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python genai life sciences production systems ml engineering📋 Description
- Design and ship production systems around models, ownership of integrations.
- Ensure data provenance, reliability, and on-call readiness across workflows.
- Lead discovery and scoping from pre-sales through post-sales with measurable endpoints.
- Define launch criteria for regulated contexts, including validation and audit readiness.
- Build in sensitive scientific data environments with auditability and access controls.
- Run evaluation loops to measure model quality against benchmarks.
🎯 Requirements
- 5+ years in software/ML with customer-facing ownership in biotech/pharma.
- PhD, MS, or equivalent life sciences experience encouraged.
- Owned GenAI deployments end-to-end from scoping to production.
- Delivered AI systems in trial design or regulatory contexts with validation.
- Communicate across scientific, clinical, technical, and exec teams.
- Apply systems thinking to improve standards and artifacts.
🎁 Benefits
- Hybrid work model: 3 days in the office per week.
- Relocation assistance provided.
- Travel up to 50% is required.
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