Research Scientist Evidera- Epidemiologist (fully remote)

🌍 Remote, USA πŸ’Ή Full-time πŸ• Posted Recently

Job Description

About the position The Research Scientist position at Thermo Fisher Scientific involves serving as an independent principal investigator and consultant for projects within the Real-World Evidence team. This role is responsible for overseeing project delivery, ensuring scientific integrity, and leading interactions with clients in the pharmaceutical and medical device industries. The position requires a strong background in epidemiology and quantitative methods, with a focus on designing and implementing non-interventional studies. Responsibilities β€’ Oversee all aspects of project delivery, including delegating project management tasks to junior staff. β€’ Design and implement de novo data collection studies, including retrospective, prospective, and cross-sectional studies. β€’ Lead interactions with clients in the pharmaceutical and medical device industries. β€’ Review and finalize project deliverables, ensuring validity and reliability of study findings. β€’ Manage project budgets, timelines, and scope expansions, identifying the need for amendments. β€’ Contribute to abstracts and manuscripts as co-author or first author when possible. β€’ Serve as a consultant to other principal investigators or staff on various projects. β€’ Guide and mentor staff across Evidera locations. β€’ Participate in business development and identify new project opportunities. Requirements β€’ PhD in epidemiology or a closely related field, or MSc with 7-10 years of relevant experience. β€’ Knowledge of the drug development process and familiarity with international regulatory requirements. β€’ Broad experience in quantitative methods in Real World Evidence (RWE) with a focus on non-interventional studies and data analysis. β€’ Strong understanding of relevant methodology and statistics. β€’ Deep understanding of healthcare research principles and practical research implementation. β€’ Working knowledge of MS Office; ability to read and understand SAS/STATA output; familiarity with data analysis software (e.g., SAS, Stata, R) is a plus. Nice-to-haves β€’ Experience with the design of peri- or post-approval late phase interventional studies. Benefits β€’ Health insurance coverage β€’ 401k retirement savings plan β€’ Paid holidays β€’ Flexible scheduling β€’ Professional development opportunities Apply tot his job Apply tot his job

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