Skip to content Skip to navigation

Open Postdoctoral position, faculty mentor Daniel Tawfik

Important Info

Faculty Sponsor (Last, First Name): 
Tawfik, Daniel
Stanford Departments and Centers: 
Ped: Critical Care Medicine
Postdoc Appointment Term: 
One year, with option to extend by mutual agreement
Appointment Start Date: 
As soon as possible
How to Submit Application Materials: 

Please submit all required application materials online via:

Does this position pay above the required minimum?: 
Yes. The expected base pay range for this position is listed in Pay Range field. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the qualifications of the selected candidate, budget availability, and internal equity.
Pay Range: 
$75,000 - $80,000

An opportunity for a postdoctoral fellow is available in the lab of Dr. Daniel Tawfik in the Department of Pediatrics, Division of Pediatric Critical Care Medicine at Stanford University. The Tawfik lab studies the use of electronic health record metadata in identifying structures and processes that promote high quality healthcare. Our projects apply advanced analytical methods to large databases of primarily structured electronic health record data and EHR usage metadata.
The position will have the opportunity to lead projects and contribute to ongoing work with other faculty, fellows, and PIs at Stanford and other collaborating institutions. These projects will explore the use of EHR metadata in creating measures that quantify several aspects of team dynamics within health care settings, relate those measures to traditional knowledge sources about teams, and use them to develop prediction models for patient safety events.
In addition to priority projects, the Postdoc will have the opportunity to work with other researchers both at Stanford and within our larger national network of collaborators with similar research programs.

Required Qualifications: 

o Highly motivated postdoctoral researcher with:
• Experience in relational databases, big data curation and analysis
• Expertise in machine learning, including building and deploying prediction models
• Strong data science coding skills in programs and languages such as Python, R, Stata, and SQL
• Experience with research in healthcare domains preferred
• Experience with mixed methods research approaches preferred
o Doctoral degree (PhD, MD, or equivalent) conferred by start date

Required Application Materials: 

o Curriculum Vitae
o Cover letter including statement of interest, research experience, and career goals
o Contact information for 3 references
o Up to 2 key papers or other scientific writing samples that demonstrate your research


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.