Jobs at Truveta

As a Software Engineer for Backend Services, you'll design, build, and maintain production-grade backend systems, focusing on reliability, security, and integrations with AI workflows.

Support life sciences partners by scoping and executing analyses on a large EHR/RWD database using SQL, R, and Python. Provide technical customer support, build cohorts, write Databricks SQL/regex queries, create enablement materials, and feed product feedback to internal teams to improve the Truveta platform.

The role involves developing and deploying large language models for healthcare, applying advanced ML techniques, and collaborating with interdisciplinary teams.

Join Truveta as an ML PhD Intern focusing on LLMs and Generative AI, collaborating on research to innovate healthcare solutions using machine learning.

As a Software Engineer at Truveta, you'll develop scalable data services, work with cloud technologies, and solve healthcare-related computing challenges.

Lead AI/ML and analytics solutions for partner engagements: build demos, architect Truveta Studio solutions, mentor analysts, improve feasibility and analytics workflows, collaborate with Product and Engineering, and optimize internal operations to support customer-facing technical initiatives.

10-week (minimum) software engineering internship in Greater Seattle, working on health-data and predictive AI projects. Interns write code using languages like Java, Python, .NET or C#, collaborate with engineering teams, manage time effectively, and present work. Hybrid role requiring several days per week onsite.

The Research Analyst Intern will support real-world evidence generation using Truveta's platform, conduct observational studies, and contribute to scientific writing and research workflows.

Design, implement, and operate large-scale distributed data processing pipelines and ETL systems for healthcare data. Contribute across the software lifecycle, collaborate with cross-functional teams, debug production distributed-system issues, and apply cloud-native and DevOps practices to ensure reliable, performant data processing at scale.

Design, build, deploy, and operate production-grade backend services for healthcare intelligence. Own service architecture, APIs, observability, reliability, security, CI/CD, and cloud-native platform integrations to support AI-enabled workflows and scalable production systems.

Lead the development of scalable onboarding, training, and adoption programs for customers using EHR and real-world data. Provide consultative research support, build dashboards and usage reporting, advise on study design and cohort definition, and partner cross-functionally to improve customer experience and operational efficiency.

Lead revenue growth and a team selling RWD/RWE, analytics, and research solutions to pharma and biotech. Manage strategic accounts, drive complex multi-stakeholder deals, recruit and coach business development staff, partner with product and data teams, represent the company at industry events, and contribute to commercial strategy and go-to-market planning.

The Partner Research & Success Manager will enhance client relationships, support onboarding and education, manage projects, and drive operational efficiency to deliver maximum value to customers.

The Product Manager will lead the strategy and execution of Truveta's data onboarding platform, improving healthcare data connectivity and operational efficiency while collaborating with engineering teams and healthcare partners.

The role involves collaborating to develop and refine large language models and generative models, utilizing expertise in machine learning and NLP.

Lead product strategy and delivery for Research Operations within a Trusted Research Environment. Own platform capabilities (IAM, org administration, auditing, cost visibility), run end-to-end product development, partner cross-functionally, and ensure governance, transparency, and scalability for enterprise and regulated research customers.

Design, build, and operate secure, scalable cloud-native backend systems for unstructured data and AI workloads. Partner with platform, security, and ML teams to create microservices, APIs, and data pipelines, deploy large-scale ML models, and deliver self-service capabilities while prioritizing privacy, ethics, and reliability.