Data Scientist II

Universities of Wisconsin•Madison, WI

2d•Remote

About The Position

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.

Requirements

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)

Nice To Haves

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

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