Healthcare AI Data ScientistHealthTECH Resources Inc. • WorkFromHome, New Zealand

Healthcare AI Data Scientist

HealthTECH Resources Inc. • WorkFromHome, New Zealand

8 hours ago

Job description

Position Overview

We’re seeking a Healthcare AI Data Scientist to transform complex healthcare data into actionable insights that improve patient outcomes. In this role, you’ll analyze massive datasets from electronic health records, claims systems, and medical devices to uncover patterns, build predictive models, and inform strategic decisions. You’ll collaborate with clinical teams, ML engineers, and hospital executives to translate data into stories that drive healthcare transformation.

Location : Remote (U.S. based) with quarterly on-site meetings

Salary Range : $110,000 – $150,000 + Performance Bonus

Employment Type : Full-Time

Key Responsibilities

Data Analysis & Insights

Analyze complex healthcare datasets including EHRs (Epic, Cerner), claims (CMS, commercial payers), and patient-generated data
Conduct exploratory data analysis to identify trends, anomalies, and opportunities for AI-driven interventions
Build dashboards and visualizations that communicate complex findings to non-technical stakeholders
Perform statistical analysis to validate hypotheses and measure the impact of healthcare interventions

Predictive Modeling & ML

Develop predictive models for clinical outcomes : readmission risk, disease progression, treatment response

Build risk stratification models to identify high-risk patient populations for preventive interventions

Create propensity score models for causal inference in observational healthcare data

Implement recommendation systems for treatment pathways and care coordination

Research & Experimentation

Design and execute A / B tests to measure the effectiveness of AI-driven clinical interventions

Conduct retrospective studies using real-world evidence (RWE) to answer clinical research questions

Publish findings in peer-reviewed journals and present at healthcare data science conferences

Stay current with healthcare AI research and translate academic findings into practical applications

Collaboration & Communication

Partner with clinicians to frame business problems as data science questions

Work with ML engineers to productionize research models into scalable systems

Present insights to hospital executives, translating technical findings into strategic recommendations

Mentor junior data analysts and contribute to team knowledge sharing

Data Quality & Governance

Assess data quality issues and develop strategies for cleaning, imputing, and validating healthcare data

Implement data governance practices that ensure patient privacy and regulatory compliance

Document data lineage, model assumptions, and analytical methodologies

Conduct bias audits to ensure equitable AI outcomes across patient demographics

Required Qualifications

Education

Master’s degree in Data Science, Biostatistics, Epidemiology, Health Informatics, or related quantitative field

PhD preferred for research-focused roles

Bachelor’s degree with 5+ years healthcare analytics experience considered

Experience

3+ years of experience as a data scientist, preferably in healthcare or life sciences

Proven experience analyzing healthcare data (EHRs, claims, clinical trials, population health)

Track record of delivering data science projects from ambiguous requirements to actionable insights

Experience presenting analytical findings to executive leadership and clinical stakeholders

Technical Skills

Programming & Analysis

Expert proficiency in Python (pandas, NumPy, scikit-learn) or R (tidyverse, caret)

Advanced SQL skills for complex queries across relational databases

Experience with statistical analysis : hypothesis testing, regression modeling, survival analysis

Proficiency with ML libraries : scikit-learn, XGBoost, LightGBM

Visualization & Communication

Expert-level data visualization skills using Tableau, Power BI, or matplotlib / ggplot2

Ability to create executive dashboards that tell compelling data stories

Experience with tools like Jupyter notebooks, R Markdown for reproducible research

Healthcare Analytics

Understanding of healthcare data structures : EHR schemas, claims formats (837, FHIR)

Knowledge of medical coding systems : ICD-10, CPT, SNOMED, LOINC

Familiarity with healthcare quality metrics : HEDIS, CMS Star Ratings, readmission rates

Experience with healthcare-specific statistical methods : risk adjustment, case mix index

Cloud & Big Data (Preferred)

Experience with cloud data warehouses : Snowflake, Redshift, BigQuery

Knowledge of distributed computing : Spark, Dask for large-scale data processing

Familiarity with data orchestration tools : Airflow, dbt

Preferred Qualifications

Clinical background (RN, MD, PharmD) or public health degree (MPH, DrPH)

Experience with longitudinal data analysis and time-series forecasting

Published research in healthcare data science (NEJM Evidence, JAMIA, JMIR)

Knowledge of causal inference methods : propensity scores, instrumental variables, difference-in-differences

Experience with natural language processing on clinical text

Certifications : Certified Health Data Analyst (CHDA), SAS Certified Data Scientist

Core Competencies

Analytical Thinking : Structured approach to breaking down ambiguous problems

Statistical Rigor : Deep understanding of when and how to apply statistical methods

Storytelling : Transform numbers into narratives that inspire action

Healthcare Passion : Genuine interest in improving patient care through data

Collaboration : Bridge technical and clinical worlds effectively

Ethical Awareness : Commitment to responsible, equitable AI in healthcare

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Data Scientist • WorkFromHome, New Zealand

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