TFS HealthScience is a leading global mid-size Contract Research Organization (CRO) that partners with biotechnology and pharmaceutical companies throughout their entire clinical development journey. Our expertise includes full service capabilities, resourcing and Functional Service (FSP) solutions.

A BIT MORE ABOUT US

Our journey began over 25 years ago in Sweden, in the city of Lund. As a global CRO with the ultimate goal of ensuring patients’ safety and well-being, we provide biotechnology and pharmaceutical companies with tailored clinical development solutions. We currently operate in 17 countries across Europe, North America, Asia Pacific, and the Middle East.
Our core values of Trust, Quality, Flexibility, and Passion are what make TFS HealthScience the successful company it is today. Our values shape our culture and work ethic. They reflect what we stand for and guide our organization.

ABOUT THIS ROLE

As part of our SRS/FSP team, you will be dedicated to one sponsor, a global pharmaceutical company.
In this role, you will work closely with the sponsor’s Real World Evidence and Observational Research team to design and implement advanced analyses of healthcare data. The focus will be on the Respiratory therapeutic area, particularly COPD, with the aim of generating insights that guide strategic decisions and improve patient outcomes.

KEY RESPONSIBILITIES

• Deliver and implement advanced secondary analyses of EMR and claims data to support epidemiological observational studies.
• Provide expert technical input, options, and recommendations on study design, data partner selection, and best practices in Real World Data (RWD) utilization.
• Collaborate with internal and sponsor teams to evaluate strengths and weaknesses of external RWD sources for respiratory studies.
• Develop, validate, and document analytical methods and models using SQL, R, and/or Python.
• Contribute to study reports, publications, and scientific presentations by producing high-quality statistical analyses and visualizations.

KEY RESPONSIBILITIES

• Deliver and implement advanced secondary analyses of EMR and claims data to support epidemiological observational studies.
• Provide expert technical input, options, and recommendations on study design, data partner selection, and best practices in Real World Data (RWD) utilization.
• Collaborate with internal and sponsor teams to evaluate strengths and weaknesses of external RWD sources for respiratory studies.
• Develop, validate, and document analytical methods and models using SQL, R, and/or Python.
• Contribute to study reports, publications, and scientific presentations by producing high-quality statistical analyses and visualizations.