Associate Principal Computational Biologist, Neuroscience

Recursion

Senior Computational Biologist focusing on neuroscience at Recursion. Analyzing high-dimensional datasets to support drug discovery programs.

Posted 7/17/2026full-timeNew York City • New York, Utah • 🇺🇸 United StatesJuniorMid-Level💰 $200,600 - $242,550 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in analyzing high-dimensional biological datasets, integrating omics data modalities, and applying computational methods to support drug discovery and development. Strong ability to communicate complex scientific insights effectively to diverse stakeholders.

Highest-signal resume keywords

PhD In Computational BiologyData Analysis And IntegrationMachine Learning TechniquesExceptional Data Visualization SkillsCross-Functional Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Computational BiologyBioinformaticsStatistical AnalysisHigh-Level Programming (Python, R)Omics Data AnalysisData IntegrationTherapeutic Hypothesis EvaluationBiomarker DevelopmentMechanism Of Action AnalysisClinical Data Analysis

Soft Skills

Clear CommunicationCollaborationPresentation Skills

Industry Keywords

BiotechPharmaPhenomic DataTranscriptomic DataProteomic DataGenomic DataPatient-Derived DatasetsDrug Program ProgressionClinical Development PlanningData Science

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

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 biological and molecular evidence for therapeutic hypotheses and accelerate drug program progression into the clinic
Synthesize diverse datasets (internal and external) to generate and evaluate hypotheses for drug discovery, biomarker development, mechanism of action and target population identification
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

Requirements

What you’ll need

PhD in a relevant field (computational biology, systems biology, bioinformatics, neuroscience, etc.) with a very strong computational focus and 5+ years of experience in biotech or pharma industry OR MS in a relevant field
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) and/or human clinical 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.

Benefits

Comp & perks

annual bonus
equity compensation
comprehensive benefits package