Postdoc in AI for Digital Health & Multimodal Data

University of California - Los Angeles (UCLA); Los Angeles (CA); On-site; USD 65,000 - 90,000; Full time

Job summary

University of California, Los Angeles (UCLA) CASIT seeks a Postdoctoral Scholar with strong AI, computer vision, and multimodal data experience to build digital health tools for biomarkers, remote monitoring, and clinical decision support.

You will lead interdisciplinary projects across care continuum, work with clinicians and engineers, publish in top venues, and help translate research into real-world healthcare impact at UCLA.

Qualifications

• PhD in Computer Science, Biomedical Engineering, Electrical and Computer Engineering, Data Science, Robotics, Computational Health, or related quantitative field; must be conferred by start date.
• Strong research and publication record in AI, ML, computer vision, digital health, or biomedical data science.
• Expertise in deep learning, computer vision, multimodal learning, time-series, or digital biomarkers.
• Strong programming and data-analysis skills, especially Python and ML frameworks like PyTorch or equivalents.

Responsibilities

• Lead design, development, and validation of AI and digital health research projects from question definition to prototyping.
• Develop ML, deep learning, multimodal, computer vision, time-series, and/or foundation-model approaches.
• Build and curate multimodal datasets and analysis pipelines compliant with IRB, HIPAA, and institutional requirements.
• Develop and validate AI-enabled digital biomarkers and decision-support tools with reliability and safety in mind.
• Publish in AI, biomedical engineering, digital health, and clinical venues.
• Contribute to multidisciplinary grant proposals to NIH, NSF, ARPA-H, and industry partners.
• Mentor graduate and undergraduate trainees; collaborate with clinicians and engineers.

Skills

PhD in related field

Python

PyTorch

Multimodal AI

Computer vision

Digital health

Strong publication record

Grant writing

Mentoring

Education

PhD in Computer Science / Biomedical Engineering / ECE / Data Science / Robotics / Computational Health

Tools

PyTorch

Job description

University of California, Los Angeles (UCLA) CASIT seeks a Postdoctoral Scholar with strong AI, computer vision, and multimodal data experience to build digital health tools for biomarkers, remote monitoring, and clinical decision support.

You will lead interdisciplinary projects across care continuum, work with clinicians and engineers, publish in top venues, and help translate research into real-world healthcare impact at UCLA.