Basic Life Research Scientist (1 Year Fixed Term)

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.

At Stanford University School of Medicine, the work we do touches the lives of those today and tomorrow. Through education, research, and health care, the School of Medicine improves health through leadership, diversity, collaborative discoveries, and innovation in health care. Whether working in departments with faculty, or in units that support the school, our staff are a part of teams that propel us on our journey toward the future of medicine and Precision Health.

Stanford is rooted in a culture of excellence and values innovation, collaboration, and life-long learning. To foster the talents and aspirations of our staff, Stanford offers career development programs, competitive pay that reflects market trends, and benefits that increase financial stability and promote healthy, fulfilling lives. An award-winning employer, Stanford offers an exceptional setting for professionals looking to advance their careers.

The Department of Anesthesia are committed to diversity, equity, and inclusion for its faculty, staff, residents, postdocs, and fellows. We aim to recruit, support, retain, and promote diversity in our department.

For more information on our department, please see our website: https://med.stanford.edu/anesthesia.html

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*

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