Job Details

The Department of Anesthesiology, Perioperative, and Pain Medicine, at Stanford University’s School of Medicine, is a world-leading department that offers comprehensive training and perioperative patient care, pain management, and critical care medicine as well as cutting-edge research, encompassing a wide spectrum of programs in basic, translational, clinical, health services and medical education.

The Aghaeepour Lab in the Department of Anesthesiology, Perioperative and Pain Medicine is seeking a Basic Life Research Scientist. The Basic Life Research Scientist will join an interdisciplinary AI/ML research lab focused on developing and deploying machine learning methods in clinical medicine. The successful candidate will contribute to research projects involving machine learning and multimodal biomedical data; provide technical input and mentorship to trainees; contribute to manuscript development; and collaborate with clinical and computational teams.

The Aghaeepour Lab develops machine learning methods to integrate multimodal biomedical data—including electronic health records, physiological monitoring, and omics data—to improve outcomes in acute care settings such as the operating room, ICU, and NICU.

CORE DUTIES:

Contribute to and/or lead research projects involving machine learning and clinical data integration
Develop, implement, and evaluate AI/ML models using large-scale biomedical datasets
Provide technical mentorship and guidance to trainees
Contribute to manuscript preparation, review, and scientific dissemination
Collaborate with clinicians, data scientists, and external partners
Help maintain high standards of rigor, reproducibility, and code quality

*other duties may also be assigned*

Qualifications:

Minimum Requirements:

Ph.D. in Computer Science, Biomedical Informatics, Statistics, Engineering, or a related quantitative field
Experience in machine learning, deep learning, or AI applied to real-world datasets
Strong programming skills (e.g., Python, PyTorch, TensorFlow)

Additional Desired Qualifications:

Experience working with biomedical or clinical data (e.g., EHRs, physiological signals, omics)
Strong publication record or demonstrated research productivity
Ability to work in interdisciplinary teams spanning clinical and computational domains
Experience in areas such as time series modeling, multimodal learning, or causal inference

Posted 2026-07-16

Job Details

CORE DUTIES:

Contribute to and/or lead research projects involving machine learning and clinical data integration
Develop, implement, and evaluate AI/ML models using large-scale biomedical datasets
Provide technical mentorship and guidance to trainees
Contribute to manuscript preparation, review, and scientific dissemination
Collaborate with clinicians, data scientists, and external partners
Help maintain high standards of rigor, reproducibility, and code quality

*other duties may also be assigned*

Qualifications:

Minimum Requirements:

Ph.D. in Computer Science, Biomedical Informatics, Statistics, Engineering, or a related quantitative field
Experience in machine learning, deep learning, or AI applied to real-world datasets
Strong programming skills (e.g., Python, PyTorch, TensorFlow)

Additional Desired Qualifications:

Experience working with biomedical or clinical data (e.g., EHRs, physiological signals, omics)
Strong publication record or demonstrated research productivity
Ability to work in interdisciplinary teams spanning clinical and computational domains
Experience in areas such as time series modeling, multimodal learning, or causal inference

Posted 2026-07-16

Job Details

CORE DUTIES:

Contribute to and/or lead research projects involving machine learning and clinical data integration
Develop, implement, and evaluate AI/ML models using large-scale biomedical datasets
Provide technical mentorship and guidance to trainees
Contribute to manuscript preparation, review, and scientific dissemination
Collaborate with clinicians, data scientists, and external partners
Help maintain high standards of rigor, reproducibility, and code quality

*other duties may also be assigned*

Qualifications:

Minimum Requirements:

Ph.D. in Computer Science, Biomedical Informatics, Statistics, Engineering, or a related quantitative field
Experience in machine learning, deep learning, or AI applied to real-world datasets
Strong programming skills (e.g., Python, PyTorch, TensorFlow)

Additional Desired Qualifications:

Experience working with biomedical or clinical data (e.g., EHRs, physiological signals, omics)
Strong publication record or demonstrated research productivity
Ability to work in interdisciplinary teams spanning clinical and computational domains
Experience in areas such as time series modeling, multimodal learning, or causal inference

Posted 2026-07-16

Job Details

CORE DUTIES:

Contribute to and/or lead research projects involving machine learning and clinical data integration
Develop, implement, and evaluate AI/ML models using large-scale biomedical datasets
Provide technical mentorship and guidance to trainees
Contribute to manuscript preparation, review, and scientific dissemination
Collaborate with clinicians, data scientists, and external partners
Help maintain high standards of rigor, reproducibility, and code quality

*other duties may also be assigned*

Qualifications:

Minimum Requirements:

Ph.D. in Computer Science, Biomedical Informatics, Statistics, Engineering, or a related quantitative field
Experience in machine learning, deep learning, or AI applied to real-world datasets
Strong programming skills (e.g., Python, PyTorch, TensorFlow)

Additional Desired Qualifications:

Experience working with biomedical or clinical data (e.g., EHRs, physiological signals, omics)
Strong publication record or demonstrated research productivity
Ability to work in interdisciplinary teams spanning clinical and computational domains
Experience in areas such as time series modeling, multimodal learning, or causal inference

Posted 2026-07-16

Basic Life Research Scientist (1 Year Fixed Term)

Stanford University

Palo Alto, CA, USA