Deputy Director, Interventional Radiology Research

Stanford University

Job Number: 81354

Job Code: 5570
Job Grade: R99
This is a 2-year fixed term appointment, renewable, 100% FTE.
The Division of Interventional Radiology in the Radiology Department 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 8 faculty members (7 MDs, 1 MD/ PhD). Within 18 months, there will be 11 faculty members. Additionally, there are 6 interventional radiology clinical fellows, residents and medical students. All of whom contribute to the research mission.

Job duties and responsibilities include:
Scientific Collaborator:

• Assist in grant writing big proposals, industry collaboration, and clinical research.
• Liaison within the Radiology Department among other Deputy Directors and Vice Chair of Research
• Increase funding opportunities
• Maintain centralize grant resources

Partner with the faculty on various initiatives:

• Evangelize the Interventional Radiology Research program through managing the content on the website and promotion and outreach programs
• Philanthropy efforts

Other:

• 10-20% initiate own ideas
• Serve as a resource to help on-board new lab participants such as medical students, residents, fellows, and visiting scholars.
• Space planning
• Data sharing

Qualifications:

• MD, PhD or MD/PhD
• At least 5 years of experience since graduate degree
• Experience writing federal grants

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 or PhD 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.
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 welcomes applications from all who would bring additional dimensions to the University's research, teaching and clinical missions.
If interested, please send your CV and a letter of intent to Dr. Lawrence “Rusty” Hofmann, Professor and Chief, Interventional Radiology at LHofmann@stanfordhealthcare.org.

Job:

Location: School of Medicine, California, United States
Schedule:
Classification Level:

To be considered for this position please visit our web site and apply on line at the following link: stanfordcareers.stanford.edu

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.







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