Clinical Data Scientist

Why Oviva?

To build a healthier future for all! Our mission is to provide the most accessible and effective care to people with weight-related conditions.

By blending behaviour change therapy with our unique technology and an incredible team of passionate employees, we create affordable and accessible app-based healthcare programmes to tackle conditions such as obesity and Type 2 diabetes.

We are an award-winning and the largest digital health provider in Europe, rapidly expanding across the UK, Switzerland, Germany, France, and now Poland. You will be joining an organisation that has treated over 500,000 patients to date and is opening a new shared service in Poland to support our global operations.

The role:

This role bridges clinical research with data science, helping drive data-informed decision-making throughout the clinical development lifecycle (i.e. in clinical trials and real-world evidence generation).The role will collaborate with clinical operations, science, clinical delivery, data and quality managers, and external stakeholders to ensure high-quality data collection and management, advanced statistical analyses, and reporting in compliance with regulatory and scientific standards.

We are looking for a Clinical Data Scientist within our Clinical Research and Innovation workstreams to drive Oviva’s mission of enhancing long-term health outcomes through advanced data-driven strategies. In this role, you will use your strong technical expertise to deeply organise and analyse our data, aiming to drive improvements in patient outcomes in our 

markets.

To succeed in this role, you should have a strong background in statistics, strong analytical skills, exceptional problem-solving skills, and superior communication skills, and a dedication to support Oviva’s vision of accessible and effective healthcare solutions.

Key responsibilities:

• Work closely with our Clinical Research, Innovation and Quality teams to implement data-driven solutions

• Data Analysis & Interpretation: Use statistical models and machine learning to assess clinical data for efficacy, safety, optimising study design and monitoring

• Clinical Data Management: Design and manage data pipelines to ensure clean, accurate trial and real-world evidence data. Address discrepancies and ensure data quality

• Regulatory Compliance: Prepare reports for regulatory authorities, ensuring all analyses adhere to GCP and regulatory standards

• Data Visualization & Reporting: Create visualisations, dashboards, and reports for stakeholders, summarising clinical trial outcomes.

• Document findings and communicate insights to relevant stakeholders in a clear and concise manner