AI Summary / Key Details

  • Role: Remote Health Data Analyst – Nationwide Opportunities – Unlock the Power of Health Data
  • 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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Join a forward‑thinking health analytics team where your insights directly influence patient outcomes and operational excellence. In this role you will transform complex health data into actionable strategies, working remotely with a collaborative, mission‑driven team that values innovation and ethical data use.

About the Role

VitalAnalytics Corp is seeking a meticulous Health Data Analyst to join our fully remote workforce. You will partner with clinical, operational, and product stakeholders to extract, cleanse, and analyze health data from electronic health records, claims databases, and public health sources. Your work will guide evidence‑based decision‑making, improve population health metrics, and support the development of innovative health solutions that shape the future of care.

Key Responsibilities

  • Design and maintain scalable data pipelines that ingest and normalize large‑scale health datasets from multiple sources.
  • Conduct statistical analysis and predictive modeling to uncover trends in patient outcomes, disease progression, and treatment efficacy.
  • Create interactive dashboards and visual reports that translate complex findings into clear, actionable insights for executives and cross‑functional teams.
  • Collaborate with clinicians, product managers, and policy experts to define data requirements and translate business questions into analytical solutions.
  • Ensure data quality, compliance with HIPAA regulations, and adherence to industry best practices throughout the analytics lifecycle.

Requirements

Education and Experience

Candidates must hold a Bachelor’s degree in Health Informatics, Data Science, Statistics, or a closely related field; a Master’s degree is strongly preferred. Applicants should have a minimum of three years of professional experience analyzing health or biomedical data, with proven expertise in SQL, Python, and statistical programming.

Technical Skills

Proficiency in SQL, Python (including pandas and scikit‑learn), R, and data visualization tools such as Tableau or Power BI is essential. Experience with cloud platforms (AWS, Azure) and big‑data technologies (Spark, Snowflake) is a strong advantage. Familiarity with machine‑learning model deployment and version control systems (Git) is also desirable.

Benefits

Compensation and Perks

We offer a competitive salary ranging from $55,000 to $75,000 USD per year, commensurate with experience and qualifications. In addition, employees enjoy a flexible remote‑first work environment, comprehensive health, dental, and vision insurance, 401(k) matching, generous paid time off, continuous professional development stipends, and a wellness program that supports mental and physical health.

Growth and Culture

At VitalAnalytics, you will work on projects that directly affect patient care and population health outcomes. Our culture emphasizes innovation, collaboration, and a commitment to ethical data use. Employees enjoy opportunities for career advancement, mentorship from industry leaders, and the chance to shape the future of health analytics.

Why Join Us?

Successful candidates are analytical thinkers with a passion for improving health outcomes through data. They possess strong communication skills, the ability to translate technical findings into clear business recommendations, and a relentless curiosity to explore new data sources and analytical methods. A collaborative mindset and a proactive approach to problem‑solving are essential.

Ideal Candidate Profile

You thrive in a remote setting, enjoy interdisciplinary teamwork, and are driven by the impact your work has on public health. If you are eager to leverage cutting‑edge analytics to drive meaningful change in healthcare, we encourage you to bring your expertise to VitalAnalytics and help us unlock the full potential of health data.