Senior Computational Biologist - Translational and Clinical Biomarkers

Recursion • Salt Lake City, UT

20d • Hybrid

About The Position

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 multiple IND and clinical stage drug development programs and will be expected to use platform and patient data to advance our most promising therapeutic candidates through clinical trials. You will be responsible for the evaluation of therapeutic hypotheses using internal and external data to identify candidate biomarkers to measure in translational studies and in phase I-II clinical trials. This is a highly collaborative role: you will partner with biologists, clinicians, platform and data engineers, and translational experts to develop and scale methods that bring patient insights and reverse translation to the forefront of our medicines portfolio. The ideal candidate has strong stakeholder management, the ability to independently scope and prioritize with ambiguous or conflicting information, and is motivated to look under every stone to do the right thing for patients.

Requirements

• PhD in a relevant field (computational biology, systems biology, bioinformatics, cancer biology, immuno-oncology, etc.) with a very strong computational focus and 3+ years of experience in biotech or pharma industry OR MS in a relevant field and 5+ years of experience in biotech or pharma industry solving fundamental problems in oncology or drug discovery
• Experience with high dimensional patient biomarker data from clinical trials in oncology
• 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
• Deep expertise in the analysis and data integration of two or more ‘omics data modalities (phenomics, transcriptomics, proteomics, genomics) including experience with matched clinical and molecular 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 Haves

• Experience with late stage drug discovery and IND submission
• Experience collaborating cross-functionally with biometrics, statistical sciences and clinical pharmacology departments

Responsibilities

• Evaluate the molecular evidence for predictive and PD biomarker hypotheses in translational models and clinical samples (DNA, RNA, ctDNA, and novel exploratory modalities)
• Pilot novel methods for patient stratification and indication selection or expansion
• Deliver biological insights on therapeutic candidates and disease biology from the analysis of high dimensional (phenomics, transcriptomics, patient-derived) datasets
• 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 leverage our own clinical data in meta-analysis, hypothesis generation, and reverse translation

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree
• Number of Employees: 501-1,000 employees