ML Postdoc Researcher - Healthcare AI Innovation

Summary

Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. They are seeking a highly motivated Postdoctoral Researcher to explore and develop novel applications of AI/ML technologies on large-scale real-world clinical data. This role is designed for recent PhD graduates passionate about pushing the boundaries of machine learning in healthcare.

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

Skills

• 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

• 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

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