Epidemiologist, Health Sciences (Remote)

Epidemiologist - Medical Device Epidemiology and Real-World Data Sciences
Kelly Science and Clinical FSP is currently seeking an Epidemiologst for a remote opportunity supporting our Medical Device client. This person will join our Kelly FSP (Functional Service Provider) division, a managed solution provider and business unit of Kelly Services, Inc. This role is full-time and is offering full benefit options. As a Kelly FSP employee you will be eligible for Medical, Dental, Vision, 401K and a variety of other benefits to choose from. You will also be eligible for paid time off, including holiday, vacation, and sick/personal time.

world evidence (RWE) surveillance and safety studies to support post?world data sources for safety monitoring and to leverage AI-driven approaches.

Medical Safety, Clinical Research, Medical Affairs) to design and conduct observation studies using real world data to assess safety. A priority focus is on RWE surveillance studies to meet EU-MDR requirements using hospital billing data.
Write study protocols and study reports, use a variety of analytical techniques applied to various databases, and strategize regarding research programs.
Participate in initiatives and epidemiology training, as needed
Demonstrate innovation and excellence as we conduct medical device surveillance studies.
Collaborate with academic institutions, health systems, registries and/or other research partners on identifying additional data sources for medical device safety surveillance.
Participate in various activities of medical device businesses (Surgery, Electrophysiology, Cardiovascular), the larger cross-sector Epidemiology Department (Innovative Medicine) and the Office of Chief Medical Officer.
D. preferred) in Epidemiology, Health Outcomes, Biostatistics, Data Science, or related field.

• 3 – 4 years of relevant experience in a related field, such as epidemiologic research in academia, contract research organization, medical device or pharmaceutical industry.
• Strong knowledge of standard statistical software (e.g. R, SQL, SAS).
• Knowledge and hands-on experience with healthcare real-world data sources (e.g., insurance claims data, electronic medical records, and hospital billing data).
• Experience in medical devices.
• Epidemiology or related research work experience in Industry