AI Summary / Key Details

  • Location: Remote
  • How to apply: Click the Apply Now button on this page to submit your resume.
Recent Activity
Someone from Brooklyn applied this job 14 mins ago
Someone from Miami applied this job 2 hours ago

We are seeking a detail‑driven Health Data Analyst to translate complex clinical datasets into actionable insights that improve patient outcomes and operational efficiency. In this fully remote position, you will collaborate with physicians, product managers, and engineering teams across multiple time zones, leveraging advanced analytics to support evidence‑based decision making.

About the Role

Join a forward‑thinking organization that uses data to transform healthcare delivery. As a Remote Health Data Analyst, you will be at the core of projects that influence population health management, clinical research, and cost optimization. Your work will directly impact patient care by turning raw data into clear, actionable strategies that guide treatment pathways and resource allocation.

Key Responsibilities

  • Extract, clean, and validate large‑scale electronic health record (EHR) and claims data using advanced SQL queries and Python or R scripts.
  • Design and maintain interactive dashboards in Tableau or Power BI to track critical KPIs such as readmission rates, treatment efficacy, and population health metrics.
  • Conduct statistical analyses and predictive modeling to uncover trends, risk factors, and opportunities for cost reduction across clinical pathways.
  • Partner with clinical stakeholders to define data requirements, ensure rigorous data governance, and translate analytical findings into clear, actionable recommendations.
  • Document analytical methodologies, data pipelines, and reporting processes to ensure reproducibility and compliance with HIPAA and other regulatory standards.
  • Perform data quality audits and implement automated monitoring to maintain high‑integrity datasets.
  • Support the development of machine‑learning prototypes that forecast patient outcomes and guide preventive care initiatives.

Required Qualifications

  • Bachelor’s degree in Statistics, Data Science, Public Health, or a related quantitative discipline; a Master’s degree is strongly preferred.
  • Minimum of three years of professional experience analyzing healthcare data, preferably within a clinical, payer, or pharmaceutical setting.
  • Advanced proficiency in SQL and at least one programming language (Python or R) for data manipulation, analysis, and modeling.
  • Hands‑on experience creating visualizations and reports using Tableau, Power BI, or similar BI tools.
  • Strong grasp of statistical concepts, hypothesis testing, and predictive modeling techniques relevant to health outcomes.
  • Excellent written and verbal communication skills, capable of translating complex data into understandable insights for non‑technical audiences.
  • Familiarity with HIPAA regulations and healthcare data standards such as ICD‑10, CPT, and LOINC.
  • Proven ability to work independently in a remote environment while meeting deadlines and collaborating virtually.

Preferred Skills

  • Experience with machine‑learning libraries such as scikit‑learn, TensorFlow, or PyTorch for building predictive models.
  • Knowledge of cloud platforms (AWS, Azure, or GCP) and data warehousing solutions like Snowflake or Redshift.
  • Prior experience working in fully remote or distributed teams, with strong self‑management capabilities.
  • Professional certifications such as Certified Health Data Analyst (CHDA) or equivalent credentials.
  • Understanding of statistical process control and quality improvement methodologies in healthcare.
  • Ability to integrate diverse data sources, including wearable device data and genomic information, into unified analytical frameworks.

Salary & Compensation

Competitive salary range: $55,000 – $70,000 USD per year, commensurate with experience and qualifications. Additional compensation includes performance bonuses, annual salary reviews, and a comprehensive benefits package.

Benefits

  • 100% remote work environment with flexible scheduling to accommodate global team collaboration.
  • Full medical, dental, and vision insurance coverage for employees and dependents.
  • 401(k) plan with employer matching up to 4% of salary.
  • Generous paid time off, sick leave, and parental leave policies.
  • Professional development stipend for courses, certifications, and industry conferences.
  • Monthly virtual team‑building events and a supportive, inclusive company culture.
  • Employee assistance program and wellness resources to promote work‑life balance.

Why Join Us

At MediPulse Analytics, we are dedicated to revolutionizing healthcare through data‑driven innovation. As a Remote Health Data Analyst, you will have the autonomy to shape impactful projects while collaborating with a globally distributed team of experts. Our mission is to improve patient outcomes and operational efficiency by turning complex data into clear, actionable insights. If you are passionate about leveraging data to enhance health outcomes and thrive in a fully remote setting, we invite you to become a key contributor to our mission and help shape the future of healthcare analytics.