Research - Laboratory/Non-Laboratory, Staff/Administrative
Location: Hyde Park Campus
1) The Research Computing Specialist will join a computational team and data science team that is developing data flow and data integration systems that incorporate fine-grained biological and behavioral structure and network variables to inform research decision making for health policy.
2) Scientific results from the modeling studies are published in leading peer-reviewed journals and disseminated across governmental and community-based organizations.
3) The position is under the direct supervision of Mainza Durrell and Phil Schumm MA, John Schneider, M.D. M.P.H.
4) This opportunity provides the potential for significant professional growth by being part of an experienced team that has developed large research data systems and analyses.
5) Additionally, the successful candidate will have access to UChicago and Argonne high-performance computing resources.
6) Design, implement and maintain systems for ingesting, storing and tracking research data from multiple sources.
7) Create tools and workflows to generate versioned data products for analysis and distribution.
8) Create tools and workflows to facilitate data curation and subsequent submission to a centralized data repository.
9) Design and implement strategies for migrating data between projects and systems.
This position is grant funded.
1) Demonstrated Python skills (i.e., being fully proficient in Python 3 and use of its standard libraries), including developing tools and pipelines to manipulate data and web-based applications and APIs.
2) Theoretical and practical knowledge of both relational and NoSQL databases.
3) Excellent writing skills, including both technical documentation and user guides.
4) Use of high-performance and cloud computing for storage and analysis of big data.
5) Strong Git skills, including advanced branching workflows and methods for storing large files (e.g., Git Large File Storage (LFS), Data Version Control (DVC), etc.).
6) Working knowledge of either R or Stata.
7) Basic competency in at least one of the C-family of languages (e.g., C/C++, Java, etc.).
8) Strong Unix/Linux skills.
9) Willingness to attend necessary orientation and trainings through Chicago.
10) Strong interpersonal skills and the ability to work both independently and as part of a team.
1)Masterâ™s or higher in Computer Science
1) Working in a research environment, especially academic
2) Use of Python-based packages and platforms for analytic computing such as NumPy, Pandas and Dask
3) Working with medical record data and/or health research data including clinical trials and population-based studies of health; working with PHI
4) Use of REDCap for data capture; developing against its API
5) Using Continuous Integration/Continuous Delivery (CI/CD) in GitLab or GitHub
6) Use of PostgreSQL database
7) Open-source development
2) Cover letter
Note: When applying, all required documents MUST be uploaded under the Resume/CV section of the application.
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Staff Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via the Applicant Inquiry Form.
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Internal Number: JR08225
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