The Dedicated Support Research Analyst will work with life science customers, using EHR data for technical analyses, and helping them produce research publications.

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

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.

Responsible for scaling Life Science partner base, engaging prospects, developing proposals, collaborating across teams, and executing sales strategies in the Life Sciences sector.

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

Develop and maintain scalable search systems for health data, including implementing features, optimizing performance, and conducting security reviews.

The Real World Data Analyst will analyze Electronic Health Records data, collaborate with life sciences partners, and deliver impactful insights for healthcare improvement.

The Senior Biostatistician will design and analyze health studies, using EHR data, conduct statistical analyses using R and SQL, and provide insights from findings while mentoring junior staff.

The Senior Research Epidemiologist will lead end-to-end epidemiological research studies, focusing on real-world evidence for healthcare decision-making, requiring strong project management and communication skills.

The internship involves working on real-world health solutions using software and technology, collaborating with teams to drive innovation in patient care and medical research.

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

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.

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.

Lead and execute epidemiological and health services research studies, managing client-facing projects and ensuring scientific rigor for regulatory relevance.

Temporary summer engineering internship for undergraduate or graduate students to work on real-world health data and engineering projects. Interns collaborate with technical teams, build software, apply data and AI concepts, and present results. Minimum 10-week program with potential extension and future full-time opportunities.

Customer-facing analyst who sculpts and executes analyses on large EHR/RWD sets using SQL, R, Python and Databricks, supports life-science partners, produces reproducible studies, and provides technical customer support and enablement.