Staff Computational Biologist

The Impact You’ll Make

As a key member of Recursion's portfolio-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 multiple late discovery or clinical-stage drug programs and can expect the freedom to collaboratively define and execute a research strategy that brings promising molecules through clinical development. 

You will be responsible for the evaluation of therapeutic hypotheses using internal and external data to validate the link between proposed targets and disease biology, guide multimodal SAR, decipher drug mechanism of action, and identify candidate biomarkers to measure in translational studies. You will partner with machine learning and computational scientists from across the organization to develop, deploy, and scale novel approaches to patient selection and indication expansion that match the medicines we are creating to the patients who need them. 

In this role, you will:

• Evaluate the molecular evidence for therapeutic hypotheses and accelerate drug program progression into the clinic, primarily in oncology
• Architect quantitative analyses and experiment cascades that combine diverse datasets to drive key program decisions
• Pilot novel methods for patient stratification and indication selection or expansion in oncology
• 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 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. You will collaborate extensively with scientists across the organization to advance milestones, provide insights, and drive decisions that advance Recursion’s capabilities and increase our likelihood of success in the clinic. Essential attributes for this role include a bold, execution-first attitude and passion for deploying rigorous science to develop life-changing medicines. 

We partner closely with biologists and medicinal chemists to design and execute decisional data analysis for multiple programs. We are responsible for data strategy across the portfolio and are supported by computational leadership in designing scalable and reproducible experiments that advance multiple programs at once. Our team collaborates extensively with computational biologists in other therapeutic areas (neurobiology, immunology, inflammatory diseases, 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, cancer 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 oncology or drug discovery
• Experience with two or more oncology indications; strong understanding of patient genetics and druggability of disease relevant pathways
• Experience applying computational methods (including probabilistic, statistical, and/or machine learning techniques) to analyze and integrate complex biological and/or human clinical data in a high level programming language such as Python or R
• Experience in efficiently advancing drug programs from proof of concept 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 biomarker data from oncology clinical trials
• 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 working collaboratively with biometrics and statistical sciences
• Experience prioritizing compounds during SAR and lead optimization cycles and with IND applications

Working Location & Compensation:

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

Relocation support can be provided for this role. 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: $200,600 - $238,400. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package.

 

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