Advanced statistical methods and predictive modeling
Hands-on expertise in python, r, and sql
Experience with nlp, llms, and generative ai
The role involves designing and deploying advanced data science solutions to inform scientific engagement and strategic decision-making within Global Medical Affairs
Job Summary
The role involves designing and deploying advanced data science solutions to inform scientific engagement and strategic decision-making within Global Medical Affairs.
Candidates will translate complex structured and unstructured data into actionable intelligence using tools like Python, R, SQL, and Tableau.
This position requires a deep problem solver who can mentor peers and drive innovation through emerging technologies such as Large Language Models.
Matching Summary
The role involves designing and deploying advanced data science solutions to inform scientific engagement and strategic decision-making within Global Medical Affairs.
Skills & Requirements
Must-have
Advanced statistical methods and predictive modeling
Hands-on expertise in Python, R, and SQL
Experience with NLP, LLMs, and Generative AI
End-to-end data science project delivery
Strong storytelling and presentation skills
Nice-to-have
Life sciences or pharma industry experience
Peer mentorship and leadership capabilities
Familiarity with MLflow, AWS, and DevOps workflows
Curiosity and passion for continuous learning
Experience with causal inference and A/B testing
Key Requirements
PhD in Computer Science, Engineering, Statistics, or related field with 2+ years experience
Master's degree in quantitative field with 5+ years experience
Bachelor's degree in quantitative field with 7+ years experience
Demonstrated hands-on application of machine learning and statistical techniques