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Open Postdoctoral position, faculty mentor Tina Hernandez-Boussard

Important Info

Faculty Sponsor (Last, First Name): 
Hernandez-Boussard, Tina
Other Mentor(s) if Applicable: 
Tina Hernandez-Boussard
Stanford Departments and Centers: 
Biomedical Informatics
Epidemiology and Population Health
Biomedical Data Sciences
Postdoc Appointment Term: 
Open immediately for 1, 2, or 3 years
Appointment Start Date: 
Open immediately
How to Submit Application Materials: 

Email materials to Dr Hernandez-Boussard : boussard AT

Applications are invited from ambitious, independent and motivated candidates for a postdoctoral position in the Biomedical Informatics.

The position will focus on clinical research informatics and precision medicine under Dr Hernandez-Boussard with the Department of Medicine (Biomedical Informatics) – Stanford Center for Biomedical Informatics Research (BMIR).

Working with a multi-disciplinary team, we aim to improve the quality of healthcare delivery by developing, implementing, supporting, and scaling research informatics methods and software. Working within a group in BMIR will offer the postdoctoral fellow the opportunity to collaborate with a large variety of collaborators across the school of medicine to develop organizational and informatics skills that could lead to a future leadership position.

Examples of projects that the postdoctoral fellow may participate in include:

  • Predictive analytics for opioid/pain management research
  • Risk-stratification for optimal treatment pathways in oncology
  • Tools to promote FAIR principles (Findable, Accessible, Interoperable, Reproducible)
  • Ethical and Trustworthy AI empirical research
  • Multi-model data: Combining clinical EHR data with other data types to support precision medicine
  • Translational Research: Integration of clinical research to clinical workflow
  • Oncology ‘Digital Twin’ development: Develop probable outcome characteristics across different treatment options to guide decisions

The postdoctoral fellow will be involved in the day-to-day operations of a large research informatics group. As a collaborative team scientist, they would contribute to research protocol development; project data manipulation and analysis; authorship of resultant manuscripts, including opportunities to publish on the development, implementation or evaluation of novel research informatics methods.

Required Qualifications: 
  • Excellent written and oral communication skills
  • Be able to work in a highly collaborative fast-paced environment
  • Be able to successfully interact with diverse stakeholders, including clinicians, IT staff, basic scientists, and translational researchers
  • Ph.D. with a strong background in biomedical informatics (e.g. information extraction from electronic medical records and predictive modeling)
  • Proven track record in either R programming or python. Proficiency in other programming environments is a plus
Required Application Materials: 
  • Detailed CV
  • Cover letter with description of research interests and career goals
  • Contact information for three references


Stanford is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law.