[Hiring] ML Postdoc Researcher @Truveta

Role Description

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.

Qualifications

• 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.

Requirements

• 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.

Preferred 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.

Benefits

• Competitive compensation
• Company-issued laptop and equipment
• Opportunities for future full-time positions
• The range for this position is $50-$60 per hour