Summer 2024

Research Intern

Posted on 7/19/2023

Truveta

Truveta

201-500 employees

Healthcare data platform for researchers

No salary listed

Seattle, WA, USA

The internship program requires physical presence in the United States, with headquarters in the greater Seattle area but embracing a remote culture.

The internship program requires physical presence in the United States, with headquarters in the greater Seattle area but embracing a remote culture.

The internship program requires physical presence in the United States, with headquarters in the greater Seattle area but embracing a remote culture.

Bachelor's, Master's, MBA, PharmD, PhD, Associate's, JD, MD, Bootcamp, Certification

Category
Lab & Research (2)
,
Required Skills
Data Analysis

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Requirements
  • Expertise in applying ML/AI SOTA methods in at least one of the following focus areas: Natural language processing, Image processing, Genomic data processing, Multimodal modeling
Responsibilities
  • Innovate in applying State-of-the-art (SOTA) Artificial Intelligence techniques
  • Collaborate with and contribute to the success of other teams and team members
  • Collaborate with internal groups of experts with diverse backgrounds
  • Deliver next generation of innovation in trustworthy healthcare

Truveta provides a data platform, Truveta Studio, that lets researchers access patient-level health data from a network of hospitals and clinics. The platform aggregates daily-updated, compliant data and offers analytics tools, with researchers paying only for the data and analytics they use. It differentiates itself with a large, diverse dataset across all 50 states, transparent usage-based pricing, and built-in analytics for science and AI training in healthcare. The goal is to improve patient care and safety by enabling faster, data‑driven research and the development of medical AI.

Company Size

201-500

Company Stage

Late Stage VC

Total Funding

$515M

Headquarters

Seattle, Washington

Founded

2020

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Simplify Jobs

Simplify's Take

What believers are saying

  • The January 2025 $320 million round valued Truveta above $1 billion and funded expansion.
  • May 2026 Knit Health partnership extends Truveta into clinical AI workflows and referral optimization.
  • January 2026 real-time clinical trials launch and February 2026 evidence-services hire increase enterprise and regulatory demand.

What critics are saying

  • Epic, Oracle, and claims-data aggregators can bundle cheaper evidence products, compressing Truveta margins by 2027.
  • De-identified patient data still triggers privacy scrutiny; one breach would cripple health-system trust and sales.
  • If health systems restrict access or exit after pricing disputes, Truveta loses its data moat.

What makes Truveta unique

  • Truveta Data refreshes daily across 130M-plus patients, with health-system governance and audit-ready lineage.
  • Truveta Intelligence, launched January 2026, turns natural-language questions into transparent real-world evidence in minutes.
  • Johnathan Lancaster and John Seeger joined in 2026, strengthening oncology and regulatory-science credibility.

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Benefits

Competitive Compensation

Comprehensive Benefits

401(k)

Professional Development

Work/Life Autonomy

Flexible Time Off

Generous Parental Leave

Team Activities

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

-1%
Truveta
Aug 6th, 2026
From fragmented records to living evidence: Health system-governed, AI-driven, continuously updated real-world clinical data from Truveta.

From fragmented records to living evidence: Health system-governed, AI-driven, continuously updated real-world clinical data from Truveta. by Truveta staff | Aug 6, 2026 Authors: Hannah A Burkhardt, PhD ⊕, Sarah J Blach, MHS ⊕, Srinivasa R Burugapalli, MS ⊕, Brianna M Cartwright, MS ⊕, Ryley Martin, BS ⊕, Michael Simonov, MD ⊕, Sarah Stewart, MD ⊕, Grace Turner, MS ⊕, Angela L Winegar, PhD ⊕, Nicholas Stucky, MD ⊕ * Truveta Data links structured and unstructured EHR data with closed claims, mortality, and social drivers of health. * Data are ingested daily, normalized to standard clinical ontologies, de-identified, and monitored through a continuous quality-control framework. * AI and natural language processing transform clinical concepts from physician notes, imaging reports, and pathology narratives into standardized variables for observational research. * The health system-governed model creates an ongoing feedback loop to improve data quality, provenance, and research utility. Real-world data (RWD) have historically suffered from fragmentation, delayed availability, variable data quality, and limited analytic utility. Truveta developed an AI-enabled data platform to address these longstanding challenges in using RWD for clinical research. This peer-reviewed paper, published in JAMIA Open, describes Truveta's partnership model, platform design, data scale, and research applications. Materials and methods. Truveta de-identifies, aggregates, and harmonizes electronic health record (EHR) data for 140 million patients - 1 in 3 Americans - from US health systems. The platform links structured and unstructured EHR content with closed claims, mortality, and social determinants of health. Data undergo daily ingestion, normalization to standard ontologies, and de-identification. Advanced artificial intelligence (AI), including natural language processing (NLP), extracts key clinical concepts from free-text notes, such as physician notes, imaging reports, and pathology narratives, transforming them into standardized variables suitable for large-scale observational research. Results. Truveta Data comprise over 130 million de-identified patient records that are updated daily and represent diverse geographic regions, care settings, and patient populations in the US. The data have supported over 100 scientific publications to date; additionally, they support health system participants' own research interests and patient care insights. Published studies have addressed treatment effectiveness, post-market device surveillance, COVID-19 vaccine safety, and health equity. Discussion. Truveta addresses critical barriers that have hindered the realization of a learning health system. Unlike prior RWD initiatives limited by scope, latency, and vendor dependence, Truveta enables near-real-time, population-scale research grounded in rich clinical data. Its governance model ensures alignment with ethical, privacy, and regulatory standards. By rethinking the role of health systems from passive suppliers into active, incentivized partners, Truveta creates an unprecedented virtuous cycle of data quality and continuous improvement. Conclusion. Truveta represents a paradigm shift in real-world evidence generation. By aligning incentives and AI driven harmonization, it provides a scalable, sustainable infrastructure for continuously updated clinical data. Providing large-scale, high-fidelity EHR data and daily updates, the platform accelerates clinical discovery, policy and public health decision-making, and improved patient outcomes.

Yahoo Finance
Jul 29th, 2026
Truveta AI model extracts cancer staging data from 2M+ clinical notes with high precision

Truveta has published research in JCO Clinical Cancer Informatics showing how large language models can extract cancer staging information from unstructured clinical notes with high precision and at scale. The study focused on Truveta Language Model for Oncology (TLM-Oncology), an AI model designed to unlock critical oncology data from clinical documentation. The model analysed over 2 million clinical notes and extracted more than 2.7 million staging records representing over 217,000 patients across bladder, breast, cervical, colorectal, and prostate cancers. Cancer staging information is often captured in free-text physician notes and pathology reports rather than structured electronic health record fields, making it difficult to access for research purposes. The research demonstrates how AI can transform complex clinical documentation into research-ready data by combining clinical expertise with advanced language models and scalable engineering infrastructure.

Yahoo Finance
May 13th, 2026
Truveta and Knit Health partner to build clinical AI using data from 130M+ patients

Truveta and Knit Health have announced a collaboration to develop next-generation healthcare AI by combining Truveta's real-world clinical dataset with Knit's advanced behavioural AI models. The partnership will integrate Truveta Data, which includes de-identified electronic health records for over 130 million patients, with Knit's Large Clinical Behavior Model. Knit's platform learns from real clinical decision-making to create dynamic care pathways that predict optimal patient journeys and actions based on real-world constraints. The collaboration will focus on specialist referral optimisation, predictive patient flow management and care pathway enhancement. Truveta Data includes daily-refreshed records linked with claims, mortality and social health determinants, providing longitudinal research capabilities across complete patient journeys. Both companies aim to transform care delivery by learning from millions of real-world patient experiences.

Truveta
May 12th, 2026
Truveta and Knit Health announce collaboration to power a new generation of clinical AI.

Truveta and Knit Health announce collaboration to power a new generation of clinical AI. by Ellie Lampton | May 12, 2026 Combining one of the nation's most comprehensive real-world clinical datasets with next-generation behavioral AI models to transform care delivery and patient outcomes BELLEVUE, Wash. and SAN FRANCISCO, Calif. - May 12, 2026 - Truveta and Knit Health today announced a collaboration to accelerate a new generation of healthcare AI. Their work combines Truveta's large-scale, regulatory-grade real-world data with Knit's advanced clinical behavior models to transform how care is delivered, optimized, and experienced. Together, the organizations aim to unlock a fundamentally new approach to healthcare AI, one that learns from how care is actually delivered across millions of real-world patient journeys. "Patients should benefit from the data collected in their care," said Terry Myerson, CEO and co-founder of Truveta. "This collaboration helps turn real-world experiences into better decisions so patients can get the right care at the right time, with fewer delays and better outcomes." Knit Health is building a world model that learns from real clinical decision-making. These models of care act as dynamic pathways rather than static guidelines, predicting where a patient should go next, which actions are most likely to succeed given real-world constraints, and how alternative paths through the system shape outcomes. At the core of Knit's platform is its Large Clinical Behavior Model (LCBM), trained on Truveta Data. Truveta Data includes de-identified, daily refreshed EHR data for more than 130 million patients - including clinical notes and imaging - linked with closed claims, mortality, and social drivers of health to enable longitudinal research across the full patient journey. With documented provenance, rigorous quality controls, and audit-ready lineage, Truveta Data provides a trusted foundation for generating timely, reliable real-world evidence. "Our goal is to support better decisions, actions, and navigation in complex, real-world clinical environments," said Jonathan Kolstad, co-founder and CEO of Knit Health. "We're working to build a world model of care and by integrating with Truveta Data, our model gets smarter every time a physician makes a decision." The collaboration will focus on high-impact areas where better coordination and decision-making can directly improve patient care, including: * Specialist routing and referral optimization to help patients reach the right provider sooner * Predictive patient flow and capacity management to reduce delays and improve access to care * Care pathway optimization to support faster, more consistent clinical decisions Knit's models operate as an infrastructure layer, sitting beneath every routing decision, every discharge prediction, every care team allocation, every referral, and eventually every clinical workflow that touches a patient. It works directly within clinical and operational workflows in real time while aligning with how clinicians already practice medicine. By grounding these capabilities in Truveta's continuously updated data, the collaboration creates a continuous learning cycle: real-world data informs models, and those models help improve care delivery, leading to better outcomes and new insights over time. The result is care that is more responsive, coordinated, and timely for patients. This collaboration represents a step toward a healthcare system that continuously learns and improves, where better care is scaled across health systems so every patient can benefit. About Truveta Truveta is a real-world intelligence company transforming medical science with unprecedented data and AI. Truveta powers breakthrough discoveries, accelerates regulatory-grade evidence, and unlocks real-time insights from a dataset uniquely built with and owned by U.S. health systems - united by a mission of Saving Lives with Data. About Knit Health Founded in 2025, Knit Health is building AI that captures collective clinical intelligence to become the infrastructure for better healthcare. Knit Health's founders are a team of University of California, Berkeley researchers and academics and together, they bring deep expertise across behavioral economics, causal inference, generative Al, and healthcare. Knit Health was born from their shared vision to harness the capabilities of generative AI in a way that reflects the human behavior and collective intelligence that defines medicine.

Associated Press
Apr 28th, 2026
Truveta Intelligence delivers real-time insights from 130M patient records in minutes

Truveta has launched Truveta Intelligence, an AI-powered solution delivering real-time insights from continuously refreshed real-world data covering over 130 million patients. The platform enables life sciences, public health and healthcare organisations to analyse patient outcomes and treatment patterns in minutes rather than months. The system allows users to pose questions in natural language and receive insights from electronic health records across Truveta's member health systems. Users can verify underlying data, code sets and methodology with full transparency. Applications include assessing therapy performance across patient populations, examining treatment outcomes and identifying care variation across healthcare sites. Truveta Intelligence is available now for Truveta Data subscribers. The platform is built on data from US health systems including Providence, Advocate Health, Trinity Health and Northwell Health.

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