Healthcare Data Scientist (AI)

Location: Not specified

Company

hirify.global is an AI-native healthcare platform and consulting company using automation, analytics, and advisory services to improve employer healthcare management.

What you will do

• Build predictive models and analytics pipelines for healthcare benefits, including cost prediction, risk stratification, claims anomaly detection, and population health segmentation.
• Analyze large-scale medical claims, pharmacy, enrollment, and biometric datasets.
• Create visualizations and dashboards that translate healthcare data into actionable client and consulting insights.
• Conduct regression, survival analysis, causal inference, and other statistical analyses to evaluate benefits interventions and plan design changes.
• Partner with research and LLM engineering colleagues on quantitative models, training datasets, and evaluation metrics.
• Build data-quality monitoring systems, research privacy-preserving techniques, and present findings to technical, non-technical, client, and C-suite audiences.

Requirements

• 3+ years of experience in data science, applied machine learning, or advanced analytics, preferably in healthcare, insurance, or benefits.
• Strong proficiency in Python, including pandas, scikit-learn, XGBoost, TensorFlow, or PyTorch, and SQL.
• Experience with medical and pharmacy claims, eligibility files, cost metrics, and utilization metrics.
• Strong foundation in hypothesis testing, regression, Bayesian methods, and experimental design.
• Experience building and deploying machine learning models in production environments.
• Proficiency with Tableau, Power BI, Plotly, or similar data visualization tools.
• Strong communication skills and the ability to present data insights to non-technical audiences.

Nice to have

• Experience with self-funded employer health plan analytics, stop-loss modeling, or actuarial analysis.
• Knowledge of ICD-10, CPT, NDC, FHIR, or HL7 healthcare data standards.
• Experience with AWS, GCP, Azure, Spark, or Databricks.
• Background in health economics, outcomes research, or epidemiology.
• Experience applying NLP or LLMs to healthcare text such as clinical notes, plan documents, or formularies.
• Published research in health informatics, data science, or applied machine learning.
• Experience with HIPAA, data privacy, and de-identification techniques.
• Master's degree or PhD.

Culture & Benefits

• Flexible work arrangements.
• Competitive salary and comprehensive benefits.
• Direct mentorship from senior leadership in a fast-paced, flat organizational structure.
• Collaboration with sales, consulting, and product teams, with exposure to enterprise sales, consulting, and product development.
• Opportunity to work on AI-driven healthcare innovation with high visibility and direct reporting to leadership.

Hiring process

• Email a resume to careers@hirify.global.
• Use the subject line “Medical AI Advisory Scientist - [Your Name]” and include a brief note explaining why you are the A+ player sought for the role.