Statistician Staff Specialist

3 months ago

Ann Arbor, United States University of Michigan Full time

Mission Statement

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.

Why Join Michigan Medicine?

Michigan Medicine is one of the largest health care complexes in the world and has been the site of many groundbreaking medical and technological advancements since the opening of the U-M Medical School in . Michigan Medicine is comprised of over 30, employees and our vision is to attract, inspire, and develop outstanding people in medicine, sciences, and healthcare to become one of the world’s most distinguished academic health systems. In some way, great or small, every person here helps to advance this world-class institution. Work at Michigan Medicine and become a victor for the greater good.

What Benefits can you Look Forward to?

Excellent medical, dental and vision coverage effective on your very first day 2:1 Match on retirement savings

Responsibilities*

This position involves a wide range of tasks related to the management and analysis of quantitative data from surveys, claims, and geographic data. Specifically, the position involves providing independent and collaborative statistical support including:

Determine the appropriate statistical testing/modeling approach in accordance with the project's design.  Create, manipulate, merge, and maintain large, complex datasets. Independently conduct appropriate statistical methods. Summarize, interpret, and present results in written, tabular and visual formats for reports, manuscripts, and presentations. Prepare and maintain technical documentation of data and analysis files. Mentor and train junior/intermediate analysts and student assistants. Regularly update PI and team on progress and participate in team meetings (virtual and in-person). Contribute to the writing of manuscripts and grant proposals. Perform data acquisition and management activities including sensitive and restricted data (e.g., CMS data and geographic codes).

Required Qualifications*

Masters degree with at least 6-8 years of experience or PhD with at least 5 years of experience in statistics, public health, public policy, economics, or a related field focused on data analysis and interpretation. At least 6-8 years of experience in data management, statistical analysis and independent programming. Experience using Stata is preferred; experience with R, SAS, or Python is optional. Experience with large datasets, complex data structures, and linkages between data sources. Ability to prioritize, organize, and efficiently work on multiple projects at the same time. Flexibility and ability to work independently and collaboratively with team members and researchers. Excellent interpersonal and communication skills, both oral and written in the English language. Proven ability to accurately and efficiently assess technical problems and provide/program solutions. Proven ability to write clear and concise technical documentation, summaries of various methodologies, and descriptions of statistical results. Track record for successfully meeting project goals and deliverables in a timely manner.

Desired Qualifications*

Experience leading teams in statistical analysis and database management.  Experience working on and managing secure data servers. Training or experience in composite measure development. Expertise and experience in geographic data analysis.  Experience in using large longitudinal data.

Modes of Work

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

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