Stanford, CA, United States (On-site)
Job Description
Healthcare and medicine today stand at the Center of a major paradigm shift. Stanford Medicine is firing on all engines to push the frontiers heralding this Paradigm Shift. Here at Stanford Medicine, almost all disciplines are joining forces to solve human health miseries that are keeping us fearful of being a prey to them. The Stanford Amrita–Jagadeesh Digital Health Collaboratory was created to have an even bigger Impact by working together to solve some of the formidable challenges in healthcare.
The Academic Staff-Research (AS-R) position is a key role in sustaining and expanding the Collaboratory to be a synergistic Hi-5 Ecosystem of Interdisciplinary Research, International & Industry partnerships for Research, and Translational Research. Snyder Lab’s vision and scientific leadership have helped bring together an extraordinary community of researchers and clinicians. In this AS-R role, the recruited person would work with postdocs, graduate students and other researchers to identify grant proposal opportunities, mentor the writing and submission of research proposals, garner funding support from Industry, and push for translational clinical trials for as many research projects as possible to have impact that reaches patients as their outcome. The AS-R position also has the responsibility for building bridges across institutions and disciplines, so that there is a healthy cross-pollination of ideas.
The Position of AS-R also carries with it the responsibility for developing an Integrated Strategic Plan for the Digital Health Collaboratory, with a focus on five grand challenge areas namely: (1) Global and Population Health, (2) Multidisciplinary and Translational Medicine, (3) Data Driven Precision Medicine, (4) Artificial Intelligence (AI) & Machine Learning (ML) in Medicine, and (5) Innovation in Limited Resource Settings.
- Pay Range
- $85,000-$95,000
- Pay Frequency
- Annually
- Fixed Term
- Y
- Stanford Schools and Units
- School of Medicine
- Full time or Part time
- Full Time
- Regular or Temporary
- Regular
- Job Category
- Academic
- Posting Date
- 10/06/2026, 05:19 AM
- Grade
- R99
- Job Identification
- 201299
Ideal person for this position is a Physician-Scientist who is passionate about improving health care. The Core Duties will include:
- Initiate multi-center research studies in 3P Medicine
- Design and Develop 3D & 3I Personal Health Dashboards
- Deploy and Evaluate AI-LLM based decision support systems & AI agents
- Track the following Outcomes : (a) Delivering the three A’s (Affordability, Accessibility, Availability) in global health; (b) Accelerated translation of bio-medical inventions; (c) Enhancing data-driven medicine through access to a widening spectrum of patient data; (d) Robust clinical validation of emerging AI/ML techniques; (e) Sustaining innovation and quality in healthcare delivery without compromising compassionate pricing or timeliness even in the face of rising costs and increasing patient volume
- Forge global scientific partnerships targeted towards addressing the grand challenges in Medicine
- Organize annual symposium, Roundtable meetings for each Grand Challenge area
QUALIFICATIONS / MINIMUM REQUIREMENTS:
MD or equivalent, prior postdoc experience of at least 1 year and also completion of internal medicine residency, International research experience
- MD or equivalent Medical Degree
- Postdoctoral Research Experience of at least 1 Year
- Residency in Internal Medicine or equivalent would be a big plus to be able to carry out clinical trials
- Publications in Reputed Journals with first Co-Authorship
- Proven experience in a large scale, high profile or mission critical project
- Proven experience working with AI, particularly LLMs and Decision Support Systems
- Expert programming skills in Python
- Excellent verbal and written communication skills, with International research experience
Benefits that support you, and your future
18+ PTO days per year
Health benefits start when you start
Flexible work options
World-class exercise facilities
$6000+ annual tuition and training assistance
403(b) plan
Mental health and wellness programs
Free and discounted commuter transportation
Applies to regular full-time positions.
Notice to Applicants The job duties listed are typical examples of work performed by positions in this job classifications and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of their job. 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 University provides job pay ranges representing its good faith estimate of what the university reasonably expects to pay for a particular job. The specific pay offered to a selected candidate will be determined based on a wide range of factors that are unique to each candidate, including but not limited to geographic work location, relevant knowledge, skills and abilities, relevant education, years of relevant experience, depth and breadth of relevant experience, and performance; further including but not limited to other business and organization needs such as the scope and responsibilities of the position, the minimum qualifications, departmental budget availability, and market and internal equity across the university, school/ unit, department, as well as job reporting relationships.