Jobs at Truveta

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.

Design and implement large-scale distributed data processing systems and pipelines, contributing throughout the software development lifecycle while collaborating with cross-functional teams.

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 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.

Provide IT support to employees, troubleshoot technical issues, manage user accounts, assist with onboarding/offboarding, and maintain IT documentation.

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

The Payroll Accountant will assist with payroll processing, accounting activities, employee support, and compliance in a multi-state payroll environment.

The Senior IT Engineer will manage and support the network infrastructure, firewalls, and secure connectivity solutions while troubleshooting issues and ensuring high availability of services.

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.

The FP&A Manager will support corporate finance activities, drive financial planning and analysis, and collaborate on strategic business initiatives and reporting.

Customer-facing analytics role partnering with life sciences teams to design and execute real-world evidence studies using EHR data. Translate research questions into analytical approaches, run analyses in SQL/R/Python, advise on study design and bias mitigation, deliver rapid and deep investigations, support publications, and provide technical troubleshooting and enablement while informing product improvements.

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.

The Software Engineer will build secure, scalable software solutions, manage distributed systems and data pipelines, and collaborate within a team to improve healthcare technology.

The Business Development Manager at Truveta identifies prospects, supports sales growth, and fosters relationships in the life sciences sector, leveraging product knowledge for effective communication.

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 Senior Full Stack Engineer, you will design and maintain features for internal platforms, collaborate with teams, and optimize performance for complex data workflows.

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.