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Tempus AI

Senior Data Modeler I

Reposted An Hour Ago
Be an Early Applicant
Hybrid
Chicago, IL
90K-130K Annually
Senior level
Hybrid
Chicago, IL
90K-130K Annually
Senior level
The Senior Data Modeler I collaborates with teams to develop clinical data models, ensuring data integration and quality while maintaining knowledge bases for clinical concepts and monitoring performance.
The summary above was generated by AI

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).

#LI-BL1

$90,000 - $130,000

The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, 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.

Additionally, for remote roles open to individuals in unincorporated Los Angeles – including remote roles- Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

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. 

Top Skills

Dbt
Icd-10
Icd-9
Loinc
Python
R
Rxnorm
Snomed Ct

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