Senior Research Scientist (3-Year Fixed-Term), Emergency Medicine (U.S. - Flexible Work Location) at Stanford University in Palo Alto, California

Job Description:

Senior Research Scientist (3-Year Fixed-Term), Emergency Medicine (U.S. - Flexible Work Location)🔍School of Medicine, Stanford, California, United StatesNew📁Research📅15 hours ago Post Date📅105122 Requisition #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 highly skilled and motivated Research Scientist with project management experience to join our dynamic team. The successful candidate will be responsible for leading and managing emergency medicine population health and health services projects, with a focus on ensuring successful completion of extramurally funded research projects with diverse teams. The position will be primarily based in Dr. Michelle Lin's and Dr. Maame Yaa Yiadom's labs conducting NIH-funded research to improve emergency care delivery, outcomes, and health equity. This is an exciting opportunity to contribute to cutting-edge research that aims to improve emergency medical care and population health outcomes. The successful candidate must be technically rigorous, possess exceptional organizational skills and attention to detail and have a track-record of excellence, innovation, and productivity in research. Further training beyond the postdoctoral training is desirable. This is a hybrid/ remote position starting as soon as possible. Experience with study design, statistical inference/biostatistics, and independent data analysis skills are required. Experience with clinical billing claims data, machine learning, informatics, AI, and grant writing is attractive.
KEY RESPONSIBILITIES:

Lead the design and implementation of quantitative research studies related to emergency medicine and population health.Oversee statistical analyses of complex data sets using appropriate methodologies and software.Interpret and communicate research findings to diverse audiences, including healthcare professionals, policymakers, and the general public.Collaborate with multidisciplinary teams to develop and execute project plans, ensuring timely completion and delivery of project milestones.Train and supervise staff, postdoctoral fellows, graduate students, and research assistants.Contribute to grant writing to support ongoing and future research initiatives.Overseeing the development of study protocols and data use agreements, including coordinating regulatory approval from the institutional review boards to assure regulatory compliance.Coordinating scientific activities, scheduling meetings, and developing agendas for meetings.Ability to prioritize, multi-task, and assign work to others. Ability to take initiative and ownership of projects.

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.
REQUIRED QUALIFICATIONS:

Ph.D. or equivalent degree in epidemiology, biostatistics, public health, health policy, health economics.Experience in project management and quantitative research design and analysis.Proven track record of managing complex research projects from conception to completion (e.g. peer-reviewed publications and references).Proficiency in statistical software such as Python, R, SAS, and/ or STATA.Excellent written and verbal communication skills, with the ability to effectively communicate technical information to non-technical stakeholders.Strong organizational skills and attention to detail.Demonstrated ability to work collaboratively in a team environment.Strong communication skills, including ability to prepare materials for and clearly and effectively communicate information to internal and external audiences and client groups.

DESIRED QUALIFICATIONS:

3-5 years of work experience in an academic setting and/or research institution.Experience with grant writing.Experience conducting analyses with administrative claims datasets (e.g., Medicare, Optum, MarketScan).Experience with machine learning, informatics, and artificial intelligence

The expected pay range for this position is $90,000 to $155,000 per annum.


Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.
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.Additional Information

• Schedule: Full-time


• Job Code: 5578


• Employee Status: Regular


• Grade: R99


• Requisition ID: 105122


• Work Arrangement : Remote Eligible

Apply Now