Data Scientist & Governance

Job Description Summary

Act as subject matter expert for Data Science to the local Medical Affairs team. Recommend data solutions to address evidence needs. Constant cross-functional collaborative work with Medical, Access, HEOR, Finance, Legal, Data privacy, QA, Supply and Patient Safety colleagues.Ensure latest methodologies and breakthrough technologies are implemented for Medical Affairs. 

 

Job Description

Major accountabilities:

• Design, implement and maintain a Data Governance & analytics program for the medical team.
• Promote a data driven decision-making process: data extraction, storage, governance, automation of processes and analysis with statistical techniques and visualization reports.
• Promote the use of new digital technologies in the medical field to solve daily challenges.
• Work together with the Business Excellence and Execution team for the implementation of management tools and visualization of KPIs.
• Definition and monitoring of KPIs that allow evaluating the performance of the business
• Segmentation and Targeting Analysis for optimization of strategic decisions before and after product launching.
• Explore the opportunities and difficulties of implementing new technology in health care and navigate the healthcare barriers from stakeholders in analyzing gaps that can be closed with technology and data.

Ideal Background

• Education: Desired degree in relevant discipline including data science, data mining, health services research, biostatistics, business intelligence

  Languages: Advanced English

  Experience:

• Prior experience in Data Science and Data Governance
• Proven experience and knowledge of the scientific method, research project design, statistical analysis and scientific publication.
• Preferably prior experience working in the Pharmaceutical Industry.
• Digital savviness

Competency Profile

• Team management Conflict resolution
• Effective communications
• Ability to work and prioritize independently
• Project management skills (planning, executing and monitoring training projects, manage multiple tasks and priorities efficiently)
• Ability to adapt and learn new technologies and tools.
• Business Mindset Operations Management and Execution

 

Skills Desired

Clinical Data Management, Data Architecture, Data Governance, Data Integration, Data Management, Data Profiling, Data Quality, Data Science, Data Strategy, Master Data, Waterfall Model