Epidemiologist
Vita Global Sciences, a Kelly Company · Titusville, NJ · 2 mo ago
RemoteRemoteAnalystContract
Summary
Kelly Science and Clinical FSP is seeking an Epidemiologist for a remote position supporting their Medical Device client. This role is full-time and offers comprehensive benefits.
Responsibilities
- Partner with other functions (e.g., 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.
Qualifications
- An advanced degree (Master's required, Ph.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).
- Working knowledge of applied epidemiologic methods.
- Knowledge and hands-on experience with healthcare real-world data sources (e.g., insurance claims data, electronic medical records, and hospital billing data).
- Excellent oral and written communication skills, including experience presenting to technical and lay groups.
Preferred
- Experience in medical devices.
- Experience authoring peer reviewed publications using RWD as evidenced by publication and journal articles.
- Epidemiology or related research work experience in Industry.