Database Analyst/Programmer Senior/Intermediate

07/20/2019 ∙ 0 APPLY VIEW ALL JOBS




DEPARTMENT: Int Med-General Medicine

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. Please include types of analyses you can do and example code (see below).

Job Summary

A physician-scientist in the Department of Internal Medicine, Division of General Medicine seeks a full-time Database Analyst / Programmer Senior to join exciting and growing research teams including physicians, biostatisticians, and health services researchers.

We are seeking experienced master-level analyst/statistical programmer with experience managing and analyzing data for health services research using STATA or SAS. Experience with large administrative file analysis and longitudinal data analysis are preferred. The analyst must be able to work independently and collaboratively. These analysts must understand both database and research complexities, and apply independent problem-solving skills and scientific knowledge. We support and encourage opportunities to participate in ongoing training, collaborative research meetings, advanced methods workshops, and papers.

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.

Who We Are

MCI DeM Study

One of the most frequent challenges clinicians face is managing serious illness in older patients with mild cognitive impairment (MCI), a condition that affects up to 1 in 5 older Americans. The MCI DeM study is an NIH/NIA-funded R01 study that aims to compare the quality of cardiovascular disease care in adults with and without MCI and to determine the influence of MCI on patient preferences and physician recommendations for heart attack and stroke treatment. This is a multi-center, mixed methods study in collaboration with researchers from Duke University. The study involves secondary data analysis of 2 existing longitudinal cohorts as well as primary data collection using semi-structured interviews and surveys of patients, care partners, and physicians.

BP COG Study

Cognitive impairment and dementia (CID) as well as high blood pressure (BP) disproportionately affect Blacks and Hispanics in the US. The BP COG study is an NIH/NINDS-funded R01 study that aims to determine the effect of BP over the life course on the risk of CID in Blacks, Hispanics, and Whites, and to estimate the potential impact of optimal BP treatment intensity to reduce racial/ethnic disparities in CID. This is a multi-center study in collaboration with researchers from Columbia University and Johns Hopkins University. The study involves pooling and harmonizing data from 6 existing longitudinal cohorts, secondary data analysis, and simulation modeling.


This position involves a wide range of tasks including data management, statistical programming, and analysis supporting health services research. Specifically, the position involves providing independent and collaborative support including the following responsibilities:

  • Providing guidance for study design issues.
  • Performing power calculations and estimating sample size.
  • Writing, testing, and implementing programs using Stata or SAS to clean, manage, merge, and analyze large, complex datasets.
  • Implementing methods to ensure data quality and replication of results.
  • Developing and drafting specific plans for data management and analysis.
  • Independently conducting appropriate data management and analysis.
  • Preparing and maintaining technical documentation of data management and analysis files.
  • Summarizing, interpreting, and presenting results in written, tabular and visual formats.
  • Assisting in the writing and reviewing of statistical methods in manuscripts and grant proposals.
  • Preparing annotated statistical code and logfiles for submission with manuscripts to journals.
  • Participating as a team member in discussions on data collection, management, and analysis.
Skills You Have

Example Code

Candidates will be asked to provide example code from a longitudinal analysis that involves merging and cleaning data, univariate analyses for a table on participant characteristics, modeling with multiple regression and/or survival, and creating figures such as a Kaplan Meier curve or spline

Required Qualifications*
  • Ability to draft and do data management and analysis plans based on study design.
  • Ability to solve problems with data management and analysis.
  • Working knowledge of concepts and methods in epidemiology and biostatistics.
  • Experience working with complex data structures and linkages between data sources.
  • Strong programming knowledge using high-level programming language
  • Proven ability to write clear and concise technical documentation, summaries of various methodologies, and descriptions of statistical results.
  • Excellent communication, both oral and written in the English language.
  • Ability to prioritize, organize, and efficiently work on multiple projects at the same time.
  • Flexibility and ability to work independently and collaboratively with multiple researchers.
  • Ability to be consistently and extremely detail-oriented.

Senior Level

  • Master's degree in statistics, biostatistics, epidemiology, computer science, information, or related field.
  • 3-5 years of experience using Stata or SAS in data management, statistical analysis, and computer programming.
  • Direct experience in managing and supporting major research projects using large administrative datasets, such as Medicare claims, and longitudinal data analysis.

Intermediate Level

  • Master's degree in statistics, biostatistics, epidemiology, computer science, information, or related field.
  • 1-3 years of experience using Stata or SAS for data management and analysis.
Desired Qualifications*
  • >=3 years of experience in data management, statistical analysis, and computer programming.
  • Direct experience in managing and supporting major research projects using large administrative datasets, such as Medicare claims, and longitudinal data analysis.
  • Proficiency in SAS Macro language
Underfill Statement

This position may be underfilled at a lower classification depending on the qualifications of the selected candidate.

Background Screening

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.

Application Deadline

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.

The University of Michigan is a non-discriminatory/affirmative action employer.

07/20/2019 ∙ share APPLY VIEW ALL JOBS