GeneDx is looking to advance how it explores, validates, and scales the use of clinical, billing, and operational data across the company to improve how it serves patients and partners
Requirements
- Strong SQL skills, with experience in data exploration, root cause analysis, and workflow simulation
- Familiarity with healthcare data standards and formats such as HL7, FHIR, ICD, CPT, LOINC, etc.
- Experience with Python for scripting, workflow automation, or data validation
- Familiarity with cloud-based data platforms (e.g., BigQuery, Snowflake, GCP)
- Exposure to APIs and third-party data integrations (e.g., Redox, Particle Health)
- Experience with data transformation or exploration tools (e.g., dbt, Jupyter, Looker)
- Background in health informatics, life sciences, or technical roles in healthcare
Responsibilities
- Lead structured, hypothesis-driven investigations using real-world healthcare data to support product validation and business decision-making
- Translate ambiguous or complex problems into clear analytical questions, and execute the end-to-end analysis
- Collaborate closely with Product and Engineering teams to test assumptions, simulate workflows, and support early-stage design
- Identify patterns or edge cases that highlight opportunities for system or workflow improvement
- Prototype or write lightweight scripts/queries to simulate or evaluate proposed data flows
- Summarize findings in a way that influences product direction, system requirements, or stakeholder decisions
- Contribute to data documentation, standardization efforts, and onboarding new team members
Other
- 5+ years of experience working with healthcare-related datasets
- Ability to stand, walk, and sit for extended periods
- Work is primarily performed in a remote office setting
- Paid Time Off (PTO)
- Health, Dental, Vision and Life insurance
