ML Postdoc Researcher (Healthcare AI)

TL;DR

ML Postdoc Researcher (Healthcare AI): Developing novel applications of cutting-edge AI/ML technologies on large-scale clinical EHR data with an accent on foundation models and multimodal learning. Focus on prototyping new ways to use patient data to solve meaningful healthcare problems and publishing in top-tier research venues.

Location: Must be physically present in the United States for the duration of the program (remote culture embraced).

Salary: $50–$60 per hour

Company

hirify.global is a health provider-led data platform that leverages one of the most comprehensive collections of de-identified patient data in the US to accelerate clinical research and improve patient outcomes.

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, including foundation models, multimodal learning, causal ML, and generative AI.
• 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 real-world solutions.
• Contribute to top-tier conferences and journals to represent the company in the research community.

Requirements

• Recent PhD graduate with a passion for machine learning in healthcare.
• Expertise in machine learning, NLP, and generative modeling.
• Experience implementing, training, and fine-tuning LLM and GPT-like models on large-scale datasets.
• Must be physically present in the United States.

Nice to have

• Experience with healthcare data (EHRs, claims, clinical notes) or biomedical data (genomics, imaging).
• Familiarity with causal inference, representation learning on longitudinal data, or multimodal learning.
• Proven track record of publications in top-tier ML or healthcare venues (e.g., NeurIPS, ICML, ICLR).

Culture & Benefits

• Competitive compensation package.
• Company-issued laptop and necessary equipment.
• Opportunities for transition into future full-time positions.
• Inclusive and empowering workplace culture that prioritizes diversity and personal passion.