GeneDx · 2 days ago
Senior Software Engineer, Data Apps
United States
Full-time
Onsite
Senior Level
$162K/yr - $185K/yr
5+ years expGeneDx delivers personalized health insights to inform diagnosis and improve drug discovery. They are seeking a Data Apps Engineer to build data-driven applications that empower stakeholders with actionable insights from data.
AnalyticsArtificial Intelligence (AI)Health CareHealth DiagnosticsMachine LearningMedicalPredictive Analytics
Responsibilities
Build and maintain data-driven React applications using a python backend, embedded BI solutions (Sigma), and AI-enabled services as appropriate
Develop web interfaces and tools that consume and display data from the enterprise data warehouse and AI-backed APIs
Implement and integrate BI tools, embedded analytics, and AI-assisted workflows (e.g., natural language querying, summarization, recommendations)
Integrate with AI platforms, SDKs, and Model Context Protocol (MCP) servers to incorporate LLM-backed functionality into applications in a secure and reliable manner
Work with structured and semi-structured data to deliver performant, reliable data and AI-driven solutions
Build data models in a Snowflake data warehouse as needed
Partner with Data Engineering and Product teams to support workflows across commercial data applications, clinical operations, lab logistics, commercial analytics, and AI-enabled use cases
Apply best practices in code quality, testing, performance optimization, secure design, and responsible AI usage
Contribute ideas to improve usability, scalability, and maintainability of internal applications, including human-in-the-loop AI interactions
Collaborate effectively in a cross-functional, remote-first environment
Use infrastructure-as-code (Terraform) to provision and manage cloud environments, including AI-related services
Develop and deploy applications within containerized environments (Docker, Kubernetes), including services supporting AI inference and orchestration
Qualification
Required
Bachelor's degree in Computer Science, Engineering, Data Science, or related field
Minimum 5+ years of experience building data-driven applications
Experience building and maintaining React applications with a python backend and embedded BI solutions (Sigma)
Experience developing web interfaces that consume data from an enterprise data warehouse (Snowflake) and modern APIs
Experience integrating BI tools, embedded analytics, and AI/LLM-enabled application features using modern SDKs or APIs
Familiarity with integrating AI utilities such as MCP servers, AI SDKs, and model-backed services
Experience working with structured and semi-structured data to deliver performant, reliable solutions
Experience building data models in Snowflake to support analytics and downstream application use cases
Strong understanding of software engineering best practices, including testing, performance optimization, observability, and secure design
Experience with infrastructure-as-code (Terraform), containerization (Docker), and orchestration (Kubernetes)
Ability to collaborate effectively with Data Engineering, Product, and AI stakeholders in a cross-functional, remote-first environment
Preferred
Master's degree
Experience in healthcare, life sciences, or regulated environments
Cloud platform certifications (AWS, GCP, or Azure) or data/analytics certifications
Benefits
Paid Time Off (PTO)
Health, Dental, Vision and Life insurance
401k Retirement Savings Plan
Employee Discounts
Voluntary benefits
Company
GeneDx
GeneDx uses artificial intelligence and machine learning to analyze patient data to provide insights to transform the practice of medicine.
1001-5000 employees
H1B Sponsorship
GeneDx has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (1)
Funding
Current Stage
Public CompanyTotal Funding
$941MKey Investors
BlackRock Innovation Capital
2023-01-26Post Ipo Equity· $150M
2023-01-10IPO
2022-01-18Post Ipo Equity· $200M
Leadership Team
Katherine Stueland
Chief Executive Officer
Kevin Feeley
Chief Financial Officer
Recent News
Company data provided by crunchbase