Senior Clinical Data Scientist

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🕒 March 20

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TFS HealthScience - Contract Research Organization

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2007

🧬 Biotechnology

💊 Pharmaceuticals

⚕️ Healthcare Insurance

Biotechnology • Pharmaceuticals • Healthcare Insurance

TFS HealthScience is a leading global Contract Research Organization (CRO) that partners with biotechnology and pharmaceutical companies to advance clinical development. They offer a wide range of solutions including phase I-III clinical development, real-world evidence (Phase IV) studies, and strategic resourcing solutions. TFS HealthScience specializes in multiple therapeutic areas such as dermatology, internal medicine, neuroscience, oncology and hematology, ophthalmology, pediatrics, rare diseases, and orphan drugs. They aim to bring treatments to patients faster by combining their full-service capabilities and global reach with the flexibility and personalized approach of a mid-size CRO.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• Flexible working arrangements • Professional development opportunities