ML Postdoc Researcher - Healthcare AI Innovation

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.

Responsibilities

• 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

Requirements

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

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

Skills

• Expertise in machine learning and natural language processing
• Knowledge of large language models and generative models for various applications
• Experience in developing novel algorithms and methodologies for generative modeling tasks
• Ability to implement, train, and fine-tune LLM and GPT-like models on large-scale datasets
• Strong understanding of the latest research advancements and techniques in the field of language modeling, generative modeling, and machine learning

Benefits

Competitive compensation

Company-issued laptop and equipment

Opportunities for future full-time positions

Pay

The range for this position is $50-$60 per hour

Schedule

Full-time