Epidemiologist - Data Analytics, Evidera

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Epidemiologist - Data Analytics, Evidera

At Thermo Fisher Scientific, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life - enabling our customers to make the world healthier, cleaner and safer. We provide our teams with the resources needed to achieve individual career goals while taking science a step beyond through research, development and delivery of life-changing therapies. With clinical trials conducted in 100+ countries and ongoing development of novel frameworks for clinical research through our PPD clinical research portfolio, our work spans laboratory, digital and decentralized clinical trial services. Your determination to deliver quality and accuracy will improve health outcomes that people and communities depend on – now and in the future.

Evidera is a business within Pharmaceutical Product Development, LLC (PPD) a leading global contract research organization (CRO). We provide integrated scientific expertise and global operational capabilities to help clients generate the evidence needed to optimize the market access and commercial potential of products. The Evidera Data Analytics team supports the pharmaceutical/ biotechnology/ medical device companies throughout the product lifecycle, from early pre-launch planning to launch and post-marketing management. Our focus is on helping our clients build economic and epidemiological evidence to demonstrate and support the value of their products, through analysis of large health administrative databases (e.g., medical claims, electronic health records, registries, etc

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.

Essential Duties and Responsibilities (other duties may be assigned):

• 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).
  
  

 

Consulting Expectations:

• 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.
  
  

Education, Professional Skills & Experience:

• 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