Epidemiologist - Data Analytics, Evidera

Work Schedule
Standard (Mon-Fri)

Environmental Conditions
Office

Job Description

Epidemiologist - Data Analytics, Evidera

Position Overview:

In this role you will be contributing to the design of observational epidemiologic studies, working with a Data Analyst on the analyses of data and contributing to the interpretation and summary of results, with the focus on studies using data from the Nordic population-based and clinical registries. In this role, the RA III will be the day-to-day scientific manager for multiple projects and will interact with the Evidera research team and the client team for the good execution of these studies. In addition, the RA III will contribute to developing proposals for new studies and other business development materials.

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• Coordinates of design of retrospective, cross-sectional, and/or prospective studies for review by the Principal Investigator.
• Co-authors project proposals and deliverables (defined above), ensuring timely delivery of drafts of "near completion" status are ready for review by senior staff.
• Synthesizes contributions from multiple team members into meaningful deliverables with clear messages.
• Develops initial drafts of project budgets and other business development-related materials.
• Provides scientific and financial project coordination (e.g., monitoring project scope, tracking progress to budget/timelines).

• Regularly interacts with clients, including on calls and potentially face-to-face meetings and in presentation of findings at scientific meetings.
• Contributes to strategic thinking around demonstration of product value.
• Derives/refines research questions/hypotheses/ recommendations relevant to addressing client's research objective(s); ability to identify information relevant to client need (and to filter out irrelevant information).
• Presents strategies to senior staff to mitigate or address scientific and operational challenges.

• PhD or MSc with significant related experience
• Applied experienced in quantitative methods in epidemiology with a focus on data analysis using real-world observational data (e.g. claims data, electronic medical records)
• Experience with European databases
• Good understanding of relevant methodology and statistics
• Previous experience in consultancy environment highly desirable
• Working knowledge of data analysis software (e.g., SAS, Stata, R) and MS Office software