IT Sr. Data Scientist

Hackensack Meridian Health is hiring an IT Senior Data Scientist for onsite work in Iselin, NJ.

Responsibilities

• Partner with HMH stakeholders to capture objectives, brainstorm AI/ML approaches, and document solution paths.
• Lead exploratory data analysis to assess available data for each business objective and evaluate fit for AI/ML solutions.
• Optimize Large Language Model (LLM) output using prompt engineering; build RAG pipelines.
• Develop AI/ML models aligned to business goals using available data; evaluate model options and determine optimal approaches and performance characteristics.
• Create repeatable, interpretable, and scalable models that integrate into analytic data products.
• Engineer features by applying business context to combine data sources in new ways.
• Write production-quality pipeline code to load data, run models, and store results.
• Run AI/ML analyses including fairness, bias, and equity audits, performance assessments, impact assessments, and interpretability reporting.
• Develop Python code that works cohesively with data engineers, software engineers, and data analysts.
• Communicate ML/AI methodology and impact to senior management to support strategic decision-making.
• Proactively communicate with stakeholders about concerns related to changes in work schedules.
• Lead and manage complex projects with multiple stakeholders and teams; build and maintain relationships with senior management and clients.
• Mentor and coach junior team members on ML/AI techniques and best practices; set goals and expectations for project teams.
• Adhere to HMH organizational competencies and standards of behavior.
• Perform other duties and/or projects as assigned.

Requirements

• Bachelor’s degree in STEM or a related/relevant field.
• 4+ years of experience in a data science role, or 5+ years in a data engineering, analyst, or architecture role.
• Extensive Python development experience.
• Extensive SQL experience.
• Proficiency developing and interpreting complex statistical models and a range of machine learning models.
• Strong understanding of clinical data, including very proficient querying and use of clinical data.
• Ability to deploy custom ML/AI models to a cloud platform and write production code for complex models.
• Experience optimizing LLM output with prompt engineering and model fine-tuning, plus the ability to create RAG pipelines.
• Ability to create custom model monitoring solutions as needed.
• Ability to work effectively with technical and non-technical stakeholders.
• Excellent written and verbal communication skills.
• Proficiency with computer tools including Microsoft Office and Google Suite.

Preferred

• Master’s / PhD.
• 5+ years of data analysis experience in healthcare.
• Proficiency in Epic Clarity clinical data models.
• Experience with Google Cloud Platform (e.g., BigQuery, VertexAI).
• Experience with Git and GitHub.
• Experience with Docker.

Education, Certifications, and Licenses (Preferred)

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

Technologies

• Python, SQL
• Large Language Models (LLM), RAG
• Epic Clarity, Caboodle
• Git, GitHub, Docker
• Google Cloud Platform, BigQuery, VertexAI
• Google Suite, Microsoft Office

Compensation

• USD 171,662 per year

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• Paid leave
• Tuition reimbursement
• Retirement benefits

Travel Requirements

• Onsite travel to Iselin, New Jersey for 1 week each quarter.