Related skills
biotech genai ml deployment regulatory compliance auditabilityπ Description
- Design and ship production systems around models, owning integrations and data provenance.
- 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 and system quality against benchmarks.
- Distill deployment learnings into reference architectures and validation templates.
π― Requirements
- 5+ years software/ML engineering or deployments with customers.
- Owned GenAI deployments end-to-end from scoping to production adoption.
- Delivered AI systems in trial design, regulatory writing, or scientific ops.
- Clear communication across scientific, clinical, model research, technical, and executive audiences.
- Applied systems thinking with high execution standards.
π Benefits
- Hybrid work model: 3 days in the office per week.
- Relocation assistance.
- Travel up to 50%.
π Relocation support
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