Data Engineer II

The Office of Informatics and Information Technology (IIT) is looking for an outstanding candidate for a Data Engineer II position to manage and fulfill research data requests from principal investigators (PIs) in the Division of Transplantation in the Department of Surgery and other departments that use transplant clinical data for research projects. Databases the incumbent will use include the Transplant DataMart and STAR files from Organ Procurement and Transplant Network (OPTN) and databases from the Scientific Registry of Transplant Recipients (SRTR). The data engineer will lead monthly meetings with key stakeholders, triage data requests, pull data, and collaborate with other data teams, including the Statistical Analysis and Research Programming (STARP) team in the Department of Surgery. While working as part of the Clinical Research Data Service Team in IIT, the incumbent will have a close working relationship with the Chair of the Division of Transplantation. The successful candidate will have a solid work ethic and bring an enthusiastic and professional attitude to the workplace.

• 30% Prepares data sets for current and future analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources and may use technologies that support data at scale
• 15% Implements data analysis steps in collaboration with data scientists, statisticians, and/or other researchers and may use technologies that support data at scale
• 15% Organizes both data preparation and analysis steps into reproducible pipelines that can process similar data sets automatically
• 5% Selects appropriate technologies and optimizes pipelines for performance
• 20% Develops, constructs, tests, and maintains architectures for large-scale data management and analysis
• 15% Serves as an institutional subject matter expert and liaison to key internal and external stakeholders regarding automated data management and analysis at scale for research and represents the interests of large-scale data management and analysis for research

Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals.

The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world.

For more information on diversity and inclusion on campus, please visit: Diversity and Inclusion

Preferred
Bachelor's Degree

Required qualifications:
- Experience writing SQL code to extract and manipulate data from large relational databases
- Experience writing Python code to manipulate and analyze datasets
- Experience developing analytics dashboards
- Strong organizational, analytical, verbal and written communication skills, and interpersonal skills

Preferred:
- Certified in Epic Cogito Clinical Data Model
- Experience working with Transplant Data and workflows
- Experience with OPTN Organ Procurement and Transplant Network (OPTN) Data
- Experience Designing, Building & Maintaining Databases
- Experience with clinical vocabularies (ICD, LOINC, SNOMED, CPT, etc.)
- Experience with clinical research common data models (OMOP, i2b2, PCORNet)
- Experience working with web APIs
- Experience with FHIR and HL7 data feeds
- Knowledge of HIPAA and other regulations governing PHI
- Experience reviewing other team member's technical work and providing constructive feedback

Full Time: 100%

It is anticipated this position will be remote and requires work be performed at an offsite, non-campus work location. An on campus work location will be provided should a candidate prefer to work onsite.

Ongoing/Renewable

Minimum $80,000 ANNUAL (12 months)
Depending on Qualifications
Employees in this position can expect to receive benefits such as generous vacation, holidays, and sick leave; competitive insurances and savings accounts; retirement benefits.
Benefits information can be found at (https://hr.wisc.edu/benefits/).

University sponsorship is not available for this position, including transfers of sponsorship. The selected applicant will be responsible for ensuring their continuous eligibility to work in the United States (i.e. a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without the need of an employer sponsorship) on or before the effective date of appointment.

To apply for this position, please click on the "Apply Now" button. You will be asked to upload a current resume/CV and a cover letter briefly describing your qualifications and experience.

Cody Roekle
croekle@wisc.edu
608-263-7676
Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information.

Data Engineer II(RE065)

A53-MEDICAL SCHOOL/Informatics and IT

Academic Staff-Renewable

310814-AS