Data Scientist; Epic

🚨 Join Our Client as a Data Scientist (Epic) - Fully Remote but must reside in Georgia or Atlanta.

Our Client is a leading organisation within the healthcare industry, recognised for their innovative approach to improving patient outcomes and advancing healthcare data analytics. Known for fostering a collaborative and forward‑thinking culture, they are committed to growth, continuous learning, and making a tangible impact in the world of healthcare. This is an exciting environment for professionals eager to leverage their expertise to shape the future of clinical decision‑making.

Due to ongoing strategic initiatives aimed at enhancing clinical data utilisation and operational efficiency, our Client is seeking a seasoned Data Scientist specialising in clinical analytics. This pivotal role is designed to be a central part of their data‑driven transformation, offering an opportunity to develop predictive models that directly influence patient care and organisational performance. The position presents a chance to work on innovative projects in a dynamic, remote working environment, contributing to healthcare advancements on a meaningful scale.

• Design and implement advanced predictive models for metrics such as hospital length of stay, patient retention, transfer risk, and process bottleneck identification.
• Develop and refine NLP pipelines to analyse clinical documentation accurately and efficiently.
• Utilise SQL and Python, R, or SAS to extract, process, and analyse healthcare datasets, ensuring compliance with relevant standards.
• Work with Epic EHR data to support clinical decision support and analytics initiatives.
• Maintain HIPAA compliance and adhere to HL7/FHIR standards throughout all data handling and analytics processes.
• Support the integration of machine learning and AI techniques to optimise clinical workflows and patient outcomes.
• Act as a mentor to junior data scientists, fostering team growth and knowledge sharing.

• A minimum of five years' experience in healthcare or data analytics, demonstrating a strong understanding of clinical data environments.
• At least two years working with payor organisations or healthcare providers.
• Proficient in SQL & Python.
• Demonstrable expertise in statistical modelling, machine learning, artificial intelligence, and NLP.
• Experience working with Epic EHR systems or equivalent clinical data platforms.
• Knowledge of cloud‑based ML pipelines and clinical workflow optimisation.
• Strong communication skills with the ability to translate complex analysis into clear recommendations.
• Proven leadership or mentorship skills, capable of guiding junior team members.

• Familiarity with HL7 and FHIR interoperability standards.
• Experience building within AI, GenAI or LLM's
• Epic Certified

If you are a dedicated healthcare data scientist with a passion for transforming clinical data into meaningful insights, we invite you to submit your resume for consideration. This is an outstanding opportunity to be part of a forward‑thinking organisation committed to making a real difference in healthcare. We look forward to welcoming candidates who meet the above criteria and are eager to contribute to impactful projects in a remote setting.