A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and outline skills and experience that directly relate to this position.

The Multicenter Perioperative Outcomes Group (MPOG) within the Department of Anesthesiology at Michigan Medicine is hiring a Scientific Research Facilitator (SRF). MPOG is a consortium of over 60 hospitals that seeks to improve patient care, through research, quality improvement and education, using electronic health record (EHR) and clinical registry data. Our multidisciplinary Michigan-based team includes anesthesiologists, nurses, data scientists, computer programmers, project managers, epidemiologists and statisticians. We work closely with colleagues at Anesthesiology departments across the country and internationally to develop policies, procedures, and the technical infrastructure required to conduct large-scale research, create quality improvement initiatives, educate caregivers, and guide healthcare administration. The SRF position is a service-based role that includes critically evaluating research proposals, assessing the progress of research projects, and identifying challenges to data access and data quality with the overarching goal of increasing the efficiency of study teams in obtaining and utilizing EHR data. The SRF will collaborate with research colleagues and work as part of the MPOG Research Team but will also need to work independently with autonomy in decision making.

Michigan Medicine improves the health of patients, populations and communities through excellence in education, patient care, community service, research and technology development, and through leadership activities in Michigan, nationally and internationally.  Our mission is guided by our Strategic Principles and has three critical components; patient care, education and research that together enhance our contribution to society.

• Review proposed research proposals and consult with study teams to refine and adapt methodologies to fit research requirements and determine data availability, feasibility, and reliability
• Formulate research methods and advise on the quality of study design and data management sections of research proposals, grant applications, and publications
• Co-author peer-reviewed manuscripts and grant applications, with a focus on rigorous methodology and interpretation of results 
• Communicate regularly with study teams both via email and virtual video meetings to discuss and troubleshoot proposed research projects
• Assess ongoing progress of research projects, identify potential obstacles or barriers to completion, and suggest options for improvement
• Collaborate with clinicians and colleagues across MPOG teams which includes participating in working groups and/or quality subcommittee meetings
• Maintain large datasets through tasks such as merging files; restructuring and recoding variables and checking for errors; performing basic data analyses

• Master's degree or higher in Information Science, Public Health, Social Sciences or a related field
• A minimum of five (5) years of experience in an academic or medical research environment with at least two (2) years of experience in reviewing or writing research proposals
• Experience with practices of observational research and epidemiologic principles related to working with large, healthcare related datasets 
• Supervisory and financial management experience 
• Ability to multitask and prioritize effectively while working as part of a team or individually to meet deadlines
• Knowledge of and familiarity with statistical software (at least one of SAS, STATA, or R) and Microsoft 365 tools 
• Highly professional demeanor and positive attitude with outstanding written and oral communication skills and the ability to interact with diverse individuals including research scientists, clinicians, analysts, and programmers

• PhD degree in Information Science, Public Health, Social Sciences or a related field
• Previous customer service experience
• Previous experience working with large and/or multi-site datasets (over 25 million cases)
• Knowledge of database structures and structured query language, such as Microsoft SQL, would be beneficial

Hybrid (Remote and Arbor Lakes)

Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes.

Michigan Medicine conducts background screening and pre-employment drug testing on job candidates upon acceptance of a contingent job offer and may use a third party administrator to conduct background screenings.  Background screenings are performed in compliance with the Fair Credit Report Act. Pre-employment drug testing applies to all selected candidates, including new or additional faculty and staff appointments, as well as transfers from other U-M campuses.

Job openings are posted for a minimum of seven calendar days.  The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled anytime after the minimum posting period has ended.

The University of Michigan is an equal opportunity/affirmative action employer.