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Senior Data Modeler I

Remote • Posted 3 days ago • Updated 24 minutes ago

Full Time

Remote

Fitment

Dice Job Match Score™

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Job Details

Skills

Health Care
Artificial Intelligence
Real-time
Collaboration
Quality Assurance
Process Improvement
Data Modeling
Workflow
Research
ELT
Apache Velocity
Data Warehouse
ICD-9
Next Generation Sequencing
Data Analysis
Python
R
SAP BASIS

Summary

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

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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 80183603
Position Id: a4612dc0947d897850a2b3c15dbf6647
Posted 3 days ago

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