Key skills
PythonAIMLNLPGenerative AIRAGAgenticLeadership
About this role
Role Overview
- Longitudinal Patient Health Views
- Design and build comprehensive, longitudinal representations of patient health by aggregating and normalizing data from electronic health records, lab results, genomic reports, and other clinical sources.
- Agentic Workflows
- Architect and implement personalized agentic AI workflows for interacting with patient health data and automating patient outreach (e.g., follow-up scheduling, result delivery, care gap identification).
- Data Warehouse Integration
- Integrate AI systems with the GeneDX data warehouse, ensuring reliable data pipelines, appropriate data governance, and performance access patterns.
- Interface Design and Development
- Collaborate with product and design teams to build intuitive, delightful user interfaces for clinicians and patients to explore and interact with health data.
- Generative AI and NLP
- Apply generative AI techniques for clinical information extraction, summarization, and conversational interfaces over health records.
- Technical Leadership
- Develop new methods and approaches for complex problems; mentor junior engineers; contribute to architectural decisions within the team.
Requirements
- 8+ years of professional software engineering experience, with significant depth in AI/ML.
- Python expertise
- Advanced proficiency; this is your primary language.
- Agentic AI systems
- Hands-on experience building agentic workflows, autonomous agents, and/or conversational AI / chatbot systems.
- Agentic coding
- Expertise leveraging AI-assisted coding tools and workflows for rapid, high-quality development.
- Electronic Health Data
- Familiarity with EHR systems, medical records, HL7/FHIR standards, and healthcare data formats.
- Clinical ontologies
- Experience working with SNOMED-CT, ICD-10, LOINC, RxNorm, HPO, or similar clinical terminologies.
- Generative AI
- Proven experience applying LLMs and generative models for information extraction, summarization, and/or retrieval-augmented generation (RAG).
- Data integration
- Experience integrating with data warehouses and building reliable data pipelines.
- Develop new methods and approaches for solving complex problems.
- Be accountable for significant portions of projects with proven, consistent contributions.
- Work on complex issues requiring in-depth evaluation and independent judgment.
- Collaborate cross-functionally with product, design, clinical, and data teams.
Tech Stack
- Python
Benefits
- Paid Time Off (PTO)
- Health, Dental, Vision and Life insurance
- 401k Retirement Savings Plan
- Employee Discounts
- Voluntary benefits