Job description

ML Postdoc Researcher - Healthcare AI Innovation Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta’ s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values . Our headquarters are in the greater Seattle area, but we celebrate and embrace a remote culture. Participation in the Postdoctoral Research program requires that you are physically present in the United States for the duration of the program. #LI-remote About Truveta Truveta is transforming healthcare by enabling researchers, clinicians, and life sciences organizations to learn from one of the most comprehensive collections of de-identified patient data in the United States. With access to longitudinal electronic health record (EHR) data from over 1 20 million patients (which represents over a third of the US population) , we are uniquely positioned to drive breakthroughs in clinical research and improve patient outcomes. This Opportunity We are seeking a highly motivated Postdoctoral Researcher to explore and develop novel applications of cutting-edge AI/ML technologies on large-scale real-world clinical data. This role is designed for recent PhD graduates who are passionate about pushing the boundaries of machine learning in healthcare. You will work at the intersection of machine learning, clinical data, and biomedical science , identifying new opportunities where modern AI can unlock insights that were previously out of reach. A key expectation is not just execution—but imagination : the ability to envision and prototype entirely new ways to use rich patient data to solve meaningful healthcare problems. Who You Are Curious and imaginative: You naturally think beyond existing solutions and ask “what hasn’t been done yet?” Impact-driven: You care about applying research to real-world healthcare problems Comfortable with ambiguity: You thrive in open-ended environments where defining the problem is part of the job Collaborative: You enjoy working across domains and learning from experts in different fields What You'll Do Innovate: Identify and propose novel, high-impact applications of AI/ML using large-scale EHR data Research & Prototype: Design, develop, and evaluate state-of-the-art models (e.g., foundation models, multimodal learning, causal ML, generative AI) Work Across Modalities: Integrate structured and unstructured EHR data with emerging data types such as genomics, imaging, and clinical notes Collaborate Cross-Functionally: Partner with clinicians, data scientists, and product teams to translate research ideas into real-world solutions Publish & Share: Contribute to top-tier conferences/journals and represent Truveta in the research community Explore the Unknown: Proactively identify problems that have not yet been addressed and define new research directions What We're Looking For Basic Qualifications Collaborate with researchers and engineers to design, develop, and refine large language models and generative models for various applications. Utilize your expertise in machine learning and natural language processing to develop novel algorithms and methodologies for generative modeling tasks. Implement, train, and fine-tune LLM and GPT-like models on large-scale datasets to ensure optimal performance and accuracy. Stay up to date with the latest research advancements and techniques in the field of language modeling, generative modeling, and machine learning. Deliver the next generation of innovation in trustworthy healthcare. Preferred Qualifications Experience with healthcare data (EHRs, claims, clinical notes) or biomedical data (genomics, imaging) Familiarity with cutting-edge areas such as: Foundation models / LLMs in healthcare Multimodal learning Causal inference Representation learning on longitudinal data Track record of publications in top-tier ML or healthcare venues (e.g., NeurIPS, ICML, ICLR, MLHC, AMIA) Ability to work across disciplines and communicate with both technical and clinical stakeholders Why Truveta? Be a part of building something special. Now is the perfect time to join Truveta. We have strong, established leadership with decades of success. We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional and everything in between. Join us as we build an amazing company together. We offer: Competitive compensation Company-issued laptop and equipment Opportunities for future full-time positions The range for this position is $50-$60 per hour Truveta is committed to creating a diverse, inclusive, and empowering workplace. We believe that having employees, interns, and contractors with diverse backgrounds enables Truveta to better meet our mission and serve patients and health communities around the world. We recognize that opportunities in technology historically excluded and continue to disproportionately exclude Black and Indigenous people, people of color, people from working class backgrounds, people with disabilities, and LGBTQIA+ people. We strongly encourage individuals with these identities to apply even if you don’t meet all of the requirements.

Requirements

Must-haves

ML Postdoc Researcher - Healthcare AI Innovation
Curious and imaginative: You naturally think beyond existing solutions and ask “what hasn’t been done yet?”
Impact-driven: You care about applying research to real-world healthcare problems
Comfortable with ambiguity: You thrive in open-ended environments where defining the problem is part of the job
Collaborative: You enjoy working across domains and learning from experts in different fields
Innovate: Identify and propose novel, high-impact applications of AI/ML using large-scale EHR data
Research & Prototype: Design, develop, and evaluate state-of-the-art models (e.g., foundation models, multimodal learning, causal ML, generative AI)
Work Across Modalities: Integrate structured and unstructured EHR data with emerging data types such as genomics, imaging, and clinical notes
Collaborate Cross-Functionally: Partner with clinicians, data scientists, and product teams to translate research ideas into real-world solutions
Publish & Share: Contribute to top-tier conferences/journals and represent Truveta in the research community
Explore the Unknown: Proactively identify problems that have not yet been addressed and define new research directions
Collaborate with researchers and engineers to design, develop, and refine large language models and generative models for various applications.
Utilize your expertise in machine learning and natural language processing to develop novel algorithms and methodologies for generative modeling tasks.
Implement, train, and fine-tune LLM and GPT-like models on large-scale datasets to ensure optimal performance and accuracy.
Stay up to date with the latest research advancements and techniques in the field of language modeling, generative modeling, and machine learning.
Deliver the next generation of innovation in trustworthy healthcare.
Foundation models / LLMs in healthcare
Multimodal learning
Causal inference
Representation learning on longitudinal data
Track record of publications in top-tier ML or healthcare venues (e.g., NeurIPS, ICML, ICLR, MLHC, AMIA)
Ability to work across disciplines and communicate with both technical and clinical stakeholders
Why Truveta?

Nice-to-haves

Experience with healthcare data (EHRs, claims, clinical notes) or biomedical data (genomics, imaging)

Application prep

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Keywords to mirror

mlaimachine learningllm

Platform: greenhouse
Effort: quick

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