ML Postdoc Researcher - Healthcare AI Innovation

Summary

Truveta is a health provider-led data platform that uses healthcare data to advance research, clinical decision-making, and patient outcomes. The Postdoctoral Researcher will develop and evaluate innovative AI/ML applications using large-scale clinical data, collaborate across clinical and technical teams, and identify new research directions in healthcare AI.

Responsibilities

• Identify and propose novel, high-impact applications of AI/ML using large-scale EHR data
• Design, develop, and evaluate state-of-the-art models (e.g., foundation models, multimodal learning, causal ML, generative AI)
• Integrate structured and unstructured EHR data with emerging data types such as genomics, imaging, and clinical notes
• Partner with clinicians, data scientists, and product teams to translate research ideas into real-world solutions
• Contribute to top-tier conferences/journals and represent Truveta in the research community
• 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

Skills

• Participation in the Postdoctoral Research program requires that you are physically present in the United States for the duration of the program
• This role is designed for recent PhD graduates who are passionate about pushing the boundaries of machine learning in healthcare
• 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
• 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
• 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
• 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

Qualifications

Must Haves

• Participation in the Postdoctoral Research program requires that you are physically present in the United States for the duration of the program
• This role is designed for recent PhD graduates who are passionate about pushing the boundaries of machine learning in healthcare
• 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
• 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
• 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

Nice to Haves

• 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

Benefits

• Company-issued laptop and equipment
• Opportunities for future full-time positions