Real World Data Scientist

Job description

  Job facts

Principle Roles & Responsibilities / Accountabilities
Provide epidemiological inputs with solid understanding of strategic business context in the medical planning process for multiple portfolio and pipeline products across therapeutic areas
Accountable for the execution of epidemiologic deliverables as defined and agreed in the medical plan
Independently design and/or review RWD studies aimed at investigating natural history of disease, treatment patterns, effectiveness, or potential safety signals which may include (but not limited to) automated databases and observational studies (e.g. registry, etc) .
Expert in analyzing, interpretation, and communication of complex RWD data. Author or contribute to study reports, publications, and presentations.
Manage and collaborate with external vendors on design and implementation of RWD studies. Good understanding of internal and external real-world data sources (private and public).
Actively seek opportunities for innovation through science and process improvement to address business needs. Develop and maintain KOL network with epidemiologists in medical/clinical community to ensure appropriate academic consultation/support if needed
Act as internal consult to provide technical expertise on the RWE/epidemiology basics. Provide internal/external training.
Maintain process standards across the therapeutic areas according to Roche SOPs, China CFDA requirements and GPP guidelines with regard to pharmacoepidemiology

Qualification and Experience
Education/Qualifications
Master degree or above in the epidemiology, biostatistics, public health or equivalent combination of education and experience
Minimum of 3 years of professional experience in designing, implementation and report of epidemiology/observational studies
Working experiences as real world data scientist/epidemiologist in multinational pharmaceutical company or Clinical Research Organization, experience in oncology studies will be plus

Leadership Competencies
Ability to work effectively in a matrix team

Job Required Competencies
Expert knowledge of epidemiology/observational methodologies and applications
Previous experience as a key RWD scientist or lead epidemiologist
Good knowledge of statistical programming skill (including SAS programming)
Strong communication skills and ability to work both, independently and collaboratively, as required
Demonstrated project management skills is strongly preferred
Business acumen
Be able to handle technical discussion in fluent English

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