Senior Data Modeler

About the Role

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. 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.

Responsibilities

• 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.

Requirements

• Domain knowledge in healthcare and informatics data.
• Experience and knowledge of different data modeling techniques (e.g., 3NF, dimensional (star schema), and data vault).
• Applied exceptional SQL skills in an enterprise data warehouse environment.
• Knowledge of ETL/ELT and BI architectures, concepts, and frameworks, and experience implementing them.
• Understanding of the long-term impacts of key decisions between database technologies (relational, MPP, NoSQL) and experience architecting solutions across multiple technologies.
• Experience with data modeling tools like Erwin, Vertabelo, or Lucidchart.

Nice to Have

• 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.

Pay

CHI: $110,000–$160,000
NYC/Boston: $120,000–$170,000
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.

Benefits

Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical, and other benefits depending on the position.