ML Postdoc Researcher - Healthcare AI Innovation

The role

You will explore and develop novel applications of AI/ML technologies using large-scale real-world clinical data. You will design, develop, and evaluate state-of-the-art models and collaborate with clinicians and product teams.

What you will do

• Identify and propose novel, high-impact applications of AI/ML using large-scale EHR data
• Design, develop, and evaluate state-of-the-art models
• Integrate structured and unstructured EHR data with genomics, imaging, and clinical notes
• Partner with clinicians, data scientists, and product teams to translate research ideas into solutions
• Contribute to top-tier conferences/journals
• 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
• Utilize expertise in machine learning and natural language processing to develop novel algorithms
• Implement, train, and fine-tune LLM and GPT-like models on large-scale datasets
• Stay up to date with the latest research advancements

Required qualifications

• Recent PhD graduate
• Physically present in the United States for the duration of the program

Nice to have

• Experience with healthcare data (EHRs, claims, clinical notes) or biomedical data (genomics, imaging)
• Familiarity with Foundation models / LLMs in healthcare
• Familiarity with Multimodal learning
• Familiarity with Causal inference
• Familiarity with 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

About the company

Truveta transforms healthcare into intelligence using a collection of de-identified patient data. The company is built with and owned by US health systems to power discoveries and AI that improves patient care.