Post Doctoral Associate

MEININGER Hotels; Pittsburgh (Allegheny County); On-site; USD 60,000 - 90,000; Full time

Job summary

The University of Pittsburgh School of Medicine CPACE AI Center seeks a Postdoctoral Research Scientist to advance generative AI applications in medicine. The role emphasizes leading research projects in AI methodologies and collaborates on interdisciplinary healthcare challenges while mentoring junior researchers.

Qualifications

• Expertise in generative AI, large language models, NLP.
• Strong communication skills with a history of publications.
• Experience mentoring graduate students or junior researchers.

Responsibilities

• Lead research and development of generative AI methodologies.
• Design and implement AI tools for healthcare applications.
• Publish findings and support grant proposals.

Skills

Generative AI

Natural Language Processing

Vision-Language Modeling

Multimodality Learning

Foundation Models

Education

PhD in Computer Science, Engineering, Health Informatics, or related field

Job description

The University of Pittsburgh School of Medicine CPACE AI Center invites applications for a Postdoctoral Research Scientist specializing in generative AI. This role provides a unique opportunity to join an interdisciplinary team committed to advancing the application of generative AI in medicine, focusing on large language models, natural language processing (NLP), and vision-language modeling. Working under the guidance of Dr. Yanshan Wang, Interim Director of Generative AI at the CPACE AI Center, and Dr. Hooman Rashidi, Executive Director of CPACE AI Center and Associate Dean of AI in Medicine, the successful candidate will drive impactful research and innovation at the intersection of generative AI and healthcare.

Responsibilities:

Lead and pioneer the research and development of generative AI methodologies and solutions specifically designed to address healthcare challenges.
Execute both qualitative and quantitative studies to evaluate the effectiveness and potential of generative AI tools in clinical and translational medicine.
Work collaboratively with an interdisciplinary team, comprising experts in computer science, healthcare, and clinical research, to design, implement, and optimize generative AI functions that align with end-user and clinical needs.
Disseminate research findings through publications in top-tier, peer-reviewed journals and presentations at renowned scientific and industry conferences.
Support grant proposal preparation and actively participate in progress reporting to funding bodies.
Mentor and guide graduate students or junior researchers involved in related projects, fostering a collaborative research environment.

Qualifications:

PhD in Computer Science, Engineering, Health Informatics, or a related field.
Strong expertise in generative AI, large language models, NLP, vision-language modeling, or associated technologies, with demonstrated application in healthcare or biomedical domains.
Proven ability to work both independently and as a team player within a multidisciplinary research environment.
Exceptional written and verbal communication skills, with a history of scientific publications and conference presentations.
Experience in vision-language model, multimodality learning, and foundation models, is highly desirable.
Application Instructions:
Interested candidates should submit a detailed CV, personal statement, research statement, along with contact information for three references.