How to Apply
A cover letter is required for consideration for this position and should be attached as the first page of your resume/CV. The cover letter should address your specific interest in the position and outline skills and experience that directly relate to this position.
To be considered for this position, the applicant must have met or will have met all the required qualifications prior to the start date of employment. Applicants selected for an interview will be asked to prepare responses to a small set of pre-interview questions to assess basic technical knowledge and critical thinking skills.
Who We Are
An exciting opportunity has been created for a data analyst/programmer to join the Population, Neurodevelopment and Genetics (PNG) Program at the Survey Research Center (SRC) within the University of Michigan?s Institute for Social Research (ISR). The PNG Program currently consists of a growing number of scholars with funded research projects that link many different disciplinary perspectives, including developmental and clinical psychology, genetics, sociology, neuroscience, demography, public health, and education. This position will be directly supervised by Dr. Erin Ware and co-supervised by Dr. Kelly Bakulski in the School of Public Health. For more details, please see pngprogram.com.
We are seeking a full-time data analyst/programmer who will primarily work on several NIH funded projects. The successful candidate will support high-dimensional data analyses to investigate risk of neurological disease, contribute to scientific papers and presentations, and assist collaborators with their projects. The research group analyzes data from human population-based longitudinal cohorts.
Adapt, perform, visualize, and interpret data analyses for epidemiological investigations in human population studies. Write and/or take given code and adapt to relevant projects, and perform data analyses using typical statistical methods at the population level including visualizing results and interpreting findings. Use R programming/statistical analysis for overall epigenetic analyses in human population studies including but not limited to data management, regressions, epidemiological model building, and preparation of tables/figures.
Perform regular quality control and maintenance of datasets, including joining files, recoding variables, and checking for/resolving errors. Annotate data management and analysis steps for full transparency and reproducibility.
Review literature to stay current on analytic best practices. Draft methods and results sections for manuscripts. Collaborate in the development of presentations and posters for conferences and workshops.
Consult with consortium members, collaborators, and team members to prepare and implement research plans and review code and results.
- Bachelor's degree in epidemiology, biostatistics, statistical genetics, bioinformatics, or related field
- 1-3 years of related job experience
- Programming experience in R or Rmarkdown
- Familiarity with human population data structures and/or genetic data structures
- Relevant experience with the following:
- Ability to decipher error messages and troubleshoot as part of a team. Willingness to review code.
- Ability to summarize, interpret, and present results in written, tabular, and visual formats
- Motivated and comfortable working both independently and as part of a team
- Eagerness to learn new tasks and skills
- Strong communication skills (verbal and written) and documentation skills
- Master's degree in public health or related field
- Experience with genetic, epigenetic, or environmental analysis of large human health data
- Working knowledge of Unix/Linux file systems and environment. Familiarity with git or plink software.
This position will be on-site at the University of Michigan offices in Ann Arbor, with flexible scheduling and remote opportunities made available within our overall Center policies. If relocation is required, we will allow for reasonable time and flexibility to make necessary arrangements.
The Institute for Social Research at the University of Michigan seeks to recruit and retain a diverse workforce as a reflection of our commitment to serve the diverse people of Michigan, to maintain the excellence of the university, and to ground our research in varied disciplines, perspectives, and ways of knowing and learning.
The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third-party administrator to conduct background checks. Background checks are performed in compliance with the Fair Credit Reporting Act.
U-M EEO/AA Statement
The University of Michigan is an equal opportunity/affirmative action employer.