Staff Computational Biologist, Immunology

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. 

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