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Research Data Scientist - UCL
Data Scientist
Research Data Scientist to develop advanced analytical models and machine learning solutions for translational medical research, leveraging Python, R, and SQL to extract insights from complex biomedical datasets.
About the role
Key Responsibilities
- Design, implement, and validate predictive models and machine learning pipelines to support translational research projects.
- Analyze large-scale biomedical datasets using Python and R, performing statistical modeling and hypothesis testing.
- Collaborate with clinicians, scientists, and engineers to translate research questions into analytical solutions.
- Develop reproducible data workflows, document methodologies, and maintain version-controlled code repositories.
- Present findings to multidisciplinary teams, translating complex analyses into actionable insights.
Requirements
- Strong programming skills in Python and R, with experience in data manipulation, visualization, and machine learning libraries.
- Proficiency in SQL for data extraction and management from relational databases.
- Solid foundation in statistical methods and experience applying them to biomedical data.
- Excellent communication skills and ability to work collaboratively in a cross‑disciplinary environment.
- Experience in translational or life‑sciences research is highly desirable.
Skills
pythonmachine learningdata analysissql