Data Scientist

Job Title: Data Scientist – Real-World Evidence (Remote, UK)
Employment Type: Full-time

Company Overview:
We are a fast-growing healthcare analytics company transforming how real-world evidence (RWE) is generated and applied. Using high-quality, deidentified U.S. health data, we deliver actionable insights that inform clinical research, improve treatment effectiveness, and enhance patient outcomes. Our work sits at the intersection of data science, healthcare, and innovation.

We’re looking for a Data Scientist who is excited to work with healthcare data and who wants to contribute to meaningful analytics that drive real-world impact.

Key Responsibilities:

• Analyze deidentified U.S. healthcare data—including clinical report forms and survey data—collected through electronic data capture (EDC) systems.

• Design and execute RWE studies, such as cohort analyses and treatment effectiveness evaluations, using R and RStudio.

• Create statistical summaries, visualizations, and reports that clearly communicate findings to both technical and non-technical stakeholders.

• Ensure data privacy and compliance with U.S. healthcare regulations such as HIPAA.

• Collaborate with cross-functional teams across regions, sharing analytical insights and refining study approaches.

• Contribute to the evolution of internal data analysis processes by recommending best practices and improved methodologies.

Qualifications:

• 2+ years of experience working with healthcare datasets (e.g., claims, EHR, clinical trial data), ideally with U.S.-based sources.

• Degree (or higher) in Data Science, Biostatistics, Epidemiology, or a related field.

• Proficiency in R for statistical analysis (RStudio experience preferred).

• Familiarity with EDC systems and healthcare data structures.

• Excellent communication skills and ability to distill complex analyses into clear, actionable insights.

Preferred Skills:

• Understanding of HIPAA compliance and data anonymization methods.

• Experience with SQL or additional tools such as Python or SAS.

• Background in producing RWE deliverables or contributing to published studies.

Why Join?

• Work remotely from anywhere in the UK in a collaborative, fast-paced environment.

• Contribute to real-world healthcare research that impacts patient care.

• Join a team passionate about data, healthcare, and innovation.

• Grow your skills in a role that blends analytics with purpose.

If you're ready to apply your analytical skills to meaningful healthcare data challenges, we want to hear from you.