Job Description
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.
Tempus is executing on the mission to create the world’s largest integrated dataset of multimodal healthcare and clinical data. At Tempus products are owned and developed by small autonomous teams composed of developers designers data 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 cardiovascular research and treatment.
Tempus builds software as nimble as our teams. Our modern tech stack - Python dbt and BigQuery on GCP - allows our teams to iterate rapidly and lead our industry in innovation. Our decentralized microservice architecture and emphasis on automation allow us to deliver advanced solutions with confidence and at scale.
What You’ll Do
Manage an enterprise data model in collaboration with clinicians data scientists engineers product managers and operators to integrate clinical data from source systems in multiple complex domains (clinical records EHR data ECG data radiology et al.).
Author and maintain entity-relationship diagrams data dictionaries API specs and data translation documentation at multiple levels of abstraction (conceptual logical physical) and across multiple data store technologies (transactional analytical).
Implement solutions to transform source data to a common data model
Collaborate with clinicians and data scientists to implement and validate feature definitions for clinical endpoints aligned with modeling priorities.
Implement solutions to proactively monitor data quality with traceability to source systems.
Evaluate completeness of source system data models and data by profiling partner data.
Advocate and educate engineering team members on data modeling rules standards and best practices.
Why we’re looking for you:
You have domain knowledge in healthcare and informatics data.
You have experience and knowledge of different data modeling techniques (e.g. 3NF dimensional (star schema) and data vault).
You have applied exceptional SQL skills in an enterprise data warehouse environment.
You have knowledge of ETL/ELT and BI architectures concepts and frameworks and experience implementing them.
You understand and can clearly articulate the long-term impacts of key decisions between database technologies (relational MPP NoSQL) and have experience architecting solutions across multiple technologies.
You have experience with data modeling tools like Erwin Vertabelo or Lucidchart.
Bonus points for:
Experience with GCP architecture particularly with BigQuery
Experience working with clinical and cardiovascular (echo cath ECG) data
Experience with Epic tables
Experience with HL7 data
Experience writing and debugging Python
Experience working with dbt
Implementing master reference or metadata management solutions
CHI: $110000-$160000
NYC/Boston: $120000-$170000
The expected salary range above is applicable if the role is performed from Illinois and may vary for other locations (California Colorado New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits which may include incentive compensation restricted stock units medical and other benefits depending on the position.
We are an equal opportunity employer. We do not discriminate on the basis of race religion color national origin gender sexual orientation age marital status veteran status or disability status.
Skills Required
- Domain knowledge in healthcare and informatics data
- Experience with data modeling techniques (3NF dimensional/star schema Data Vault)
- Exceptional SQL skills in an enterprise data warehouse environment
- Knowledge of ETL/ELT and BI architectures and implementation experience
- Understanding of database technology trade-offs (relational MPP NoSQL) and cross-technology architecture experience
- Experience with data modeling tools (Erwin Vertabelo Lucidchart)
What the Team is Saying











Tempus AI Compensation & Benefits Highlights
- Healthcare Strength—The package includes medical dental vision life and disability coverage FSA/HSA options mental health/EAP and pet insurance. Wellness programs gym discounts and commuter benefits complement the core coverage.
- Parental & Family Support—Paid parental leave and an onsite mother’s room are explicitly highlighted alongside family medical leave. These offerings extend support for new parents beyond standard medical benefits.
- Wellbeing & Lifestyle Benefits—On‑site cafeteria meals stocked snacks and an on‑site barista in some offices enhance daily convenience. Hybrid/remote options and flexible schedules add meaningful lifestyle flexibility.
Tempus AI Insights
What We Do
We bring together one of the world’s largest libraries of multimodal clinical and molecular data with a robust suite of AI tools to help physicians personalize care in real time connect patients with therapies and clinical trials and enable partners to accelerate discovery and development of new treatments. With ~8 million de-identified research records and 350+ petabytes of data Tempus partners with more than half of U.S. oncologists and the majority of the top 20 global pharma companies. Our teams are pioneering work across oncology neurology psychiatry cardiology and beyond—transforming how care is delivered and therapies are developed. At Tempus every role contributes to our mission: to help each patient benefit from the experiences of those who came before. For more information visit tempus.com.
Why Work With Us
We’re looking for people who can change the world. People who question the status quo and refuse to shy away from tough problems. For builders who are never done building and the learners who are never done learning. Passionate individuals with undying curiosity who want to take on one of the greatest challenges humanity has ever faced—head on.
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Tempus AI Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Most of the team follows a hybrid policy with some roles allowing for a fully remote arrangement and some roles being onsite only.











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