Clinical Data Visualization Engineer

Tempus; Chicago (IL); Hybrid; USD 70,000 - 90,000; Full time

Job summary

Tempus is seeking a Data Visualization Engineer to join the Next team in Chicago. You will translate clinical and enriched data into visually compelling dashboards for internal stakeholders, healthcare providers, and health system administrators at the point of care.

You will ensure data quality, perform targeted analyses, and empower teammates to build their own visualizations with robust data models and clear documentation.

Qualifications

• 3+ years of hands-on experience developing data visualizations.
• Strong experience with SQL and relational data.
• Deep understanding of Data Modeling patterns and best practices.
• Experience with Looker or other BI tools (Looker Studio, Tableau, Power BI).
• Excellent communication and presentation skills.
• Collaborating with cross-disciplinary teams of account managers, product managers and engineers.
• Write high-quality, well-documented code that is scalable and version-controlled (GitHub).
• Excellent time-management skills.

Responsibilities

• Ensure the quality, accuracy and timeliness of data products.
• Perform custom analyses to support account managers and clinical partners.
• Design, build, and maintain stand-alone data visualizations and dashboards for internal and external stakeholders.
• Empower colleagues to conduct their own data investigations by designing, creating, and maintaining data models and documentation.

Skills

Data visualization

SQL

Data modeling

BI tools (Looker/Tableau/Power BI)

Communication

Collaboration

Git / version control

Time management

Tools

Looker

Looker Studio

Tableau

Power BI

Job description

Tempus is seeking a Data Visualization Engineer to join the Next team in Chicago. You will translate clinical and enriched data into visually compelling dashboards for internal stakeholders, healthcare providers, and health system administrators at the point of care.

You will ensure data quality, perform targeted analyses, and empower teammates to build their own visualizations with robust data models and clear documentation.