
Data Driven Innovation Leader
5 days ago
Develop and execute a comprehensive Generative AI strategy for life sciences applications.
Key Responsibilities:- GenAI Roadmap: Create a strategic plan for implementing generative AI models in pharma and biotech industries.
- Collaboration & Stakeholder Management: Foster cross-functional teams to align GenAI initiatives with enterprise requirements.
- Solution Design & Development: Design, develop, and implement scalable GenAI solutions for drug discovery, medical writing automation, clinical trials, regulatory submissions, and real-world evidence generation.
- LLM Development & Optimization: Collaborate with data scientists and ML engineers to develop, fine-tune, and optimize large language models (LLMs) for life sciences applications.
- Cloud & On-Prem AI Infrastructure: Design GenAI solutions leveraging cloud platforms or on-premise infrastructure while ensuring data security and regulatory compliance.
- MLOps & Deployment: Implement best practices for GenAI model deployment, monitoring, and lifecycle management within GxP-compliant environments.
- Performance Optimization: Drive efficiency in generative AI models while maintaining data integrity and compliance.
Desirable Skills:
- Experience with GenAI development and deployment in life sciences applications
- Strong collaboration and stakeholder management skills
- Ability to design and develop scalable GenAI solutions
- Knowledge of cloud and on-prem AI infrastructure
- Understanding of MLOps and deployment best practices
Why this role?
This is an exciting opportunity to shape the future of life sciences applications using Generative AI. As a Lead GenAI Strategist, you will play a key role in driving innovation and improving business outcomes.
What we offer:
- Competitive compensation package
- Opportunities for professional growth and development
- Collaborative and dynamic work environment
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