Data Scientist II

Data Scientist II University of Wisconsin-Madison - 4.4 Madison, WI Job Details Full-time $80,000 a year 9 hours ago Benefits Retirement plan Qualifications Dashboard development Writing skills

SQL EMR/EHR

Data visualization Python Database software proficiency Full Job Description Current employees: if you are currently employed at any of the universities of wisconsin, log in to workday to apply through the internal application process.

Job category:

Academic Staff Employment type: Regular Job profile: Data Scientist II Job summary: The Office of Informatics and Information Technology (IIT) is seeking an outstanding candidate for a Data Scientist II position to manage and fulfill research data needs for a grant funded project. The responsibilities of the incumbent will include collaborating with faculty, staff, and research partners to support the design and execution of research studies using robust and scientifically sound data strategies. This role will involve contributing to research design, extracting and integrating data from sources such as electronic health records, transforming and curating data to create high‑quality, research‑ready datasets, and supporting analytic efforts aligned with study objectives. The incumbent will also be responsible for maintaining clear documentation of data sources, methodologies, and assumptions to support transparency, reproducibility, and effective collaboration. This role offers unique opportunities to contribute to innovative research and development within our team. It is anticipated that this position will be remote and requires work be performed at an offsite, non-campus work location.

Key job responsibilities:

Documents approaches to address research questions and contributes to the establishment of reproducible research methodologies and analysis workflows Composes and assembles reproducible workflows and reports to clearly articulate patterns to researchers and/or administrators Independently identifies and implements appropriate data science techniques to find data patterns and answer research questions chosen by the lead researcher including data visualization, statistical analysis, machine learning, and data mining Organizes and automates project steps for data preparation and analysis Prepares data sets for analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources

Department:

School of Medicine and Public Health, Office of Informatics and Information Technology, Research Data Services. This position is within the School of Medicine and Public Health's Office of Informatics and Information Technology (IIT). IIT is a multidisciplinary team of data scientists, engineers, developers, and IT support staff. We offer a variety of Informatics and IT services to departments and research staff within the School of Medicine and Public Health and beyond to support the conduct of high-quality clinical and translational research.

Informatics:

We provide innovative solutions and training for a broad spectrum of clinical and translational research utilizing real-world data to facilitate rapid translation of research findings into clinical practice, with an emphasis on precision medicine, healthcare delivery, and population health.

Technology Solutions:

We provide technology solutions to the School of Medicine and Public Health including cybersecurity, educational technology, and IT support. This role is part of the Clinical Research Data Services (CRDS) team within

SMPH-IIT.

The CRDS team plays a critical role in advancing clinical research across SMPH by providing comprehensive data and computational support to investigators and research teams. CRDS team members provide support with research design, data extractions, data transformation and compute needs. CRDS is dedicated to enabling high-quality, data-driven research. The CRDS team collaborates with faculty, staff, and research partners to ensure studies are designed and executed using robust data strategies. Services include support for research design, data extraction and integration from sources such as electronic health records, data transformation and analysis to create research ready datasets. This position and the CRDS team offer the opportunity to work in a collaborative, interdisciplinary environment that values innovation, precision, and impact in clinical research.

Compensation:

The starting salary for the position is $80,000; but is negotiable based on experience and 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.

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 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

Education:

Bachelor's degree preferred 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 . You will then be prompted to upload your application materials.

Important:

The application has only one attachment field. Upload the following documents in that field, either as a single combined file or as multiple files in the same upload area. Failure to submit the required documents will result in no longer being considered for the position. Cover letter (required) Resume Your cover letter should address how your training and experience aligns 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 University sponsorship is not available for this position, including transfers of sponsorship and TN visas. 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. This position is an ongoing position that will require continuous work eligibility. If you are selected for this position you must provide proof of work authorization and eligibility to work.

Contact information:

Cody Roekle, 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. 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. 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. The University of Wisconsin System will not reveal the identities of applicants who request confidentiality in writing, except that the identity of the successful candidate will be released. See Wis. Stat. sec. 19.36(7). The Annual Security and Fire Safety Report contains current campus safety and disciplinary policies, crime statistics for the previous 3 calendar years, and on-campus student housing fire safety policies and fire statistics for the previous 3 calendar years. UW-Madison will provide a paper copy upon request; please contact the University of Wisconsin Police Department.