Data Scientist RWE

Contenu de l'offre Data Scientist RWE chez CALYPSE CONSULTING

Real World Evidence Scientist (Lifesciences)

You will provide methodological and analytical expertise, independently provide strategic input regarding utilization of real world evidence (RWE); and provide leadership of all internal RWE database analyses for a specific Franchise.

Responsabilities

- Serve as franchise/division level analytical expert on all real world evidence generation methods and analytic projects.

- Provide expert consultation on analytical issues including, but not limited to exploratory analyses from real world databases, and the conduct of full non-interventional studies.

- Ensure latest methodologies and breakthrough analytical technologies are implemented for RWE projects across the organization.

- Provide expert input into the development of the real world evidence plans supporting global and local value demonstration in close collaboration with the RWE franchise/division heads/teams.

Interpret findings from non-interventional data analytic projects, and communicate key insights and messages to various cross-functional teams and externally via publications and presentations.

- Provide critical scientific review of all Franchise specific RWE study concepts and protocols via participation on Integrated Scientific Review Board and NIS Protocol Review Forum.Requirements

- Advanced degree in relevant scientific subject (Health Economics, Epidemiology, Biostatistics, Public Health, Health Services Research or similar), PhD preferred

- 5+ years conducting RWE research for pharmaceutical products in the pharma industry, contract research organization, or academic institute; or experience in a closely related discipline within the pharma industry (e.g., clinical research, statistics, epidemiology, pricing)

- Deep understanding of RWE study methods; thorough understanding of study designs that provide most relevant evidence to decision-makers

- Deep understanding of available and emerging RWD data sources

- Demonstrated research accomplishments including publications and presentations at scientific conferences

- Strong collaboration and networking skills to foster productive internal relationships cross-functionally

Statut : Cadre

Type d'emploi : Temps plein, CDI

Horaires :

Du Lundi au Vendredi

Expérience:

data scientist rwe ou similaire: 3 ans (Souhaité)

Télétravail:

Non