The role is central to digital transformation efforts, applying advanced statistical modeling and Generative AI to solve complex business challenges in healthcare
Job Summary
The role is central to digital transformation efforts, applying advanced statistical modeling and Generative AI to solve complex business challenges in healthcare.
Candidates must have a proven track record of leading end-to-end GenAI/LLM projects from conception to production within the biotechnology or pharmaceutical sectors.
Roche fosters a culture of personal expression and open dialogue where every voice matters to prevent, stop, and cure diseases globally.
Matching Summary
The role is central to digital transformation efforts, applying advanced statistical modeling and Generative AI to solve complex business challenges in healthcare.
Skills & Requirements
Must-have
Master's or Ph.D. in quantitative field
5+ years data science experience
End-to-end GenAI/LLM project delivery
Python programming proficiency
Cloud computing platforms AWS Azure GCP
Prompt engineering and RAG systems
Biological dataset analysis multi-omics
Nice-to-have
Fluent in English and Mandarin
Experience with MLOps lifecycle for LLMs
Knowledge of vector databases technology
Publications in peer-reviewed journals
Familiarity with data privacy regulations GDPR PIPL
Experience with containerization and API development
Strong communication skills for non-technical audiences