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Staff Computational Biologist, Immunology

London, England; New York, New York; Salt Lake City, Utah; Toronto, Ontario

Your work will change lives. Including your own. 

The Impact You’ll Make

As a key member of Recursion's partnership-facing data science team, you will be at the forefront of reimagining drug discovery from first principles using Recursion’s massive data and compute capabilities. You will be the primary computational lead for a partnership portfolio of preclinical drug programs and will be responsible for collaboratively defining and executing a research strategy that identifies novel targets for immunology and inflammation (I&I) diseases, translationally validates disease contexts in hit-to-lead, and accelerates in vivo work in lead optimization.

You will integrate molecular and clinical data from public and partnered datasets with layers of Recursion platform data (phenomics, transcriptomics, proteomics, etc) to validate the link between target and disease biology and to propose programs in novel areas of immunology and inflammation. You will partner with machine learning and computational scientists from across the organization to develop, deploy, and scale novel approaches to: 1) translational validation in hit to lead, 2) mechanism-of-action identification/de-risking and in vivo validation in lead optimization, and 3) patient selection/indication expansion to match the medicines we are creating to the patients who need them.  

In this role, you will:

  • Evaluate new data sources, develop and scale new analysis methods, and drive key program decisions with the ultimate goal of bringing life-changing therapies to patients at unprecedented speed
  • Evaluate the molecular evidence for therapeutic hypotheses and accelerate drug program progression into the clinic
  • Pilot novel methods for patient stratification and indication selection or expansion in immunology and inflammation
  • Deliver biological insights on therapeutic candidates and disease biology from the analysis of high dimensional (phenomics, transcriptomics, proteomics, patient-derived) datasets that support clinical development planning
  • Present data analysis to decision makers and stakeholders in a clear and compelling way that drives toward getting medicines to patients
  • Industrialize analysis approaches to not only solve for the current project, but also to accelerate future projects and scale the impact that we can have
  • Collaborate cross-functionally with Recursion’s data science, platform, ML and clinical teams to further advance Recursion’s ability to interpret and translate large-scale data assets into therapeutic programs

The Team You’ll Join 

Our group is a bold, agile, diverse collective of computational drug discovery scientists deeply focused on the singular goal of bringing new therapeutics into the clinic at an accelerated pace. We are a computational group that spans precision oncology, I&I (immunology and inflammation), and neuroscience and focuses on advancing novel, targeted therapies for these disease areas. We partner closely with our biologists and medicinal chemists to design and execute impactful and decisional data analysis for multiple programs. We are responsible for data strategy across the portfolio and supported by computational leadership in designing scalable and reproducible experiments that serve to advance multiple programs within the portfolio. 

Our team collaborates extensively with computational biologists in other therapeutic areas (neurobiology, oncology, etc.) as well as data scientists and engineers from our core platform teams to provide a strong network of feedback and support. 

The Experience You’ll Need

  • PhD in a relevant field (computational biology, systems biology, bioinformatics, immunology/inflammation biology, immuno-oncology, etc.) with a very strong computational focus and 5+ years of experience in biotech or pharma industry OR MS in a relevant field and 7+ years of experience in biotech or pharma industry solving fundamental problems in immunology or drug discovery
  • Experience with two or more immunology or inflammation disease areas; strong understanding of patient genetics and historical druggability of disease relevant pathways
  • Experience applying computational methods (including probabilistic, statistical, and/or machine learning techniques) to analyze and integrate matched human clinical and molecular data in a high level programming language such as Python or R
  • Experience in efficiently advancing drug programs from proof of concept and into clinical development
  • Deep expertise in the analysis and data integration of two or more ‘omics data modalities (phenomics, transcriptomics, proteomics, genomics), including experience working with patient data
  • Exceptional data visualization skills
  • Excellent cross-functional communication skills, including an ability to explain complex scientific concepts to a variety of audiences using a combination of plots, documents, and presentations

Nice To Have:

  • Experience analyzing data from imaging-based modalities
  • Experience with immunology and inflammation clinical trial biomarker analysis 
  • Experience working collaboratively with biometrics and statistical sciences 

Working Location & Compensation:

This is an office-base, hybrid role in either our Salt Lake City, New York City, Toronto, or London offices. Employees are expected to work in the office at least 50% of the time. 

At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is:

$205,800- $241,900 USD (SLC)
$226,800- $266,600 USD (NYC)
$251,000- $280,000 CAD
£113,400- £133,300 GBP

You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. 

#LI-LM1

The Values We Hope You Share:

  • We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. 
  • We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action.
  • We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection.
  • We move with urgency because patients are waiting. Speed isn’t about rushing but about moving the needle every day.
  • We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy—leaders take accountability for decisive action, and teams own outcomes together. 
  • We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities.

Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively.

More About Recursion

Recursion (NASDAQ: RXRX) is a clinical stage TechBio company leading the space by decoding biology to radically improve lives. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously generate 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 Toronto, Montréal, New York, London, Oxford area, 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.  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. 

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 (Recursion)

We are committed to a high-performing workplace where everyone feels like they belong and can do the best work of their careers. We reward merit and contribution as we strive for a workplace that reflects the communities in which we operate and the patients we intend to serve. To this end, we invite you to self-identify your race/ethnicity and gender. This information will be kept confidential and will not be used to favor or discriminate against any candidate. It 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. 

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