CLINICAL DATA SCIENTIST

NORTH EAST MEDICAL SERVICES•Daly City, CA

About The Position

The Clinical Data Scientist serves as a strategic bridge between clinical operations, Epic analytics and research initiatives at NEMS. This role will design, build, and validate reproducible analytical workflows and machine learning models using clinical and real‑world data (EHR, claims, registries) to answer clinical and operational questions, support research and product development, and enable data‑driven decision making across the organization.

Requirements

Clinical Degree: MD, DO, NP, PA, PharmD, or equivalent clinical training with active understanding of clinical workflows, diagnoses, and treatment protocols preferred
MS in Data Science, Biostatistics, Epidemiology, Computer Science, Biomedical Informatics, or related quantitative discipline (or equivalent experience or related field).
5+ years’ experience working with clinical or real‑world healthcare data (EHR, claims, registries) in applied analytics or research settings
Experience working with underserved or immigrant populations; cultural competency and multilingual skills highly valued
Epic Certification required or must obtain within 6 months of hire
Data Visualization tools (Power BI, Tableau or similar)
Strong programming skills in Python and/or R; proficiency with SQL for large‑scale data extraction and manipulation
Deep understanding of quality measures (HEDIS, eCQM), value-based care models and population health principles
Experience with healthcare data standards and APIs (FHIR, HL7) and common EHR systems (Epic, Cerner) preferred
Strong analytical rigor and attention to detail
Excellent written and verbal communication skills with experience presenting technical results to clinicians and stakeholders
Proactive problem solver with a bias for reproducible, production‑quality work
Comfortable with ambiguity and rapidly evolving requirements in healthcare settings
Must be able to fluently speak, read and write English
This is an FLSA Exempt position.
This is not an OSHA low-risk position.
This is a Full Time position.

Nice To Haves

Fluent in Chinese (Cantonese and/or Mandarin), Vietnamese, Spanish and other languages preferred
Fluency in other languages are an asset

Responsibilities

Acts as liaison between IT, clinical informatics, operations and research teams to ensure alignment on clinical data strategy
Designs and executes study and analysis plans for clinical research, outcome measurement, and predictive modeling.
Analyzes patient populations to identify care gaps, utilization patterns, and opportunities for preventive interventions
Supports value-based care initiatives by calculating and monitoring quality measures that impact reimbursement and funding
Collaborates with care management, population health and other operational teams where needed to optimize provider engagement, patient engagement and outreach campaigns
Partners with interdepartmental leaders, clinical directors and quality teams to gather requirements and prioritize analytics projects
Serves as SME for analytics team; validates clinical workflows and data definitions
Extracts, cleans, harmonizes, and curates clinical and real‑world datasets (EHR, claims, labs, device data), ensuring provenance and reproducibility.
Develops feature engineering pipelines and statistical or machine‑learning models (risk scores, phenotyping algorithms, prognostic/predictive models)
Validates models using appropriate methods (cross‑validation, temporal validation, external cohorts) and assesses fairness, calibration, and clinical utility
Collaborates closely with clinicians, biostatisticians, product managers, and engineers to translate clinical questions into analytic specifications and actionable outputs
Implements production‑ready pipelines and supports model deployment, monitoring, and lifecycle management (versioning, performance tracking, drift detection)
Ensures compliance with data governance, privacy, and security requirements (HIPAA best practices); participates in data access and IRB processes as needed
Produces clear, reproducible documentation, analysis code, technical reports, and visualizations for both technical and non‑technical stakeholders
Contributes to team best practices: code review, unit/integration testing for analytics code, and reproducible research practices (notebooks, containers, CI/CD)
Tracks project timelines, deliverables and stakeholder satisfaction metrics using project management tools – Jira or similar
Performs other job duties as required by manager/supervisor