California, United States
17 Oct 2018
End of advertisement period
17 Dec 2018
Contract Type
Full Time

Stanford School of Medicine seeks a Biostatistician to support the Stanford WellMD Center, a new and pioneering program among US academic medical centers and an international thought leader and research entity in the field of physician wellness. The Center Biostatistician, reporting to the Chief Wellness Officer, will assist with intervention design and proposal development and be responsible for analysis, monitoring of data integrity, and evaluation of new initiatives and projects related to the work of the WellMD Center, which include a number of multi-center and national studies as well as interventional pilot studies and clinical trials across Stanford Medicine.

The Stanford WellMD Center aims to improve the professional fulfillment and well-being of physicians and scientists through organizational science. We are dedicated to the School of Medicine’s mission of advancing and exploring innovative and novel biomedical, translational, and clinical research and education by fostering interactions and collaboration among physicians, basic and clinical scientists, medical students, educators, and other health professionals (e.g., advanced practice providers and nurses) throughout Stanford Medicine as well as across the nation. Through our integrated research, education, and patient and community outreach programs, we are committed to maintaining the highest standards of academic medicine and patient care. The Center serves as a central organizing structure for physician wellness and professional fulfillment activities throughout the Stanford Medicine enterprise. The Center’s goals are to: 1) improve the wellbeing of Stanford Medicine faculty through organizational science; 2) contribute to scholarship in the field of physician wellness; and 3) provide national leadership in addressing the epidemic of clinician burnout that threatens the health of our citizens. These efforts include a robust research program, including longitudinal cohort studies as well as clinical trials testing individual and organizational interventions.

Specific duties include:

  • Design and implement data analysis and research projects that inform intervention design and physician wellness programming. Assist with planning, development, analysis and implementation of projects related to physician wellness data. Oversee data collection processes and maintain data integrity. Run data validation tests, e.g., logical variable ranges, frequency of unknowns, data duplicates. Identify data gaps and proactively identify opportunities to improve data acquisition. 
  • Develop subsets/intermediate data sets for analysis. Prepare data files and relevant covariate data and manage data blending and linkages to other data sets. Evaluate, implement, and manage software solutions for data compilation and data management. Train other researchers and physicians on the use of data sets.
  • Use data and statistical analysis, evaluate efficacy of WellMD initiatives and programs. Assess predictive capability and measurement error. Perform advanced and technical statistical analysis on data sets. Experience with mixed effects models (AKA random effects models or multilevel models) to analyze data with multiple data points within individual respondents is essential. Experience with advanced methods to support validation and development of tools to assess latent variables is highly desirable (e.g. confirmatory factor analysis and item response theory based analyses). Other desirable experience includes use of network analysis, predictive models, and economic analyses such as cost effectiveness assessment. Data sets that will be part of proximal analysis work include longitudinal data from national samples of U.S. physicians and U.S. workers across all occupations, as well as data from multi-center studies from the Physician Wellness Academic Consortium (PWAC). 
  • Help design and develop the analyses plan for intervention trials at Stanford including assessment of statistical power and associated determination of sample size for specific trials and identified outcome measures. Additional anticipated studies and analyses include evaluation of a state-wide program aimed at reducing burnout and improving professional fulfillment for physicians.
  • Prepare statistical reports and supporting illustrations for publication and presentation. 
  • Maintain relationships with researchers at other institutions on data-related issues.

* - Other duties may also be assigned.

About Stanford University School of Medicine

Stanford University School of Medicine, located in the heart of Silicon Valley, was founded in 1858 with a mission to be the premier research-intensive medical school that improves health through leadership, diversity, and a collaborative approach to discovery and innovation in patient care, education, and research.

With more than 2,300 faculty, each providing a unique mix of research, education, and patient care effort, organized in 30 academic departments and 16 interdisciplinary institutes and centers, supported by more than 3,900 staff, educating 3,000 students, postdoctoral fellows, clinical residents/fellows, and trainees, and collectively generating about $2.6B in revenues, the School of Medicine is Stanford’s largest school and truly a complex organization.

Holistically, the School of Medicine is rooted in an inclusive culture of excellence and diversity that values innovation, collaboration, and life-long learning. To foster the talents and aspirations of staff, Stanford offers career development programs, competitive pay that keeps pace with market trends, and benefits that increase financial stability and promote healthy, fulfilling lives.


Master's degree or Ph.D preferred. in biostatistics, statistics or related field and at least 3 years of experience.


  • Proficient in at least two of R, SAS, SPSS, or STATA. 
  • Skills in descriptive analysis, modeling of data, and graphic interfaces.
  • Outstanding ability to communicate technical information to both technical and non-technical audiences.
  • Demonstrated excellence in at least one area of expertise, which may include coordinating studies; statistical methodology such as missing data, survival analysis, statistical genetics, or informatics; statistical computing; database design (e.g., expertise in RedCAP or MySQL); graphical techniques (e.g., expertise in Illustrator).


  • Frequently perform desk based computer tasks, seated work and use light/ fine grasping. 
  • Occasionally stand, walk, and write by hand, lift, carry, push pull objects that weigh up to 10 pounds.

* - 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 his or her job.


May work extended or non-standard hours based on project or business cycle needs.


  • Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
  • Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.
  • Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide,