Data Scientist

NewYork-Presbyterian Hospital

1d•$74,000 - $111,000•Onsite

About The Position

The Data Scientist is responsible for the evaluation of deployed interventions across the healthcare system. They will design evaluation methods to assess the performance and impact of decision support systems, both process interventions and AI powered solutions. This role works closely with stakeholders to ensure models are safe, interpretable, and aligned with organizational goals.

Requirements

Bachelor’s or Master’s degree in a quantitative field (or equivalent experience)
Strong Python/R programming and SQL skills
3+ years of experience with evaluation design and ML model validation
Working knowledge of HIPAA and PHI handling requirements
Strong documentation practices and commitment to reproducibility

Nice To Haves

Experience with prospective experimental design methods.
Experience developing novel measures from complex EHR data elements and workflows
Strong experience analyzing and deriving insights from complex healthcare data, including EHR and claims.

Responsibilities

Engineer high-quality metrics (process, performance, and/or outcome) for validation and impact evaluations.
Design novel retrospective, prospective, quasi-experimental, and experimental evaluation methods.
Conduct error analysis, fairness checks, and bias detection
Monitor model and/or intervention performance in production and respond to drift
Translate stakeholder needs into measurable evaluation requirements
Document evaluation decisions and maintain reproducible workflows
Collaborate across teams to ensure evaluations drive meaningful decision making
Performs other special projects and duties as assigned.