Join CVS Group, where it's in our nature to care, support, learn and progress, as a Clinical Data Scientist!
At CVS Veterinary Group, our purpose is to provide the best possible care to animals. Our vision is to be the veterinary company people most want to work for.
We are an international integrated veterinary services provider which delivers to clients through four business areas; our veterinary practices, diagnostic laboratories and e-commerce division. Our success is derived from the passion our people have for animals and for making pets a priority, it's what is at the heart of our work, every day.
The Opportunity:
We are looking for a Clinical Data Scientist to lead the application of analytics and health data science to support evidence-based veterinary medicine across CVS. Working closely with the clinical leadership, research and Data & Technology teams, the role will transform veterinary clinical data into actionable insights to improve patient outcomes, clinical standards, operational effectiveness, and research capability.
The successful candidate will be responsible for developing reporting solutions for relevant clinical colleagues to support teams and helping leadership to identify areas for improvement. The role will develop innovative analytical approaches using structured electronic health record data. The role will also support us in advancing our capabilities to analyse our unstructured clinical data through the application of machine learning, natural language processing & predictive analytics.
They will support clinical improvement programmes, research studies and strategic initiatives, whilst helping shape CVS's long-term clinical data strategy and analytical capabilities.
This is a remote position, with some travel to meetings.
What You'll Do
- Support clinical improvement and clinical research, under the direction of the Director of Research & Data Science.
- Lead the analysis of veterinary clinical datasets, including electronic health record (EHR) data from our unified practice management system, to generate actionable insights.
- Develop and maintain data visualisation dashboards for clinical improvement.
- Develop and apply statistical, machine learning and AI methodologies to support clinical decision-making and patient outcomes.
- Analyse structured data and start us on the journey of exploring our unstructured clinical data, including free-text clinical notes.
- Work with a range of clinical colleagues and clinical leadership teams, to understand data requirements and deliver innovative solutions aligned to our evolving clinical strategy and objectives.
- Collaborate and contribute to the analysis and reporting for research and quality improvement projects.
- Design, maintain and optimise data models, analytical workflows and reporting solutions.
- Translate complex analyses into clear, impactful insights and recommendations for a range of stakeholders.
- Ensure all analytical activities adhere to data governance, quality and reproducibility standards.
What You'll Bring
Technical skills:
- Post-graduate training in health data science, epidemiology, statistics, computer science, or a related discipline (PhD preferred, or Master's degree).
- A degree in veterinary, medical or related clinical sciences is desirable.
- Strong experience working with large scale health data, research databases or electronic health record datasets.
- Experience of Microsoft focused data visualisation tools/systems such as Power BI.
- Experience with statistical modelling, machine learning and predictive analytic techniques.
- Expertise in technical scripting, data querying languages and/or statistical software (e.g. SQL, Python, R) and experience implementing best practices, guidance, and standards.
- Experience working with data lakes and data warehouses using on-premise servers and cloud-based systems (e.g. SQL server, Microsoft Fabric, PySpark).
- Familiar with unsupervised text mining, MLOps, Large Language Models or generative AI technology is desirable.
Further skills:
- Good organisational skills: with experience managing multiple projects, able to develop and manage project plans, meet deadlines and reprioritise based on business needs
- Ability to build strong business relationships with multiple stakeholders, including senior leadership. A team player with good interpersonal skills.
- Motivated and resourceful: Ability to problem solve and be a self-starter. Motivated, well-organised and ability to work on own initiative.
- Presentation & Communication skills: ability to effectively tell the story through data & visualisations.
- Proven ability to record and document clear, accurate information
Benefits:
- Competitive Salary: up to £60,000 DOE
- Generous Leave: Start with 6 weeks of leave per year, as well as a buy/sell holiday scheme
- Pension Scheme: Enjoy a pension matched up to 6%.
- Health Cash Plan: Save on everyday health treatments.
- Flexible Benefits: Access discounted gym memberships, cycle to work scheme, and more.
At CVS Group, we celebrate diversity and are committed to creating a safe and inclusive environment where everyone can bring their authentic selves to work. Join us and be a vital part of our mission to prioritize the well-being of pets everywhere. Apply today to become a valued member of our team!
Post-graduate training in health data science, epidemiology, statistics, or computer science (PhD preferred or Master's); strong experience with large-scale health data; expertise in SQL, Python, R; experience with Power BI, data lakes, and cloud systems.
Key Responsibilities
- analyzing clinical data
- developing dashboards
- applying machine learning
Skills & Tools
Power BI, SQL, Python, R, Microsoft Fabric, PySpark
Job Details
- Category: Data and Analytics
- Seniority: Mid Level
- Commitment: Full Time
- Workplace: Remote — United Kingdom
- Salary: GBP 60,000 – 60,000 / year
- Languages: English
Benefits
- 401k matching
- Generous paid time off
- Retirement plan
About CVS Group
An international integrated veterinary services provider delivering care through practices, diagnostic laboratories, and e-commerce. — Industry: Healthcare