University of Wisconsin Madison
Job Summary
The Office of Informatics and Information Technology (IIT) is seeking an outstanding candidate for a Data Engineer II position to manage and fulfill research data needs for a grant funded project. The responsibilities of the incumbent will include gathering requirements, developing code, retrieving data from Epic's reporting databases, transforming data, and maintaining documentation. The ideal candidate will demonstrate a strong work ethic and a professional, enthusiastic attitude. This role is contingent upon external grant funding and is expected to last for two years.
We are currently seeking to fill two open positions: one with a primary focus on radiological image analysis and the other centered on data science. Each role offers unique opportunities to contribute to innovative research and development within our team.
Key Job Responsibilities
Implement data analysis steps in collaboration with data scientists, statisticians, and/or other researchers and may use technologies that support data at scale.
Select appropriate technologies and optimize pipelines for performance.
Serve as an institutional subject matter expert and liaison to key internal and external stakeholders regarding automated data management and analysis at scale for research, representing the interests of large‑scale data management and analysis for research.
Organize both data preparation and analysis steps into reproducible pipelines that can process similar data sets automatically.
Prepare 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.
Develop, construct, test, and maintain architectures for large‑scale data management and analysis.
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, written communication skills, and interpersonal skills.
Experience working with Electronic Medical Records (EMR)/Electronic Health Records (EHR).
Preferred Qualifications
Certified in Epic Cogito / Clarity / Caboodle.
Data science or biostatistics experience.
Experience working with medical images and associated reports.
Experience designing, building, and 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 members' technical work and providing constructive feedback.
Compensation & Benefits The starting salary for the position is $80,000; negotiable based on experience and qualifications.
Employees in this position can expect generous vacation, holidays, and sick leave; competitive insurances and savings accounts; retirement benefits. For more information, refer to the campus benefits webpage and the SMPH Academic Staff Benefits Flyer.
How to Apply For the best experience completing your application, we recommend using
Chrome
or
Firefox
as your web browser.
To apply for this position, select either
I am a current employee
or
I am not a current employee
under
Apply Now . You will then be prompted to upload your application materials.
Important:
The application has only one attachment field. Upload all required documents in that field, either as a single combined file or as multiple files in the same upload area.
Cover letter
Resume
Your cover letter should address how your training and experience align with the required and preferred qualifications listed above. Application reviewers will rely on these written materials to determine which applicants move forward in the process. References will be requested from final candidates. All applicants will be notified once the search concludes and a candidate is selected.
Contact Information Cody Roekle, croekle@wisc.edu 608‑263‑7676
Relay Access (WTRS): 7‑1‑1. See RELAY_SERVICE for further information.
Institutional Statement on Diversity 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.
Equal Opportunity Employer Statement The University of Wisconsin‑Madison is an Equal Opportunity Employer.
Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, national origin, age, pregnancy, disability, or status as a protected veteran and other bases as defined by federal regulations and UW System policies. We promote excellence by acknowledging skills and expertise from all backgrounds and encourage all qualified individuals to apply. For more information regarding applicant and employee rights and to view federal and state required postings, visit the Human Resources Workplace Poster website.
To request a disability or pregnancy‑related accommodation for any step in the hiring process (e.g., application, interview, pre‑employment testing, etc.), please contact the Divisional Disability Representative (DDR) in the division you are applying to. Please make your request as soon as possible to help the university respond most effectively to you.
Employment may require a criminal background check. It may also require your references to answer questions regarding misconduct, including sexual violence and sexual harassment.
#J-18808-Ljbffr
We are currently seeking to fill two open positions: one with a primary focus on radiological image analysis and the other centered on data science. Each role offers unique opportunities to contribute to innovative research and development within our team.
Key Job Responsibilities
Implement data analysis steps in collaboration with data scientists, statisticians, and/or other researchers and may use technologies that support data at scale.
Select appropriate technologies and optimize pipelines for performance.
Serve as an institutional subject matter expert and liaison to key internal and external stakeholders regarding automated data management and analysis at scale for research, representing the interests of large‑scale data management and analysis for research.
Organize both data preparation and analysis steps into reproducible pipelines that can process similar data sets automatically.
Prepare 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.
Develop, construct, test, and maintain architectures for large‑scale data management and analysis.
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, written communication skills, and interpersonal skills.
Experience working with Electronic Medical Records (EMR)/Electronic Health Records (EHR).
Preferred Qualifications
Certified in Epic Cogito / Clarity / Caboodle.
Data science or biostatistics experience.
Experience working with medical images and associated reports.
Experience designing, building, and 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 members' technical work and providing constructive feedback.
Compensation & Benefits The starting salary for the position is $80,000; negotiable based on experience and qualifications.
Employees in this position can expect generous vacation, holidays, and sick leave; competitive insurances and savings accounts; retirement benefits. For more information, refer to the campus benefits webpage and the SMPH Academic Staff Benefits Flyer.
How to Apply For the best experience completing your application, we recommend using
Chrome
or
Firefox
as your web browser.
To apply for this position, select either
I am a current employee
or
I am not a current employee
under
Apply Now . You will then be prompted to upload your application materials.
Important:
The application has only one attachment field. Upload all required documents in that field, either as a single combined file or as multiple files in the same upload area.
Cover letter
Resume
Your cover letter should address how your training and experience align with the required and preferred qualifications listed above. Application reviewers will rely on these written materials to determine which applicants move forward in the process. References will be requested from final candidates. All applicants will be notified once the search concludes and a candidate is selected.
Contact Information Cody Roekle, croekle@wisc.edu 608‑263‑7676
Relay Access (WTRS): 7‑1‑1. See RELAY_SERVICE for further information.
Institutional Statement on Diversity 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.
Equal Opportunity Employer Statement The University of Wisconsin‑Madison is an Equal Opportunity Employer.
Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, national origin, age, pregnancy, disability, or status as a protected veteran and other bases as defined by federal regulations and UW System policies. We promote excellence by acknowledging skills and expertise from all backgrounds and encourage all qualified individuals to apply. For more information regarding applicant and employee rights and to view federal and state required postings, visit the Human Resources Workplace Poster website.
To request a disability or pregnancy‑related accommodation for any step in the hiring process (e.g., application, interview, pre‑employment testing, etc.), please contact the Divisional Disability Representative (DDR) in the division you are applying to. Please make your request as soon as possible to help the university respond most effectively to you.
Employment may require a criminal background check. It may also require your references to answer questions regarding misconduct, including sexual violence and sexual harassment.
#J-18808-Ljbffr