Data Curation and Research Reproducibility Specialist

at University of Michigan Library (view profile)
Published December 16, 2022
Location Ann Arbor, Michigan
Category Academic  
Job Type Full-time  Temporary/Term-Limited  
Apply Here https://careers.umich.edu/job_detail/227704/data-curation-and-research-reproducibility-specialist
Cover Letter Requirements Required
Education Requirements An advanced degree (Masters or PhD level) in a quantitative discipline. A degree or background in Library Science is helpful, but not required
Minimum Compensation in Local Currency $62,000 (Associate Librarian), $71,000 (Senior Associate Librarian)
Hourly or Salary? Salary

Description

NOTE: This is a three year term appointment

In this position, you will engage researchers to develop an understanding of their needs for the reproducibility of their work, and then build tools and services to address these needs. You will curate research data submitted to the Deep Blue Data repository with an emphasis on supporting reproducibility and improving data quality. This is a joint position between the Library and the Michigan Institute for Data Science (MIDAS).

We are seeking individuals with experience engaging in data-intensive research, including managing or analyzing data in at least one field of academic research, such as healthcare , engineering or social science. We are also interested in applicants who are experienced in at least one programming language to construct data-intensive research workflows, which could include data ingest / clean-up, modeling, visualization or analysis. A degree in Library Science is helpful, but not required for this position.

For both positions: Appointment is anticipated at the Associate Librarian or Senior Associate Librarian rank. The salary range for this position is $62,000 to $70,000 for the Associate Librarian rank and $71,000 to $80,000 for the Senior Associate Librarian rank.

Applications will be accepted until January 15, 2023.

For questions about either position, please reach out to Jake Carlson (jakecar@umich.edu) or Joanna Thielen (jethiele@umich.edu).