to summer interns)
    • Lunch Around Recursion (a weekly lunch with Recursionauts from functional groups outside the interns’ immediate environment)
    • Planned social activities
  • Opportunities to present your work include but are not limited to
    • End-of-internship poster symposium open to the entire company (summer interns)
    • Hub all-hands meetings (if timing doesn’t align with summer poster symposium)

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.

Top Skills

Python
The Company
HQ: Salt Lake City, UT
243 Employees
Hybrid Workplace
Year Founded: 2013

What We Do

We are a clinical-stage biotechnology company decoding biology by integrating technological innovations across biology, chemistry, automation, data science and engineering to industrialize drug discovery. We are leveraging new technology to create virtuous cycles of learning around datasets to build the next-generation biopharmaceutical company. It’s complex biology, decoded. While we are united in a common mission, Decoding Biology to Radically Improve Lives, our greatest strength lies in our differences: expertise, gender, race, disciplines, experience, and perspectives. Deliberately building and cultivating this culture is critical to achieving our audacious goals. We are proudly headquartered in Salt Lake City.

Why Work With Us

We are the leading AI/ML-driven drug discovery company, running +1.5 million experiments every week as we develop a map of human biology. This approach has created one of the largest, broadest and deepest pipelines of any technology-enabled drug discovery company.

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