Remote Health Data Analyst – Work From Anywhere – Join a Fast‑Growing Health Tech Team!

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Are you a data‑driven problem‑solver with a passion for improving patient outcomes? Our innovative health‑tech company is looking for a remote Health Data Analyst to turn raw data into actionable insights that shape the future of digital health. Enjoy a flexible schedule, competitive compensation, and a collaborative culture—no commute required.

Salary Range

Estimated Total Compensation: $55,000 – $75,000 USD per year (base salary plus performance bonuses). This range reflects industry standards for remote health‑data positions in the United States.

About the Role

As a Remote Health Data Analyst, you will partner with product managers, clinicians, and engineers to extract, clean, and model large‑scale health datasets. Your analyses will directly influence product roadmaps, clinical decision‑support tools, and population‑health strategies. You’ll work from your home office, using cloud‑based analytics platforms, while staying aligned with a globally distributed team.

Key Responsibilities

• Collect, validate, and transform data from EMR systems, wearables, and health‑apps.
• Develop dashboards and visualizations (Tableau, Power BI, Looker) that communicate trends to non‑technical stakeholders.
• Perform statistical analyses (regression, survival analysis, propensity scoring) to evaluate treatment efficacy and patient risk.
• Collaborate with data engineers to design scalable data pipelines on AWS or GCP.
• Document methodologies, maintain data dictionaries, and ensure compliance with HIPAA and GDPR.
• Present findings in weekly virtual meetings and create concise executive summaries.

Requirements

• Bachelor’s degree in Health Informatics, Biostatistics, Computer Science, or a related field (Master’s preferred).
• 3+ years of experience analyzing clinical or population‑health data.
• Proficiency in SQL, Python (pandas, NumPy, scikit‑learn) or R.
• Hands‑on experience with data‑visualization tools (Tableau, Power BI, Looker).
• Familiarity with cloud data warehouses (Redshift, BigQuery, Snowflake).
• Strong understanding of healthcare regulations (HIPAA, HITECH, GDPR).
• Excellent communication skills—able to translate complex analytics into clear business recommendations.
• Self‑motivated, comfortable working independently, and adept at time‑zone coordination.

Nice‑to‑Have Skills

• Experience with machine‑learning pipelines for predictive health modeling.
• Knowledge of HL7/FHIR standards.
• Previous work in a SaaS health‑tech startup environment.
• Certification in Data Science or Health Informatics (e.g., CDIP, Certified Health Data Analyst).

Benefits & Perks

• Fully remote – work from anywhere in the United States.
• Flexible hours and a results‑oriented work culture.
• Comprehensive health, dental, and vision insurance.
• 401(k) match up to 5%.
• Annual professional development stipend ($2,000) for conferences, courses, or certifications.
• Generous paid time off (25 days) plus company‑wide holidays.
• Home office allowance ($1,000) for ergonomic furniture or tech upgrades.
• Virtual wellness programs, meditation sessions, and monthly team‑building activities.

Why Join Our Team?

We are a fast‑growing health‑tech company backed by leading investors, dedicated to democratizing access to high‑quality care through data‑driven solutions. Our remote‑first philosophy means you’ll have the autonomy to shape your workflow while being part of a mission‑focused community that celebrates diversity, continuous learning, and impact.

How to Apply

If you’re ready to turn data into better health outcomes and thrive in a fully remote environment, submit your résumé and a brief cover letter highlighting a recent health‑data project you’re proud of. We review applications on a rolling basis and will be in touch shortly.

Equal Opportunity Employer

We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, genetics, disability, age, or veteran status.

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