Jobs at Helix

Own the product vision and roadmap for clinical genomics tools supporting case management, data workflows, clinical review, sign-out, and data delivery. Translate complex clinical and scientific needs into scalable requirements, coordinate lab and engineering stakeholders, and make risk-based tradeoffs while protecting clinical quality, privacy, security, and governance. Use AI to accelerate research, prototyping, and specification development.

Own operating expense planning, budgeting, forecasting, reporting, and variance analysis. Design and support NetSuite, Ramp, and HubSpot systems while maintaining data integrity and scalable finance processes. Create dashboards and board-level reporting, use AI for recurring analysis, and translate complex financial data into actionable insights for leadership and budget owners. Collaborate cross-functionally in a fast-paced startup environment while ensuring compliance with accounting policies, GAAP, and legal requirements.

Designs, implements, and owns reliable software systems across patient, laboratory, data, and genomics platforms. Leads projects from scoping through launch, uses AI agents and coding harnesses, improves engineering standards, mentors engineers, addresses technical debt, and collaborates cross-functionally. The role requires cloud-based distributed systems expertise, strong programming skills, infrastructure-as-code familiarity, database knowledge, testing, CI/CD, observability, and independent product-focused execution.

Design, build, deploy, and operate scalable full-stack, cloud-native software and infrastructure for clinicogenomic data products. Responsibilities include distributed systems, Kubernetes, serverless services, event-driven architecture, CI/CD, infrastructure as code, technical direction, engineering standards, AI-assisted development, cross-functional collaboration, and mentoring.

Leads technical direction for Helix’s Experience platform, designing and implementing genomic software systems focused on patient and provider experiences. Drives AI adoption across engineering, including automated workflows, safeguards, and evaluations. Owns complex projects from scoping through production, establishes engineering standards, mentors technical leaders, improves reliability, and collaborates with product, design, research, science, and business teams.

Sets technical direction for Helix’s Experience platform and broader engineering organization. Designs and implements distributed, full-stack genomic software systems focused on patient and provider experiences. Leads complex projects from scoping through production, advances AI-assisted engineering practices, establishes quality and delivery standards, mentors technical leaders, and drives cross-functional collaboration with product, design, research, scientific, and business teams.

Develop and maintain reliable software across laboratory systems and enterprise AI tooling. Responsibilities include building features, fixing bugs, writing tested code, reviewing AI-generated code, integrating APIs and databases, collaborating with product and stakeholders, and learning Helix’s cloud infrastructure and genomics-related domain. Engineers progressively take ownership of projects while working with AI coding agents as part of the standard development workflow.

Support health system and life sciences research partners using Helix’s clinico-genomic datasets, tools, and platforms. Serve as the primary data-support contact, lead onboarding and office hours, create user materials, coordinate internal technical support, gather feedback, and help refine solutions. Build clinical and genomic data-processing pipelines while collaborating with Engineering, Research, Bioinformatics, Product, Life Sciences, and Commercial teams.