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.

Role Overview

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.

Key Responsibilities

• 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 optimize clinical workflows and patient outcomes.


• Act as a mentor to junior data scientists, fostering team growth and knowledge sharing.

Ideal Candidate Profile

• 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.

Desirable but Not Essential

• Familiarity with HL7 and FHIR interoperability standards.


• Experience building within AI, GenAI or LLM's


• Epic Certified

Apply Now
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.