AI Science Manager (Engagement Manager) - AI-accelerated Clinical Development
Tasks
- Build ML pipelines and deployment approaches
- Capture delivery learnings and feedback
- Coach junior team members
- Coordinate cross-functional project teams
- Coordinate with technical leads on AI solution readiness
- Design and refine AI roadmaps and PoCs
- Lead client engagements delivery
- Manage client expectations and communication
- Manage dependencies and delivery risks
- Operationalize AI capabilities into repeatable patterns
- Oversee AI ML solutions for clinical development simulation
- Partner with technology vendors and platform teams
- Plan sprints manage backlogs prioritize work
- Track delivery scope timeline quality
- Translate objectives into scopes milestones delivery plans
Perks/Benefits
Skills/Tech-stack
AWS | Agile | Artificial Intelligence | Azure Machine Learning | Backlog prioritization | Clinical Trial Data | Clinical trial | Cloud Computing | Data Engineering | Databricks | Deep learning | Foundation Models | Generative AI | ML pipelines | Machine Learning | Project Management | Real-World Evidence | Risk Management | Sprint Planning | Stakeholder management | Trial data
Education
N/A
Roles
AI | AI Engagement Manager | AI Project Manager | Engagement Manager | Manager | Project Manager
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