Jobs at Truveta

Build reliable, secure, and scalable backend software, including automated ETL pipelines across multiple data sources. Design distributed systems, cloud services, data pipelines, and APIs while balancing privacy, security, and reliability. Collaborate with internal users to understand requirements, guide workstreams, mentor junior developers, and support cross-platform, multi-tenant systems on modern cloud-native platforms.

Build and operate scalable analytical platform services, including cloud services, APIs, distributed systems, notebook experiences, Python and R SDKs, dashboards, and modern web applications. Collaborate with Product, Design, and Engineering teams to create secure, reliable, high-performance tools that help healthcare researchers explore and analyze large-scale datasets.

Customer-facing analyst supporting life sciences partners with real-world evidence research using large-scale EHR data. Translates research questions into study designs, cohorts, statistical analyses, and actionable insights using SQL, R, and Python. Advises customers on bias, confounding, methodology, and result interpretation; troubleshoots analyses, supports publications, demonstrates platform capabilities, investigates data quality, and provides feedback for product development.

Leads the Platform Services engineering team in India, defining technical strategy and managing cloud infrastructure, Kubernetes platforms, backend services, identity and access management, CI/CD, observability, and developer tooling. The role combines hands-on architecture and technical leadership with people management, delivery oversight, platform reliability, cross-functional collaboration, hiring, and team development across globally distributed engineering organizations.

Supports HR operations and the employee lifecycle for Truveta’s India Development Center, including onboarding, employee records, HR queries, compliance, payroll coordination, and offboarding. Provides talent acquisition support through sourcing, interview coordination, candidate communication, ATS updates, offer coordination, and hiring reports. Also contributes to engagement, wellness, culture-building, employee communications, and broader People initiatives while improving HR processes.

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.

Lead business development and revenue growth for healthcare data, analytics, and technology solutions sold to hedge funds, private equity firms, venture capital investors, asset managers, investment banks, and other financial institutions. Own strategic accounts, prospecting, enterprise sales cycles, pipeline forecasting, executive relationships, solution selling, proposals, negotiations, and expansion opportunities. Collaborate cross-functionally with Product, Customer Success, Solutions, Engineering, Analytics, Marketing, and leadership teams while representing the company at industry events.

Provide Tier 1 and Tier 2 IT support for global employees across Windows and macOS devices, Microsoft 365, accounts, access, VPN, Wi-Fi, conference rooms, and cloud PCs. Manage onboarding and offboarding, hardware inventory, shipping, incidents, service requests, documentation, escalations, and process improvements. Support remote users while maintaining service-level response and resolution standards.

Analyze large-scale electronic health record and real-world data using SQL, R, and Python. Scope requests, produce research studies and results, write Databricks SQL regex queries, support customers, investigate data sources, collaborate on peer-reviewed publications, and create enablement materials for researchers.

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.

Own strategic healthcare and life sciences customer relationships across onboarding, adoption, research execution, renewals, and expansion. Guide customers through clinical data and real-world evidence workflows, translate research goals into requirements and deliverables, coordinate cross-functional teams, provide training and executive communications, identify adoption risks, and advise customers on maximizing Truveta’s platform value.

Build, deploy, and maintain cloud-native infrastructure and platform services on Azure. Support Kubernetes-based container workloads, implement DevOps best practices, improve observability with monitoring/logging/alerting, automate operations, ensure security practices, troubleshoot cloud issues, and collaborate with cross-functional teams to scale and operate the platform.

Design, build, and maintain infrastructure and backend platform services on Azure (AKS, networking, storage, identity). Own platform capabilities (compute, orchestration, CI/CD, IaC, secrets, observability), optimize performance for high-volume data, support AuthN/AuthZ/CIAM, participate in architecture reviews, code reviews, and on-call rotations, and collaborate with cross-functional teams.

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 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.

Partner with customers and internal teams to create clear, reusable enablement materials (notebooks, guides, decks) that help customers understand Truveta's EHR data model, export omni-modal data, and build analytics and ML workflows. Explain de-identification and privacy considerations, provide best-practice examples for cohorting and validation, reduce support friction, and improve adoption through proactive enablement strategies.

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.

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.

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

Develop, operate, and automate cloud-native infrastructure services on Azure using Kubernetes and open-source tools (Istio, Kong, Conductor). Improve observability, reliability, CI/CD, and platform tooling; participate in incident response, troubleshooting, and collaborate with product, security, and architecture teams.