Job Title: Data Scientist Job Location: United Kingdom Job Location Type: Remote Job Contract Type: Full-time Job Seniority Level: Entry level 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. 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. Qualifications 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. Qualifications Required Master’s degree in Statistics, Mathematics, Data Science, or a related Life Sciences discipline. Demonstrated experience working with large datasets, preferably healthcare data. Proficiency in SQL. Strong programming skills in R and/or Python. Nice to have Hands-on experience with EMR/health data, disease registries, and/or insurance claims databases (US or UK). Knowledge of clinical data standards, medical terminologies, and controlled vocabularies (ICD9/10, SNOMED). Familiarity with OMOP Common Data Model and OMOP tools. Previous experience conducting analyses for COPD. What We Offer We provide a competitive compensation package, comprehensive benefits, and the opportunity for personal and professional growth in a rewarding environment. You’ll be joining a team that values collaboration, innovation, and making a difference in the lives of patients. 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. Together we make a difference This job is curated by Lifelancer. Lifelancer is a talent-hiring platform in Life Sciences, Pharma and IT. The platform connects talent with opportunities in pharma, biotech, health sciences, healthtech and IT domains. Please apply via Lifelancer platform to get connected to the application page and to find similar roles.