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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # ML Postdoc Researcher - Healthcare AI Innovation - **Company:** Truveta Inc. - **Location:** Seattle, United States (Remote available) - **Salary:** $104,000.0 - $124,800.0 - **Contract:** Permanent contract - **Skills:** Clinical Data Repository, Machine Learning, Language Modeling, Natural Language Processing, Large Language Models, GPT - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/ml-postdoc-researcher-healthcare-ai-innovation-truveta-7941280 ## About the Role 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, + 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 ## Description * 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. ## Related Videos - [Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner](https://www.wearedevelopers.com/videos/1308-data-science-ml-ai-in-the-oil-and-gas-industry-at-ndt-global-dr-katja-traumner) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Unveiling the Magic: Scaling Large Language Models to Serve Millions](https://www.wearedevelopers.com/videos/1619-unveiling-the-magic-scaling-large-language-models-to-serve-millions) - [Architecting the Future: Leveraging AI, Cloud, and Data for Business Success](https://www.wearedevelopers.com/videos/1096-architecting-the-future-leveraging-ai-cloud-and-data-for-business-success) - [Recruiting in 2025: Will AI Help or Take Over?](https://www.wearedevelopers.com/videos/1301-recruiting-in-2025-will-ai-help-or-take-over) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies) - [How to start an AI project for a good cause and boost your career](https://www.wearedevelopers.com/magazine/15-how-to-start-an-ai-project-for-a-good-cause-and-boost-your-career) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)