Research - Laboratory/Non-Laboratory, Staff/Administrative
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.
This position is a 15-months role involving statistical computing and analytical activities for a growing research program within the Reproductive Endocrinology and Infertility Division of the Department of Obstetrics and Gynecology. We are seeking an experienced analyst who will work with a variety of physician-scientists, clinicians, fellows, residents and medical students on quantitative research related to Women’s Health. The ideal candidate will work under limited supervision and will demonstrate the ability to work independently and efficiently. He or she must understand both database and research complexities, and apply independent problem-solving utilizing existing and emerging scientific knowledge.
This position involves a wide range of tasks including data management, programming and analysis using both existing national data bases such as the NEDS and newly-collected data from ongoing projects. Specifically, the position involves providing independent and collaborative statistical support including:
Writing, testing, and implementing programs using SAS and/or Stata to clean, manage, merge and analyze large, complex data sets
Implementing methods to ensure data quality
Preparing and maintaining technical documentation of data and analysis files
Participating as a team member in discussions on analysis and improvement of data collection, quality of data analyses, programming and documentation
Developing and drafting specific analysis plans
Independently conducting appropriate data analyses
Providing guidance for study design issues
Performing power calculations and estimating sample size
Summarizing, interpreting and presenting results in written, tabular and visual formats
Assisting in the writing of manuscripts and grant proposals.
Master’s degree in statistics, biostatistics, econometrics, psychometrics, or related field
Two or more years of experience using SAS and Stata or SPSS for database management and statistical analysis
Strong data management knowledge
Strong interpersonal and written communication skills
Flexibility and ability to work independently and collaboratively with multiple researchers, including physicians and students with varying levels of statistical training
Ability to prioritize, organize, and efficiently work on multiple projects at the same time
Ability to be consistently detail-oriented
Experience in managing and supporting major research projects using large administrative data sets
Experience with survey data
This is a time limited position lasting for 15 months. It's estimated to end on November 30, 2020.
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.
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.
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.
Internal Number: 176563
About University of Michigan - Ann Arbor
A great university is made so by its faculty and staff, and Michigan is recognized as one of the best universities to work for in the country. The Michigan culture is known for engaging faculty and staff in all facets of the university to create a workplace that is vibrant and stimulating.For two consecutive years, the Chronicle of Higher Education has placed U-M in its "Great Colleges to Work For" survey. In particular, the university earns high marks for strong relations between faculty and administrators, a collaborative system of governance, strong pay and benefits, and a healthy work/life balance.