Biostatistician/Research Data Analyst (Health Services) - 2-Year Fixed-Term, Emergency Medicine (U.S. - Flexible Work Location)

About the position The Department of Emergency Medicine is seeking a highly skilled and motivated Biostatistician 3 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 lab conducting NIH-funded research to improve emergency care delivery, outcomes, and health equity. 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. Experience independently designing and analyzing scientific studies using administrative datasets (e.g.: Medicare or commercial claims) is required. This will be a 2-year fixed-term position with a possibility for extension based on performance, the availability of funding and programmatic needs. 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.

Responsibilities

• Lead the design and implementation of research studies measuring emergency care access, quality, and outcomes, including peer-reviewed manuscripts and scientific presentations.
• 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.
• Identify appropriate statistical tools for analysis.
• Implement data analysis through statistical programming.
• Consult with investigators and others on appropriate statistical approaches to data analyses; assist in study design.
• Develop oral and written dissemination of findings for conference presentations and peer-reviewed journal articles.
• Mentor clinical investigators on relevant research methods.
• Implement studies to address statistical issue arising from collaborations.
• Other duties may also be assigned.

Requirements

• Master's degree in biostatistics, statistics or related field and at least 5 years of experience or Ph.D. in health policy, biostatistics, epidemiology, or related field.
• 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.
• 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, http://adminguide.stanford.edu.

Nice-to-haves

• Experience leading independent analysis and interpretation of administrative claims datasets (e.g., Medicare, Optum, MarketScan). Other types of data include electronic health records, surveys, and administrative data. The successful candidate will have expertise in data management, analysis of these types of data, and also experience with data extraction and database development.
• Excellent verbal and written communication skills are necessary both internally and externally. The candidate will interface with collaborators and trainees, including data documentation, protocol development, advising, and drafting scientific literature and proposals as related to their statistical analyses, and also write up their own work and present at meetings.
• Proven track record of managing complex research projects from conception to completion (e.g. peer-reviewed publications and references).
• Ability to take initiative and ownership of projects; prioritize and m

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