IT Sr. Data Scientist - Clarity & Caboodle

Our team members are the heart of what makes us better.

At Hackensack Meridian Health we help our patients live better, healthier lives — and we help one another to succeed. With a culture rooted in connection and collaboration, our employees are team members. Here, competitive benefits are just the beginning. It’s also about how we support one another and how we show up for our community.

Together, we keep getting better - advancing our mission to transform healthcare and serve as a leader of positive change.

The IT Senior Data Scientist will join a collaborative team of extremely talented Analysts, Engineers, Designers, and Managers across the Hackensack Meridian Health (HMH) network. This role requires using data analysis, applied mathematics, machine learning (ML), and large language models to build next-generation predictive solutions and artificial intelligence tools that enable clinicians and other end-users within the organization to perform their work more efficiently and effectively.

In this role, there is a strong emphasis on using the agile development methodology to rapidly iterate and deploy impactful solutions within the healthcare organization.

This position will require you to travel onsite to Iselin, New Jersey, for 1 week each quarter.

This position will include heavy data analysis utilizing our hospital system EPIC Clarity and Caboodle.

• Bachelor's degree in STEM or another related/relevant field of study.
• Minimum of 4+ years of experience working in a data science role; or 5+ years of experience working in a data engineering, analyst, or architecture role.
• Extensive Python development experience.
• Extensive SQL experience.
• Proficient in developing and interpreting complex statistical models and a wide range of ML models.
• Excellent understanding of most aspects of clinical data;
  Very proficient with querying and using clinical data.
• Able to deploy custom ML/AI models to a cloud platform. Proficient in writing production code for complex models.
• Experience and ability to optimize LLM output with prompt engineering, model fine-tuning, and ability to create RAG pipelines.
• Can create custom model monitoring solutions as needed.
• Work effectively with team members and technical and non-technical stakeholders.
• Excellent written and verbal communication skills.
• Proficient computer skills including but not limited to Microsoft Office and Google Suite platforms.

• Master's / PhD.
• Minimum of 5+ years of data analysis experience in healthcare.
• Proficiency in Epic Clarity clinical data models.
• Experience with Google Cloud Platform (Big Query, VertexAI, etc).
• Experience with Git and Git Hub.
• Experience with Docker.

• Epic Clarity Data Model.
• Epic Clarity Clinical Data Model.
• Google Machine Learning Engineer Certification.