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).

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.

Originally posted on Himalayas