The Department of Biomedical Data Science (DBDS) at the Stanford University School of Medicine (SoM) invites applications for an open-rank faculty position at the Assistant, Associate, or Full Professor level in the University Tenure Line (UTL). We are particularly interested in candidates who develop and apply novel artificial intelligence (AI) and biomedical data science methodologies to advance biomedical discovery and improve clinical care.
Stanford Medicine is a recognized leader in biomedical AI, with major institutional investments to integrate AI efforts across its clinical care, research, and education missions. Building on this momentum, DBDS seeks to recruit faculty who not only apply AI to important biomedical problems but also innovate on the underlying methods that drive the field forward. Areas of interest include large-scale biomedical data science and biostatistical analysis of multimodal patient research data, including clinical records, imaging, genomics, pathology, and physiologic signals; trustworthy, reproducible, explainable, and sustainable AI; health data cybersecurity and privacy; prospective trials and real-world evaluation of AI systems; human–AI interaction and human–computer teaming; AI-enabled biosensors for continuous health monitoring; world models, simulations, and digital twins; lab-in-the-loop approaches that connect computational models with iterative experimentation; AI for drug design, therapeutic development, and scientific discovery; and generative AI and synthetic data for simulation, privacy preservation, model development, and evaluation.
DBDS offers a highly collaborative and interdisciplinary environment, with strong connections across Stanford University and its affiliated research institutes and health systems. Faculty recruited through this search will join a vibrant intellectual community and are expected to contribute to research, education, and, where applicable, clinical activities.
The predominant criterion for appointment in the University Tenure Line is a major commitment to research and teaching. Faculty line and rank will be determined by qualifications and experience. The successful candidate must have a PhD with substantial expertise related to biomedical data science and AI. They will be expected to establish or lead an independent research program that advances AI methodology and its application to biomedical and clinical sciences.
The successful candidate will be expected to teach and mentor students, postdoctoral fellows, and trainees, and to participate in the broader educational mission of the department. Candidates should demonstrate the potential to achieve, or have a demonstrated record of, excellence in rigorous and impactful research.
Review of applications will begin on November 1, 2026, and will continue until the position is filled. The anticipated start date for this position is January 1, 2028.
Interested candidates should submit the following materials to: http://facultypositions.stanford.edu/cw/en-us/job/495026
- A detailed letter describing research and teaching interests and, if applicable, clinical specialty,
- A curriculum vitae,
- Three names of referees for letters of recommendation.
The university’s central functions of research and education depend on freedom of thought, and expression. The Department of Biomedical Data Science, School of Medicine, and Stanford University value faculty who will help foster an open and respectful academic environment for colleagues, students, and staff with a wide range of backgrounds, identities, and perspectives. Candidates may choose to include as part of their research and teaching statements a brief discussion about how their work and experience will further these values.
This role is open to candidates from multiple disciplines and specialties. The pay offered to the selected candidate will be based on their field or discipline. The expected base pay range for likely disciplines are listed below. Interested candidates whose discipline is not listed may contact the hiring department for the salary range specific to their discipline/specialty
PhD, Data Science or related field
- Assistant: $228k – $257k
- Associate: $274k – $301k
- Professor: $325k – $351k
This pay range reflects base pay, which is based on faculty rank and years in rank. It does not include all components of the School of Medicine’s faculty compensation program or pay from participation in departmental incentive compensation programs. For more information about compensation and our wide-range of benefits, including housing assistance, please contact the hiring department.
Stanford University has provided a pay range representing its good faith estimate of what the university reasonably expects to pay for the position upon hire. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the experience and qualifications of the selected candidate including equivalent years in rank, training, and field or discipline; internal equity; and external market pay for comparable jobs.
Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford welcomes applications from all who would bring additional dimensions to the University’s research, teaching and clinical missions.
Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact disability.access@stanford.edu.
For questions or issues with filling out the application, please contact bscacademicaffairs@stanford.edu. Please note, this inbox cannot answer questions regarding application status.
Dr. Barbara Engelhardt, Professor, Dept Biomedical Data Science, Search Committee Chair
Dr. Teri Klein, Professor, Dept Biomedical Data Science, Search Committee Member
Dr. Roxana Daneshjou, Assistant Professor, Dept Biomedical Data Science, Search Committee Member
Dr. Lu Tian, Professor, Dept of Biomedical Data Science, Search Committee Member
