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Deputy Director of Research

Employer
Stanford University
Location
Stanford, CA
Closing date
Jun 21, 2022

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Sector
Other
Organization Type
Corporate
Deputy Director of Research[School of Medicine, Stanford, California, United States](https://careersearch.stanford.edu/jobs/16455/other-jobs-matching/location-only)ResearchMar 16, 2022 Post Date91048 Requisition #The Division of Interventional Radiology in the [Radiology Department](http://radiology.stanford.edu/) and the Stanford University School of Medicine is seeking a Deputy Director of Research with the goal of augmenting interventional radiology's clinical research program and enhancing its Learning Health System. Stanford's Division of Interventional Radiology has a 4-decade history of developing minimally invasive procedures to meet unmet medical needs for patients world-wide. Numerous patents, devices, innovative procedures and companies have resulted from the work of the faculty members in the Division. Currently, the division consists of 10 faculty members (8 MDs, 2 MD/ PhD), with plans to scale to 11 faculty members within 18 months. Additionally, at any time there are nearly a dozen interventional radiology clinical fellows, residents and medical students, all of whom contribute to the research mission. Applicants should have an outstanding record of collaborative clinical and data science research with an emphasis on bioinformatics, clinical informatics, and clinical research. Specifically, the successful candidate should have a track record of working with a diverse set of patient-derived data sets (i.e., outcomes data, clinical data, imaging data, genomics, proteomics, claims data, cost data, quality data). The ideal candidate should have an MD, PhD, MD/PhD with specialization in one of the following: biomedical informatics, biostatistics, clinical informatics, epidemiology, or computer science with a strong background of computer programming, database design, and working with large datasets. It is expected that this candidate will partner with interventional radiology faculty and develop an externally funded research agenda. This will entail skills in grant writing, study design, data acquisition, data analysis, data visualization, machine learning, predictive modeling, survival analysis and treatment decision support. Criteria for the position include demonstrated ability to obtain peer-reviewed research funding or the potential to secure such funding, excellence in collaborative clinical/data science research. This is a 2 year fixed term position with a possibility for extension based on funding. Stanford University is an equal opportunity employer and is committed to increasing the diversity of its faculty and academic staff. It welcomes nominations of and applications from women and members of minority groups, as well as others who would bring additional dimensions to the University's research, teaching and clinical missions. *PRIMARY PURPOSE(S)*
The primary purpose of the Deputy Director of IR Research is to facilitate, promote, and expand translational and clinical research within the Division. In particular, the Division has pioneered a data-driven approach to Interventional Radiology with structured reporting systems for clinical evaluation of patients as well as procedural dictations, and we seek an individual to maintain current systems and expand these efforts in order to answer clinical research questions. *QUALIFICATIONS:*
*KNOWLEDGE:* Describe the technical or business knowledge required or desired to complete the job's primary responsibilities. *REQUIRED: *
• Graduate degree (MD, PhD, MD/PhD)
• At least 5 years experience since graduate degree
• Experience writing federal grants
• Outstanding record of collaborative clinical and data science research with an emphasis on bioinformatics, clinical informatics, and clinical research. Track record of working with a diverse set of patient-derived data sets (i.e., outcomes data, clinical data, imaging data, genomics, proteomics, claims data, cost data, quality data).
• Strong background of computer programming, natural language processing, healthcare data mining, machine learning, database design, and working with large datasets
• Skills in grant writing, study design, data acquisition, data analysis, data visualization, machine learning, predictive modeling, survival analysis and treatment decision support. Additional Information
* Schedule: Full-time
* Job Code: 5570
* Employee Status: Regular
* Grade: R99
* Department URL: [http://radiology.stanford.edu/](http://radiology.stanford.edu/)
* Requisition ID: 91048

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