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# Clinical Data Scientist

- **Company:** CVS Health
- **Location:** United States (Remote available)
- **Salary:** $60,000.0
- **Contract:** Permanent contract
- **Skills:** Clinical Data Repository, Cloud Computing, Databases, Data Governance, Data Visualization, Data Warehousing, Query Languages, R (Programming Language), Python (Programming Language), Machine Learning, Microsoft SQL Server, Natural Language Processing, Practice Management Software, Power BI, SQL Databases, Text Mining, Large Language Models, Electronic Medical Records, Generative AI, Microsoft Fabric, Data Lakes, Pyspark, Information Technology, Machine Learning Operations
- **Published:** October 7, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pplfcha9xg

## About the Role

* 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

## Description

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.