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machine learning stakeholder management modeling roadmapping computational biology📋 Description
- Coordinate interdisciplinary programs across ML, computational biology, and experimental biology.
- Define cross-functional roadmaps and enable platform capabilities.
- Align modeling, experimental design, and data generation with leads.
- Drive technical goals, manage dependencies, and enable collaboration.
- Influence stakeholders across research and engineering teams.
- Lead end-to-end planning and execution of cross-functional initiatives.
🎯 Requirements
- Background in science or engineering with program mgmt experience.
- Experience coordinating cross-functional teams across computational and experimental biology.
- Define roadmaps, manage dependencies, and communicate clearly.
- AI/ML experience preferred; familiarity with computational design.
- Bachelor’s degree required; Master’s/PhD preferred.
- Operate at the intersection of data science, engineering, and lab science.
- Strong stakeholder management across teams.
🎁 Benefits
- Interdisciplinary, fast-paced environment.
- Opportunity to shape platform capabilities and research directions.
- Competitive compensation and benefits package.
- Career growth and exposure to AI/ML-enabled drug design.
- Inclusive, collaborative culture.
- Equity and opportunities for advancement.
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