Remote Health Data Analyst– Work from Home for US-Based Candidates

Join a fast‑growing healthcare analytics team where your insights directly improve patient outcomes. This fully remote position offers flexible hours, competitive compensation, and the chance to work with cutting‑edge health data that drives real‑world impact.

About the Role

Our organization is a leading provider of evidence‑based health solutions, seeking a meticulous Health Data Analyst to turn complex clinical and claims datasets into strategic insights. You will partner with research scientists, product managers, and clinical operations teams to support drug development, population health initiatives, and regulatory reporting. The role blends independent analysis with collaborative problem‑solving, allowing you to influence decision‑making across multiple therapeutic areas while enjoying the flexibility of a 100% remote schedule.

Key Responsibilities

• Design and execute data pipelines that extract, cleanse, and transform electronic health record (EHR), claims, and genomic data using SQL, Python, and R.
• Develop interactive visualizations and dashboards in Tableau and Power BI to monitor key performance indicators such as readmission rates, treatment effectiveness, and cost trends.
• Perform statistical modeling and predictive analytics to uncover disease patterns, forecast resource utilization, and support outcome research.
• Ensure data quality and compliance with HIPAA, GDPR, and other privacy regulations through rigorous validation and audit trails.
• Communicate findings to cross‑functional stakeholders, translating technical results into clear, actionable recommendations for non‑technical audiences.
• Collaborate on the design of data collection protocols and contribute to the development of standardized metrics across the organization.

Requirements

• Bachelor’s degree in Health Informatics, Data Science, Statistics, Computer Science, or a related discipline; a Master’s degree is strongly preferred.
• 3–5 years of professional experience analyzing large‑scale healthcare datasets, preferably within a regulated environment such as pharmaceuticals, payers, or government agencies.
• Advanced proficiency in SQL, Python (pandas, NumPy, SciPy), and statistical packages; experience with R or SAS is a plus.
• Strong knowledge of healthcare data standards (e.g., HL7, FHIR, CDISC) and familiarity with FDA regulatory expectations.
• Excellent written and verbal communication skills, with a proven ability to present complex analytical concepts to diverse audiences.
• Self‑motivation and the ability to thrive in a fast‑paced, remote setting while meeting tight project deadlines.

Benefits

• 100% remote work model with a flexible schedule that supports work‑life balance.
• Competitive base salary complemented by annual performance bonuses and equity grants.
• Comprehensive medical, dental, and vision coverage, plus a wellness stipend for mental‑health resources.
• 401(k) plan with generous employer matching, tuition reimbursement, and a professional development allowance.
• Generous paid time off, holiday observance, and paid parental leave.
• A collaborative, inclusive culture that encourages continuous learning, innovation, and mentorship.

Why Join Us

We are committed to advancing health outcomes through data‑driven innovation. Employees enjoy a supportive environment where ideas are welcomed, and professional growth is encouraged through regular training sessions, conference sponsorships, and internal hackathons. By joining our team, you will contribute to projects that directly impact patient care, population health, and the future of medical research.

Salary Range

Compensation for this position is targeted between $60,000 and $85,000 USD annually, reflecting experience, education, and market conditions. In addition to base pay, eligible employees may receive performance bonuses, stock options, and a comprehensive benefits package.

How to Apply

If you are eager to leverage your analytical expertise to make a tangible difference in healthcare and thrive in a fully remote setting, we invite you to submit your updated résumé and a concise cover letter highlighting your most relevant projects to careers@healthanalytics.com. Our recruiting team reviews applications on a rolling basis and will reach out to qualified candidates for virtual interviews. Early applications are encouraged, and we aim to schedule initial conversations within two weeks of submission.