RWD Scientist

About the role

Roche is looking for an RWD Scientist in Shanghai to shape and run real-world evidence (RWE) and epidemiology work for its portfolio of products. The role covers strategy, project delivery, stakeholder partnerships and training, and acts as a franchise/division-level RWE lead.

Key responsibilities

• Shape strategy for complex evidence-generation deliveries and cross-functional projects, and set up the evidence generation plan as part of the local integrated evidence plan for multiple products and therapeutic areas
• Provide epidemiological inputs to medical planning with a solid understanding of the business context
• Lead RWD project design, analyses and interpretation, map and license RWD sources, and build research collaborations
• Implement the RWE plan and execute RWE projects on time with cross-functional partners
• Develop innovative RWE programs that support drug development, regulatory decisions (label changes, new indications), payer decisions and clinical practice
• Build partnerships with internal and external stakeholders and maintain a KOL network in the medical/clinical community
• Coach, mentor and train colleagues on RWE and epidemiology basics, and act as the division-level RWE lead locally and globally
• Maintain process standards across therapeutic areas in line with Roche SOPs, China CDE requirements and GPP guidelines

Required profile

• Master's degree or above in epidemiology, biostatistics, public health or an equivalent combination of education and experience
• Minimum 3 years of professional experience designing, implementing and reporting epidemiology/observational studies
• Experience as a real-world data scientist/epidemiologist in a multinational pharmaceutical company or CRO; oncology study experience is a plus
• Previous experience as a key RWD scientist or lead epidemiologist
• Fluent English for technical discussions

Required skills

• Expert knowledge of epidemiology and observational study methods
• Good knowledge of statistical programming, including SAS
• Project management skills strongly preferred
• Strong communication skills and ability to work independently and collaboratively