Biostatistician​/Research Data Analyst; Health Services Emergency Medicine; U.S

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

- Flexible Work Location) at Stanford University summary:

This fixed-term Biostatistician/Research Data Analyst role in Emergency Medicine involves leading population health and health services research projects, focusing on the analysis of administrative datasets to improve emergency care delivery and health equity. Responsibilities include study design, data analysis, regulatory compliance, collaboration with multidisciplinary teams, mentoring, and grant writing. The position requires advanced statistical expertise, proficiency in relevant software, and strong communication skills to disseminate findings and support research initiatives.

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 2-year fixed-term position with a possibility for extension based on performance, the availability of funding and programmatic needs.

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.

Duties include:

• 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.

DESIRED QUALIFICATIONS:

• Experience leading independent analysis and interpretation of administrative claims datasets (e.g., Medicare, Optum, Market Scan). 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 manage multiple…