Senior Computational Biologist, Immunology

Recursion•Salt Lake City, UT

28d•Hybrid

About The Position

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. As senior computational biologist, you will be supporting partnership portfolio of preclinical drug programs and be responsible for designing and executing analyses to support target nomination, validation, and early programs in 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 layers of Recursion platform data (phenomics, transcriptomics, proteomics, etc) to validate the link between target and disease biology and to propose targets and early programs in novel areas of immunology and inflammation. You will partner with biologists and medicinal chemists to build supporting data packets for targets from our phenomic maps, target screens, and partnered patient data sets. You will also collaborate with 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 3) build evidence for patient connectivity to match the medicines we are creating to the patients who need them.

Requirements

PhD in a relevant field (computational biology, systems biology, bioinformatics, immunology/inflammation 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 immunology or drug discovery
Experience with one or more immunology or inflammation disease areas
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
Deep expertise in the analysis and data integration of one or more ‘omics data modalities (phenomics, transcriptomics, proteomics, genomics)
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

Strong understanding of patient genetics and historical druggability of disease-relevant pathways, including experience working with patient data
Experience in efficiently advancing drug programs from proof of concept and into clinical development
Experience with immunology and inflammation clinical trial biomarker analysis

Responsibilities

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
Evaluate the molecular evidence for therapeutic hypotheses and accelerate drug program progression into the clinic
Present data analysis to decision makers and stakeholders in a clear and compelling way that drives toward getting medicines to patients
Assess new data sources, develop and scale new analysis methods, and support key program decisions with the ultimate goal of bringing life-changing therapies to patients at unprecedented speed
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, biology, medicinal chemistry, and platform, teams to further advance Recursion’s ability to interpret and translate large-scale data assets into therapeutic programs

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