Data Visualization Engineer

Tempus AI•Chicago, IL

19h•$70,000 - $90,000•Hybrid

About The Position

Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time. At Tempus, products are owned and developed by small, autonomous teams composed of developers, designers, scientists, clinicians, and product managers. You and your team set the goals, build the software, deploy the code, and contribute to a growing software platform that will make a lasting impact in the field of healthcare research and treatment. Tempus builds rich longitudinal datasets which enable research and product development. Our data and reporting infrastructure – using BigQuery (Google Cloud Platform) and Looker – allows product teams to deliver advanced insights with confidence, and at scale. As a Data Visualization Engineer on the Tempus Next team, you will work on solutions to synthesize clinical and enriched data from the Next product, which identifies patients with gaps in their clinical care. You will translate these into visually compelling dashboards for internal stakeholders, healthcare providers, and health system administrators at the point of care.

Requirements

3 or more 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 working with Looker or other Business Intelligence tools (e.g., Looker Studio, Tableau, Power BI)
Excellent communication and presentation skills
You enjoy collaborating with a cross disciplinary team of account managers, product managers and engineers, and are comfortable interfacing with other teams
You write high quality, well-documented code that is scalable, version-controlled (GitHub) and easy to use by other team members.
Excellent time-management skills (e.g., accurately estimating time to complete tasks, working with stakeholders to set deadlines and priorities)

Nice To Haves

Experience working with clinical or healthcare data (especially if related to Cardiology or Oncology)
Experience working with dbt
Experience developing software in Python/R, Javascript (D3.js), HTML, CSS
Experience working with APIs and API clients
Experience working with cloud service providers like Google Cloud Platform (GCP), Amazon Web Services (AWS), or Microsoft Azure
Experience with Infrastructure as Code (IaC) tools (e,g., Terraform)
Experience with Agile development methodologies (e.g., JIRA/Trello, RACI)

Responsibilities

Ensuring the quality, accuracy and timeliness of data products
Performing custom analyses to support account managers and clinical partners (e.g., identify patients that meet clinical trial inclusion/exclusion criteria)
Designing, building, and maintaining stand-alone data visualizations and dashboards for both internal and external stakeholders
Empowering account and product managers to conduct their own data investigations, and build their own visualizations, by designing, creating, and maintaining data models, and writing supporting documentation (e.g., entity relationship diagrams, data dictionaries, data/dashboard inventories)