1. Develop and Optimize AI
Algorithms: Design, implement, and refine advanced AI algorithms—especially large
language models—to solve real-world challenges in the pharmaceutical
sector. Manage data preprocessing, feature engineering, model selection, and
validation, ensuring alignment with business objectives.
2. Cross-Functional
Collaboration: Partner with internal IT teams and external collaborators to
deploy AI models in production. Ensure solutions are scalable, reliable, and
seamlessly integrated with existing IT infrastructure.
3. Stay Ahead of AI Trends:
Continuously monitor new developments in artificial intelligence. Assess
emerging technologies and recommend innovative, industry-specific approaches to
enhance current solutions and support new product initiatives.
4. Model Performance and
Fairness: Oversee the accuracy, fairness, and ongoing performance of deployed
models. Retrain or update models as necessary to address evolving data and
business needs.
5. Documentation and
Reporting: Maintain comprehensive records of methodologies, experiments, and
results. Prepare technical reports and presentations for both technical and
non-technical stakeholders.