AI Summary / Key Details
- Role: Remote Health Data Analyst
- Compensation: $25 - $45 / hr
- Location: Remote
- How to apply: Click the Apply Now button on this page to submit your resume.
Recent Activity
Join our pioneering healthcare technology company at the forefront of data-driven medical innovation. We’re seeking a passionate Health Data Analyst to transform complex patient and operational data into actionable insights that directly improve healthcare outcomes and streamline clinical processes. This is your chance to leverage cutting-edge analytics tools to shape the future of personalized medicine and population health management from anywhere in the country.
About the Role
As our Health Data Analyst, you will be the vital link between raw healthcare data and strategic decision-making. You’ll design, develop, and maintain robust data models and analytical frameworks to extract meaningful patterns from vast datasets encompassing electronic health records, clinical trials, claims data, and operational metrics. Your expertise will be crucial in identifying trends, forecasting resource needs, and evaluating the impact of clinical interventions, enabling our teams to make evidence-based decisions that enhance patient care and operational efficiency.
Key Responsibilities
- Design, implement, and optimize SQL databases and data warehouses to store and manage large-scale healthcare datasets.
- Perform advanced statistical analysis and data mining to uncover trends, correlations, and anomalies within complex health data.
- Develop and automate reporting dashboards and visualizations (using tools like Tableau, Power BI, or Looker) to communicate findings clearly to clinical and administrative stakeholders.
- Collaborate closely with clinical research teams, data scientists, and healthcare providers to define data requirements and validate analytical outputs.
- Ensure strict adherence to HIPAA regulations and data privacy standards in all data handling and analysis activities.
Requirements
Essential Qualifications
- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Epidemiology, or a related quantitative field.
- Proven experience (2+ years) in health data analysis, clinical data management, or a similar quantitative role within the healthcare or pharmaceutical sector.
- Advanced proficiency in SQL and experience with data warehousing concepts (e.g., ETL processes, dimensional modeling).
- Strong analytical skills with the ability to translate complex data into clear, actionable insights for diverse audiences.
- Experience with healthcare data standards (e.g., HL7, FHIR) and familiarity with EHR systems is highly desirable.
- Deep understanding of healthcare data privacy regulations, particularly HIPAA.
Preferred Qualifications
- Master’s degree in a relevant field.
- Experience with programming languages (Python, R) for data manipulation and analysis.
- Experience with big data technologies (Hadoop, Spark).
- Experience with cloud platforms (AWS, Azure, GCP) for data storage and analysis.
- Certification in data analytics (e.g., Google Data Analytics Professional Certificate, IBM Data Analyst Professional Certificate).
Benefits
We are committed to supporting your professional growth and well-being. Our comprehensive benefits package includes:
- Competitive base salary range: $65,000 – $95,000 USD/year (based on experience and location).
- Comprehensive health, dental, and vision insurance plans.
- Flexible spending accounts (FSA) and health savings account (HSA) options.
- Generous paid time off (PTO) and paid company holidays.
- Professional development stipend for conferences, certifications, and courses.
- Remote work flexibility with a focus on results and outcomes.
- Collaborative and inclusive team culture.
How to Apply
We encourage you to submit your resume and a brief cover letter detailing your relevant experience and passion for health data analysis via our careers portal. Please include “Health Data Analyst Application” in the subject line of your email submission. We review applications continuously and look forward to hearing from you!