How to Apply
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 is an exciting and challenging full-time position involving statistical computing, biostatistical and analytical activities for a growing research program within 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.
The position is associated with the Reproductive Endocrinology and Infertility Division of the Department of Obstetrics and Gynecology. Ongoing projects include a study of emergency department use for women’s health issues using HCUP’s NEDS data base, a longitudinal R01 funded study of ovarian aging and reserve (SOAR), an R01 study of uterine fibroids among Latina women in the Detroit area (ELLAS), and individual research projects by Division physicians and students.
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.
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 such as those from the SOAR and ELLAS projects. Specifically, the position involves providing independent and collaborative statistical support including:
- Writing, testing, and implementing programs using SAS and Stata to clean, manage, merge and analyze large, complex data sets
- Implementing methods to ensure data quality
- Conducting computer programming as needed for completion of other tasks
- 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
- 4 or more years of experience using SAS and Stata or SPSS for database management and statistical analysis
- Experience with complex data structures and linkages between data sources
- Working knowledge of epidemiologic concepts and methodology
- Strong programming knowledge using high-level programming language
- Ability to draft statistical tests in accordance with the project’s design, solve analytic problems, and develop instruments and related analysis plans
- 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
- PhD is preferred
- Direct experience in managing and supporting major research projects using large administrative data sets
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. This job may be removed from posting boards and filled anytime after the minimum posting period has ended.
U-M EEO/AA Statement
The University of Michigan is an equal opportunity/affirmative action employer.