Stanford University
Senior Research Scientist (3-Year Fixed-Term), Emergency Medicine (U.S. - Flexib
Stanford University, Palo Alto, California, United States, 94306
The following position will have the flexibility to be based anywhere in the U.S., for candidates who are willing to travel to the Stanford School of Medicine campus 5%-10% of the time, as needed.
This will be a 3-year fixed-term position with a possibility for extension based on performance, the availability of funding and programmatic needs.
The mission of the Stanford Department of Emergency Medicine is to transform healthcare for all by leading in the advancement of emergency medicine through innovation and scientific discovery. We are dedicated to providing career-defining education, leading-edge research, and precision emergency medical care.
Emergency Medicine is a rapidly-developing field, and Stanford is leading research in many facets of care. The department benefits from collaboration with other disciplines at Stanford, within local Silicon Valley, and across the globe. Stanford is leading research efforts to transform health care for all through Precision EM. Precision Emergency Medicine utilizes information and technology to effectively, efficiently, and authentically deliver acute care for our individual patients and our communities.
The Department of Emergency Medicine is seeking a Senior Research Scientist to lead its Study Design and Statistical Analysis Core. This role involves leading the study design and analysis team supporting faculty research.
RESEARCH AREAS INCLUDE:
Emergency Care Systems; Informatics; AI/Machine Learning; Global and Population Health; Pediatric Emergency Medicine; Emergency Medical Services; Point-of-care Diagnostics; Pandemic Preparedness and Response; Digital Health; Healthcare Technologies; Translational Medicine and Clinical Trials.
CORE DUTIES:
The candidate will support department faculty, trainees, and students with varying levels of experience with research to design and plan studies, data collection and data management towards analysis and publication of results. This work can involve the use of administrative data sets, primarily collected data, national/global data registries, and electronic health record data. They will also provide data analysis and visualization support to the department's Business Intelligence and Quality Improvement Analyst.
The candidate will work with faculty, data analysis staff, and trainees in a collaborative team science fashion offering mentorship through participation. They will supervise the work of departmental research data analysts available to support data management, the conduct of study analyses, and co-preparation of manuscripts for results publication in the literature while collaborating with the departments professional medical editing team to advance faculty and trainee growth in scientific writing. They will also participate in departmental works-in-progress sessions providing direct and indirect feedback on a range of projects.
QUALIFICATIONS / MINIMUM REQUIREMENTS:
Ph.D. in Biostatistics, Epidemiology or alternative appropriate discipline.
Candidates for the senior position will ordinarily have completed a minimum of five years at the Research Scientist, Engineer, or Scholar rank (or will have equivalent experience).
Ability to support the education and growth of physician faculty and medical trainees as collaborative peers in study design, conduct of research data analyses, and associated academic presentation and publication of research methods.
Experience in supervising the work of data analysts available to support the conduct of study analyses while conducting analysis directly when needed.
Proficiency in statistical languages such as Python, R, SAS, SPSS, STATA.
Excellent written and oral skills with experience writing medical research papers.
Ability to work independently and part of the department's internal data sciences team.
Strong communication skills, including ability to prepare materials for and clearly and effectively communicate information to internal and external audiences and client groups.
The expected pay range for this position is $135,000 to $155,000 per annum.Stanford University has provided a pay range representing its good faith estimate of what the university reasonably expects to pay for the position. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the experience and qualifications of the selected candidate including equivalent years since their applicable education, field or discipline; departmental budget availability; internal equity; among other factors.
At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( https://cardinalatwork.stanford.edu/benefits-rewards ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.
The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.
Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at
stanfordelr@stanford.edu . For all other inquiries, please submit a
contact form .
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 mission.
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This will be a 3-year fixed-term position with a possibility for extension based on performance, the availability of funding and programmatic needs.
The mission of the Stanford Department of Emergency Medicine is to transform healthcare for all by leading in the advancement of emergency medicine through innovation and scientific discovery. We are dedicated to providing career-defining education, leading-edge research, and precision emergency medical care.
Emergency Medicine is a rapidly-developing field, and Stanford is leading research in many facets of care. The department benefits from collaboration with other disciplines at Stanford, within local Silicon Valley, and across the globe. Stanford is leading research efforts to transform health care for all through Precision EM. Precision Emergency Medicine utilizes information and technology to effectively, efficiently, and authentically deliver acute care for our individual patients and our communities.
The Department of Emergency Medicine is seeking a Senior Research Scientist to lead its Study Design and Statistical Analysis Core. This role involves leading the study design and analysis team supporting faculty research.
RESEARCH AREAS INCLUDE:
Emergency Care Systems; Informatics; AI/Machine Learning; Global and Population Health; Pediatric Emergency Medicine; Emergency Medical Services; Point-of-care Diagnostics; Pandemic Preparedness and Response; Digital Health; Healthcare Technologies; Translational Medicine and Clinical Trials.
CORE DUTIES:
The candidate will support department faculty, trainees, and students with varying levels of experience with research to design and plan studies, data collection and data management towards analysis and publication of results. This work can involve the use of administrative data sets, primarily collected data, national/global data registries, and electronic health record data. They will also provide data analysis and visualization support to the department's Business Intelligence and Quality Improvement Analyst.
The candidate will work with faculty, data analysis staff, and trainees in a collaborative team science fashion offering mentorship through participation. They will supervise the work of departmental research data analysts available to support data management, the conduct of study analyses, and co-preparation of manuscripts for results publication in the literature while collaborating with the departments professional medical editing team to advance faculty and trainee growth in scientific writing. They will also participate in departmental works-in-progress sessions providing direct and indirect feedback on a range of projects.
QUALIFICATIONS / MINIMUM REQUIREMENTS:
Ph.D. in Biostatistics, Epidemiology or alternative appropriate discipline.
Candidates for the senior position will ordinarily have completed a minimum of five years at the Research Scientist, Engineer, or Scholar rank (or will have equivalent experience).
Ability to support the education and growth of physician faculty and medical trainees as collaborative peers in study design, conduct of research data analyses, and associated academic presentation and publication of research methods.
Experience in supervising the work of data analysts available to support the conduct of study analyses while conducting analysis directly when needed.
Proficiency in statistical languages such as Python, R, SAS, SPSS, STATA.
Excellent written and oral skills with experience writing medical research papers.
Ability to work independently and part of the department's internal data sciences team.
Strong communication skills, including ability to prepare materials for and clearly and effectively communicate information to internal and external audiences and client groups.
The expected pay range for this position is $135,000 to $155,000 per annum.Stanford University has provided a pay range representing its good faith estimate of what the university reasonably expects to pay for the position. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the experience and qualifications of the selected candidate including equivalent years since their applicable education, field or discipline; departmental budget availability; internal equity; among other factors.
At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( https://cardinalatwork.stanford.edu/benefits-rewards ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.
The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.
Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at
stanfordelr@stanford.edu . For all other inquiries, please submit a
contact form .
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 mission.
#J-18808-Ljbffr