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Director Real World Evidence Scientist - Oncology(m/w/x)
Leading data strategy across drug lifecycle, designing non-interventional and regulatory studies for pharmaceutical and device development. Strong RWE/D experience within pharmaceutical industry, plus a Master's or Doctoral degree in Epidemiology or Public Health required. Hybrid work model, focus on innovative therapeutic areas.
Requirements
- Doctoral or master’s degree in Epidemiology, Public Health or related field
- Strong experience in RWE/D within pharmaceutical industry
- Preferably background in health, life sciences, or quantitative data sciences
- Experience leading end-to-end RWE generation plans and studies
- Excellent oral and written communication skills
- Collaborative, proactive, and independent working style
Tasks
- Drive the RWE and data strategy across the drug lifecycle
- Lead quantitative RWE strategies for the oncology therapeutic area
- Integrate fit-for-purpose real-world data into evidence generation plans
- Design and oversee non-interventional and RWE studies
- Manage external control arm and regulatory grade studies
- Provide scientific expertise for regulatory submissions and program decisions
- Foster cross-functional collaboration with other quantitative scientists
- Maintain and expand strategic external collaborations
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- RWE
- RWD
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Director Real World Evidence Scientist - Oncology(m/w/x)
Leading data strategy across drug lifecycle, designing non-interventional and regulatory studies for pharmaceutical and device development. Strong RWE/D experience within pharmaceutical industry, plus a Master's or Doctoral degree in Epidemiology or Public Health required. Hybrid work model, focus on innovative therapeutic areas.
Requirements
- Doctoral or master’s degree in Epidemiology, Public Health or related field
- Strong experience in RWE/D within pharmaceutical industry
- Preferably background in health, life sciences, or quantitative data sciences
- Experience leading end-to-end RWE generation plans and studies
- Excellent oral and written communication skills
- Collaborative, proactive, and independent working style
Tasks
- Drive the RWE and data strategy across the drug lifecycle
- Lead quantitative RWE strategies for the oncology therapeutic area
- Integrate fit-for-purpose real-world data into evidence generation plans
- Design and oversee non-interventional and RWE studies
- Manage external control arm and regulatory grade studies
- Provide scientific expertise for regulatory submissions and program decisions
- Foster cross-functional collaboration with other quantitative scientists
- Maintain and expand strategic external collaborations
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- RWE
- RWD
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
SUSONITY
Industry
Pharmaceuticals
Description
Das Unternehmen entwickelt Medikamente, intelligente Geräte und innovative Technologien in Therapiegebieten wie der Onkologie, Neurologie und Fruchtbarkeit.
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