AI Summary / Key Details

  • Role: Remote Health Data Analyst – Work From Home – Join a Fast‑Growing Health Tech Team
  • Compensation: $25 - $45 / hr
  • Location: Remote
  • How to apply: Click the Apply Now button on this page to submit your resume.
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<a href="https://wehired.agency/jobs/" style="color:var(--primary-color); font-weight:600;">Remote</a> Health Data Analyst – Work From Home – Join a Fast‑Growing Health Tech Team

Are you passionate about turning raw health data into life‑saving decisions? Our innovative health‑tech company is looking for a detail‑orientated analyst who thrives in a fully remote environment. Bring your analytical expertise to a mission‑driven team and help shape the future of patient care.

Salary Range

$55,000 – $85,000 USD per year (based on experience, education, and market benchmarks for health data roles in the United States).

About the Role

As a Remote Health Data Analyst, you will work closely with epidemiologists, product managers, and software engineers to collect, clean, and interpret large datasets from electronic health records (EHR), wearables, and clinical trials. Your insights will directly influence product roadmap, improve patient outcomes, and support regulatory reporting.

Key Responsibilities

  • Extract, transform, and load (ETL) health data from multiple sources into a centralized data warehouse.
  • Develop and maintain dashboards using Tableau, Power BI, or Looker for internal stakeholders.
  • Perform statistical analyses (regression, survival analysis, propensity scoring) to identify trends and risk factors.
  • Collaborate with data engineers to improve data quality, provenance, and documentation.
  • Prepare clear, concise reports and visualizations for non‑technical audiences, including clinicians and senior leadership.
  • Stay current with HIPAA, GDPR, and other data‑privacy regulations to ensure compliance.

Requirements

  • Bachelor’s degree in Health Informatics, Biostatistics, Computer Science, or a related field (Master’s preferred).
  • 2+ years of professional experience analyzing healthcare data (EHR, claims, or clinical trial data).
  • Proficiency in SQL, Python (pandas, NumPy, SciPy) or R for data manipulation and statistical modeling.
  • Experience with data visualization tools (Tableau, Power BI, Looker) and building interactive dashboards.
  • Strong understanding of healthcare standards (HL7, FHIR) and data‑privacy laws.
  • Excellent communication skills – ability to translate complex findings into actionable recommendations.
  • Self‑starter with a proven track record of delivering high‑quality work independently in a remote setting.

Preferred Qualifications

  • Certification in Health Data Analytics (e.g., CPHIMS, AHIMA).
  • Experience with cloud platforms such as AWS, GCP, or Azure.
  • Familiarity with machine‑learning frameworks (scikit‑learn, TensorFlow) for predictive modeling.
  • Previous work in a fast‑paced startup or agile environment.

Benefits

  • Fully remote work – no commute, flexible schedule, and a home‑office stipend.
  • Competitive salary with annual performance bonuses.
  • Comprehensive health, dental, and vision insurance (company‑paid premiums).
  • 401(k) plan with employer match.
  • Generous paid time off, parental leave, and sick days.
  • Professional development budget for certifications, conferences, and online courses.
  • Virtual team events, wellness programs, and a supportive, inclusive culture.

Why Join Us?

Our mission is to empower clinicians with data‑driven tools that improve patient outcomes worldwide. As a remote employee, you’ll enjoy autonomy while being part of a collaborative, purpose‑focused team that values innovation, transparency, and continuous learning. Your work will have a tangible impact on real‑world health solutions.

How to Apply

If you’re excited to leverage your analytical expertise to drive meaningful change in healthcare, please submit your resume, a brief cover letter outlining your most relevant project, and any portfolio or GitHub links that showcase your data‑analysis work.

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