Principal/Director, Computational Biology jobs in United States
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Verge Genomics · 15 hours ago

Principal/Director, Computational Biology

Verge Genomics is transforming drug discovery through artificial intelligence and proprietary human data. The Principal/Director, Computational Biology will lead the company's computational biology efforts, delivering insights to biopharma partners and driving their R&D decisions.

BiotechnologyGeneticsHealth CareMachine LearningNeuroscience

Responsibilities

Deliver biological insights on therapeutic candidates and disease biology from the analysis of multi-modal data (transcriptomics, genetics, and clinical data)
Translate high-level business objectives into a scientific workplan
Synthesize diverse datasets to generate and evaluate hypotheses for target prioritization, mechanism-of-action identification, indication expansion, repositioning, biomarker discovery, and patient enrichment
Present results to external stakeholders to drive pharma R&D decisions
Develop and validate benchmarks to evaluate performance of AI models on translational tasks
Interpret and analyze the output of AI foundation models
Translate between biological domain knowledge and machine learning objectives

Qualification

Computational BiologyMulti-omic Data IntegrationMachine LearningData VisualizationPythonCross-functional Project LeadershipAI in Biological ContextCommunicationAdaptability

Required

PhD in computer science, computational biology, AI/ML, applied statistics, biophysics, or related field, or MS in related field with exceptional professional experience
Experience applying computational methods (including probabilistic, statistical, and/or machine learning techniques) to analyze and integrate matched human clinical and molecular data
Deep expertise with the multi-omic data integration (transcriptomics, genetics, proteomics, clinical data) and systems biology workflows (gene network, pathway enrichment analysis)
Track record of delivering novel translational insights that have influenced pharma/biotech R&D decisions (e.g. target discovery, biomarker identification, patient stratification)
Exceptional data visualization skills
Experience leading cross-functional projects with multiple parties including biologists, engineers, AI researchers, and external collaborators
Excellent coding skills in Python. A demonstrable portfolio (e.g., GitHub, research code, or shared notebooks) is highly preferred
Domain knowledge with advanced AI approaches and experience applying them to a biological context
Excellent communication skills, including explaining complex scientific concepts to cross-functional stakeholders using plots, documents, and presentations
Ability to thrive in uncertainty with frequently changing priorities
Deep alignment with our values
A passion for making an impact on patients

Preferred

A demonstrable portfolio (e.g., GitHub, research code, or shared notebooks) is highly preferred

Company

Verge Genomics

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Verge Genomics uses machine learning and human genomics to accelerate drug discovery.

Funding

Current Stage
Growth Stage
Total Funding
$134.12M
Key Investors
BlackRockThresholdIA Ventures
2023-07-01Series Unknown
2021-12-16Series B· $98M
2018-07-17Series A· $32M

Leadership Team

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Alice Zhang
CEO & Co-founder
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Victor Hanson-Smith
Distinguished Scientist, Head of Computational Biology
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Company data provided by crunchbase