Postdoctoral Scholar opening, Jeanne Shen Lab, Stanford University

KOLIS (Korean Life Scientists in the Bay Area); Palo Alto (CA); On-site; USD 70,000 - 90,000; Full time

Job summary

KOLIS (Korean Life Scientists in the Bay Area) is inviting applications for a full-time postdoctoral scholar in Stanford's Department of Pathology to lead development of multi-modal clinical AI models for diagnosis, prognosis, and treatment response across oncologic and non-oncologic diseases.

Candidates should have a PhD/MD in CS/biomedical data science or related fields, with strong computer vision and vision-language models experience, plus the ability to publish and collaborate with

Qualifications

• PhD and/or MD in a relevant field.
• Experience in computer vision and VLMs.
• Strong English communication skills.
• Track record of scholarly productivity.
• Statistics background for clinical/biomedical research desirable.
• Experience with Linux systems administration and CUDA/cuDNN setup is a plus.

Responsibilities

• Lead development of multi-modal clinical AI models for diagnosis, prognostication, and treatment-prediction.
• Collaborate with clinicians, computer scientists, and statisticians in a multidisciplinary environment.
• Engage with Stanford AIMI and other departments to apply AI to healthcare problems.

Skills

Computer vision

Vision-language models

English communication

Scholarly productivity

Statistics for biomedical research

Linux / CUDA / cuDNN troubleshooting

Education

PhD and/or MD with a background in Computer Science, Informatics/Biomedical Data Science, Engineering, Statistics, Computational Biology, or a related field

Tools

NVIDIA drivers

CUDA

cuDNN

Job description

--------------------- We are inviting applications for a full-time postdoctoral scholar with a strong computational background and interest in leading the development of multi-modal clinical AI models to enable improved diagnosis, prognostication, and prediction of treatment response for precision medicine across various oncologic and non-oncologic diseases. Creative, highly motivated individuals with strong problem-solving skills, a record of scholarly productivity, and the ability to work independently, yet collaboratively, in a multidiscliplinary environment with clinicians, computer scientists, and statisticians, are strongly encouraged to apply. Although not required, previous experience working with pathology whole-slide images, genomic, and/or electronic medical record data is strongly preferred.

The successful candidate will be based in the Department of Pathology at the Stanford University School of Medicine, with opportunities to engage with other Departments and Centers at Stanford (for example, the Center for Artificial Intelligence in Medicine & Imaging (AIMI)) and work with a diverse and dynamic group of researchers applying AI to solve clinically important problems in healthcare.

Required Qualifications

• PhD and/or MD with a background in Computer Science, Informatics/Biomedical Data Science, Engineering, Statistics, Computational Biology, or a related field
• Prior experience in computer vision, particularly state-of-the-art vision-language foundation models (VLMs)
• Excellent communication skills and fluency in both spoken and written English
• Track record of scholarly productivity
• Basic facility with statistics for clinical/biomedical research is strongly desirable
• Prior hands-on experience with command line-based Linux systems administration and facility working with bare-metal hardware stacks (including installing and troubleshooting NVIDIA proprietary drivers, CUDA, and cuDNN) is an added plus