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Data Scientist - Imaging Data

Roles & Responsibilities

  • Master’s degree in Statistics, Mathematics, Data Science, or a related Life Sciences discipline.
  • Excellent SQL skills and experience querying complex healthcare databases; strong programming in R; Python experience is an advantage.
  • Experience with Imaging Data (CT scan reading in particular).
  • Familiarity with ADaM/SDTM datasets and clinical data structures; experience with the OMOP CDM; and experience with observational studies (no intervention).

Requirements:

  • 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.
  • Develop, validate, and document analytical methods and models using SQL, R, and Python; apply advanced statistical methods (e.g., regression models, Cox regression, Kaplan-Meier survival analysis) to generate robust insights.
  • Collaborate with internal and external teams to evaluate the strengths and limitations of Real-World Data sources for respiratory research; contribute to study reports, publications, and presentations through high-quality statistical analyses and visualizations.

Job description

About this role

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.

As part of our SRS/FSP team, you will be dedicated to one sponsor, a global pharmaceutical company that is an industry leader within its therapeutic area.

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).

  • Experience with Imaging Data (CT scan reading in particular) - a must-have

What We Offer

We provide opportunities for personal and professional growth in a rewarding environment. You will join a team that values collaboration, quality, and making a difference in the lives of patients.

Our core values of Trust, Quality, Passion, Flexibility, and Sustainability guide our decisions and shape our culture. By aligning on these values, we foster collaboration, innovation, and a shared commitment to excellence. Together, we make a difference.

A Bit More About Us

Our journey began over 30 years ago in Sweden, in the city of Lund. As a full-service global CRO, we build solution-driven teams working toward a healthier future. Bringing together over 600 professionals, TFS delivers tailored clinical research services in more than 50 countries, offering flexible clinical development and strategic resourcing solutions across key therapeutic areas including Dermatology, Neuroscience, Oncology, and Ophthalmology.

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