IT Lead Data Scientist

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 Information Technology (IT) Lead 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 (AI) 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 1 full week onsite per quarter and 1 additional onsite day per month.

• Bachelor’s degree in STEM or another related/relevant field of study; and Master’s degree in data science-related area.
• Minimum 6+ years of experience working in a data science role.
• Expert‑level Python development experience.
• Expert‑level SQL experience.
• Proficient in developing and interpreting complex statistical models.
• Deep expertise in at least one aspect or area of data acquisition, cleaning, and curation; EDA; or statistical analysis.
• Excellent understanding of most aspects of clinical data; very proficient with querying and using clinical data; deep expertise in at least one aspect or area of clinical data.
• Excellent understanding of a wide range of ML models. Able to improve model performance with complex feature engineering and hyperparameter tuning. Ability to design and implement complex machine learning pipelines. Deep expertise in at least one aspect of machine learning.
• Expertise in prompt engineering methodology, model fine‑tuning, and ability to create RAG pipelines.
• Can create custom monitoring solutions as needed. Deep expertise in at least one area of ML Ops.
• 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.

• PhD degree.
• Minimum of 6+ years of data analysis experience in healthcare.
• Proficiency in Epic Clarity clinical data models.
• Experience with Google Cloud Platform (Big Query, Vertex
  
  AI, etc).
• Experience with Git and Git Hub.
• Experience with Docker.

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