Remote Health Data Analyst – Nationwide – Turn Data into Lifesaving Insights

Join a mission‑driven team that transforms complex health datasets into actionable strategies for better patient outcomes. This fully remote position lets you work from anywhere in the U.S. while collaborating with clinicians, engineers, and product leaders to shape the future of healthcare analytics.

About the Role

As a Health Data Analyst, you will own the end‑to‑end analytics lifecycle for clinical, claims, and operational data. You’ll design dashboards, build predictive models, and deliver insights that directly influence care pathways, cost‑reduction initiatives, and regulatory reporting. The role demands a blend of statistical rigor, storytelling ability, and a passion for improving health equity through data.

Key Responsibilities

• Extract, clean, and integrate large‑scale health data from EHRs, claims warehouses, and wearable devices using SQL, Python, and cloud‑native tools.
• Develop and maintain interactive dashboards in Tableau/Power BI that surface KPIs for clinical leadership and payer partners.
• Design and validate predictive models (risk stratification, readmission, utilization) with a focus on interpretability and fairness.
• Collaborate with cross‑functional squads to translate business questions into analytical plans, then communicate findings to both technical and non‑technical audiences.
• Ensure compliance with HIPAA, HITECH, and emerging state privacy regulations throughout the data pipeline.
• Mentor junior analysts and champion best practices in reproducible research, version control, and documentation.

Requirements

• Bachelor’s degree in Biostatistics, Health Informatics, Data Science, or a related quantitative field; Master’s preferred.
• 3+ years of professional experience analyzing healthcare data (clinical, claims, or public health).
• Advanced SQL proficiency (window functions, CTEs, performance tuning) and hands‑on experience with Python (pandas, scikit‑learn, statsmodels) or R.
• Proven track record building production‑grade dashboards in Tableau, Power BI, or Looker.
• Solid understanding of healthcare data standards (FHIR, HL7, ICD‑10/11, CPT, DRG) and regulatory frameworks.
• Strong statistical foundation: hypothesis testing, survival analysis, mixed‑effects modeling, and model validation techniques.
• Excellent written and verbal communication skills; ability to distill complex findings into clear, actionable recommendations.

Preferred Qualifications

• Experience with cloud data platforms (Snowflake, BigQuery, Redshift) and orchestration tools (Airflow, dbt).
• Familiarity with machine‑learning ops (MLflow, Kubeflow) for deploying models in clinical settings.
• Publications or conference presentations in health data science.
• Certification such as Certified Health Data Analyst (CHDA) or AWS/GCP Data Engineering credentials.

Salary Range

$95,000 – $130,000 USD per year, commensurate with experience, education, and geographic cost‑of‑living adjustments. The package includes a performance‑based bonus target of up to 15 % of base salary.

Benefits

• 100 % remote work with a generous home‑office stipend ($1,500 annually).
• Comprehensive health, dental, and vision coverage for you and dependents.
• 401(k) match up to 5 % plus profit‑sharing contributions.
• Unlimited PTO, 12 paid holidays, and a dedicated “Wellness Week” each quarter.
• Continuous learning budget ($3,000/year) for courses, certifications, and conferences.
• Employee‑resource groups, mental‑health support, and quarterly virtual team‑building events.

Company Culture

We are a diverse, inclusive collective of data scientists, clinicians, and product thinkers united by a single purpose: making high‑quality healthcare accessible through evidence‑based insights. Transparency, psychological safety, and a bias‑for‑action mindset guide every decision. Our remote‑first philosophy means you’ll have the autonomy to structure your day while staying connected through async collaboration tools and weekly virtual stand‑ups.

How to Succeed in This Role

Success hinges on curiosity, rigor, and empathy. The ideal candidate continuously asks “why?” behind every metric, validates assumptions with domain experts, and advocates for data‑driven equity. You’ll thrive if you enjoy turning messy, high‑dimensional health data into clear narratives that empower clinicians to act, payers to optimize, and patients to benefit.