Data Visualization Engineer
Tempus AI
Summary
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.
Job description
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)
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
- Enjoy collaborating with a cross disciplinary team of account managers, product managers and engineers, and comfortable interfacing with other teams
- 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)
Bonus Points
- 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)
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
- Enjoy collaborating with a cross disciplinary team of account managers, product managers and engineers, and comfortable interfacing with other teams
- 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)
Benefits
- Incentive compensation
- Restricted stock units
- Medical benefits
Company overview
Tempus AI, Inc. (NASDAQ: TEM) is a pioneering healthcare technology company founded in 2015 by Eric Lefkofsky in Chicago, Illinois. The company was established after Lefkofsky's wife was diagnosed with breast cancer, driving his mission to revolutionize cancer care through technology and artificial intelligence. Tempus specializes in applying AI to advance precision medicine by collecting and analyzing vast amounts of molecular, clinical, and genomic data. The company operates across multiple therapeutic areas including oncology, cardiology, radiology, neurology, psychiatry, and dermatology. Tempus provides comprehensive diagnostic services including next-generation sequencing (NGS), PCR profiling, and molecular pathology testing. Its AI-powered platform enables physicians to make real-time, data-driven decisions for personalized patient care and targeted therapies. The company went public in June 2024 and has expanded globally with operations in multiple countries. Tempus continues to innovate at the intersection of healthcare and artificial intelligence, aiming to ensure patients receive the right treatments at the right time for improved health outcomes.