TFS HealthScience is a leading global mid-size Contract Research Organization (CRO) partnering with biotechnology and pharmaceutical companies throughout their entire clinical development journey. Our expertise spans full-service solutions, resourcing, and Functional Service Provider (FSP) models.
About this Role
As part of our SRS/FSP team, you will be dedicated to one of our pharmaceutical partners. You will collaborate with their Real World Evidence and Observational Research group to design and implement advanced analyses of healthcare data.
This role is focused on the Respiratory therapeutic area, particularly COPD, with the objective of generating real-world insights that support strategic decision-making and improve patient outcomes.
Key Responsibilities
Deliver and implement advanced secondary analyses of EMR and claims data to support observational epidemiological studies.
Design and execute analyses for real-world observational studies with no intervention.
Provide expert input and recommendations on study design, data partner selection, and Real-World Data (RWD) best practices.
Collaborate with internal and external teams to evaluate the strengths and limitations of RWD sources for respiratory research.
Independently design and build analytical solutions for complex healthcare datasets.
Develop, validate, and document analytical methods and models using SQL (required), R, and Python.
Apply advanced statistical methods (e.g., regression models, Cox regression, Kaplan-Meier survival analysis) to generate robust insights.
Contribute to study reports, publications, and presentations through high-quality statistical analyses and visualizations.
Qualifications
Master’s degree in Statistics, Mathematics, Data Science, or a related Life Sciences discipline.
Demonstrated experience with large datasets, preferably healthcare data.
Excellent SQL skills and strong experience querying complex databases.
Excellent programming skills in R; Python experience is an advantage.
Strong problem-solving skills and ability to independently develop analytical solutions.
Good understanding of statistical methods used in observational research (e.g., regression, Cox regression, Kaplan-Meier).
Experience working with observational studies with no intervention.
Familiarity with ADaM/SDTM datasets and clinical data structures.
Experience working with or understanding of the OMOP Common Data Model (OMOP CDM).
Proven ability to work in cross-functional teams and communicate with both technical and non-technical colleagues.
Prior experience in respiratory diseases, particularly Asthma and/or COPD.
Experience contributing to scientific publications or conference presentations.
About TFS
Our journey began more than 25 years ago in Lund, Sweden. Today, TFS operates in 17 countries across Europe, North America, Asia-Pacific, and the Middle East, delivering tailored clinical development solutions to our partners.
Our core values — Trust, Quality, Flexibility, and Passion — define who we are and guide how we work. They are the foundation of our culture and our success.
#TogetherWeMakeADifference
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