Senior Data Modeler I

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.

Responsibilities:

• Collaborate with cross-functional teams including medical oncologists, research scientists, and engineers to develop and maintain clinical data models.

• Translate customer needs and product requests into key concept definitions and business logic for complex models.

• Facilitate integration of data model into workflows, applications, and data deliveries.

• Structure and normalize data from a variety of sources, including Tempus curated data, EHR integrations, and lab systems.

• Develop and maintain knowledge bases for clinical concepts.

• Create and execute validation plans in conjunction with SMEs for new models and disease types.

• Proactively monitor and support quality assurance and process improvement initiatives.

• Monitor performance of production processes and recommend areas for improvement.

Qualifications:

• 5+ years of oncology data modeling experience.

• Experience working with real world data from various sources (e.g., curation workflows, EHRs, lab systems, claims, research datasets).

• Experience working with modern ELT tools such as DBT to maintain high volume, high velocity data warehouses

• Experience working with standard medical terminologies (e.g., SNOMED CT, RxNorm, LOINC, ICD-9/10).

Nice-to-haves:

• Clinical background (MD/DO, PharmD, PA, NP, RN, etc.).

• Familiarity with next-generation sequencing data. 

• Experience with real world data analysis in Python or R.

• Participation in professional organizations (e.g., OHDSI, AMIA).

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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.