Work to generate, validate, and integrate multimodal generative AIML models for the de novo design and multi-objective optimization of tool and therapeutic biologics
Build and exploit agent-orchestrated, integrated Design-Make-Test cycles with automated experimental platforms generating quality data at scale needed for project-specific and foundational models
Innovate, develop, and apply predictive models for protein design and developability engineering
Collaborate with external groups to further develop protein engineering computational methods

Requirements

PhD or equivalent in Bioinformatics, Physics, Chemistry, Computer Science, Structural Biology, or related fields with 3+ years of industry experience
Experience in protein structural or sequence analysis
Experience in one or more programming languages (e.g. Python)
Prior experience working as team lead or member in a matrix environment
Experience working across scientific and technical disciplines to deliver impactful solutions

Benefits

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Applicant Tracking System Keywords

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Hard Skills & Tools

AIML modelsmultimodal generative modelspredictive modelsprotein designprogramming languagesPythonmulti-objective optimizationbiologicsdata integrationexperimental platforms

Soft Skills

collaborationteam leadershipmatrix environment experienceinterdisciplinary communicationproblem-solving

Certifications

PhD