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Staff Healthcare Data Scientist - Healthcare Data Infrastructure

Palo Alto, CA

Transform healthcare with us.

At Qualified Health, we’re redefining what’s possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring—working alongside leading health systems to drive real change.

This is more than just a job. It’s an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you’re ambitious, innovative, and ready to move fast, we’d love to have you on board.

Join us in shaping the future of healthcare.

 

Job Summary:
We're looking for a Staff Healthcare Data Scientist to bridge our robust data infrastructure with high-impact AI applications. You'll analyze downstream use cases, design optimal feature mappings from standardized healthcare data models, and develop sophisticated data transformations that maximize AI application performance. Working at the intersection of clinical knowledge and technical excellence, you'll ensure our platform delivers reliable, actionable insights to healthcare providers.

Key Responsibilities:

  • Conduct comprehensive analysis of downstream AI applications to identify optimal data requirements and feature specifications
  • Design and implement featurized data mappings from standardized healthcare data models (FHIR, Epic Clarity, HL7) to application-specific datasets
  • Develop optimized data transformations within Azure Databricks that enhance AI application performance and clinical accuracy
  • Build scalable PySpark workflows that efficiently process large-scale healthcare data while maintaining data integrity
  • Partner with data analysts to develop comprehensive data QC checklists tailored to specific healthcare applications
  • Design and implement automated data quality notebooks and monitoring systems to ensure completeness and clinical validity
  • Collaborate with clinical stakeholders to translate healthcare workflows into optimized data structures and validate feature engineering approaches
  • Establish reusable feature engineering frameworks and data quality metrics aligned with healthcare regulatory requirements

Required Qualifications:

  • 6+ years of experience in healthcare data science with demonstrated expertise in clinical data analysis and outcomes research
  • Deep domain knowledge of healthcare data standards (FHIR r4, HL7v2, ICD-10, CPT, SNOMED-CT) and EHR data structures, particularly Epic Clarity
  • Advanced degree in Data Science, Biostatistics, Epidemiology, or related quantitative field
  • Expert-level proficiency in Python data science stack (pandas, scikit-learn, scipy, statsmodels)
  • Extensive hands-on experience with Azure Databricks and PySpark for large-scale healthcare data processing
  • Strong background in statistical modeling, machine learning, feature engineering, and advanced analytics techniques
  • Solid understanding of modern data warehouse architectures and ETL patterns
  • Outstanding communication skills with ability to explain complex analytical findings to both technical and clinical audiences
  • Experience collaborating with cross-functional teams including clinicians, data engineers, and product managers

Desirable Skills:

  • PhD in Biostatistics, Epidemiology, Health Informatics, or related field
  • Experience with real-world evidence studies and AI/ML applications in healthcare
  • Background in healthcare regulatory frameworks (HIPAA, HITRUST, FDA guidelines)
  • Experience with clinical decision support systems and quality improvement initiatives 
  • Relevant healthcare analytics or data science platform certifications
  • Published research in healthcare informatics or clinical data science

Technical Environment:

Our data science infrastructure leverages:

  • Azure Databricks + PySpark for large-scale data processing 
  • Azure Data Factory for data integration
  • GitHub Actions + Terraform for CI/CD and infrastructure automation

Impact & Growth Opportunity:

As a Staff Healthcare Data Scientist, you'll play a pivotal role in ensuring our AI platform delivers clinically meaningful insights to healthcare providers. You'll directly influence how cutting-edge AI technologies are applied to real healthcare challenges while working with advanced healthcare datasets. This position offers significant visibility and growth potential as we scale across major health systems.

Why Join Qualified Health?

This is an opportunity to join a fast-growing company and a world-class team, that is poised to change the healthcare industry. We are a passionate, mission-driven team that is building a category-defining product. We are backed by premier investors and are looking for founding team members who are excited to do the best work of their careers.

Our employees are integral to achieving our goals so we are proud to offer competitive salaries with equity packages, robust medical/dental/vision insurance, flexible working hours, hybrid work options and an inclusive environment that fosters creativity and innovation.

Our Commitment to Diversity

Qualified Health is an equal opportunity employer. We believe that a diverse and inclusive workplace is essential to our success, and we are committed to building a team that reflects the world we live in. We encourage applications from all qualified individuals, regardless of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, disability, or veteran status.

Pay & Benefits: The pay range for this role is between $170,000 and $240,000, and will depend on your skills, qualifications, experience, and location. This role is also eligible for equity and benefits.

Join our mission to revolutionize healthcare with AI. To apply, please send your resume through the application below.

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