Senior Data Modeler at Tempus

Chicago, Illinois, United States

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, BiotechnologyIndustries

Requirements

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)

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

Skills

Data Modeling

Clinical Data Models

EHR Integration

Data Normalization

Knowledge Bases

Data Validation

Business Logic

Data Pipelines

Tempus

AI-driven healthcare data analysis platform

About Tempus

Tempus focuses on enhancing patient outcomes through the use of data and artificial intelligence in healthcare. The company offers a platform that analyzes medical data to provide insights for physicians, helping them make better treatment decisions. This platform also aids pharmaceutical and biotech companies in drug development by identifying new targets and assessing treatment effectiveness. For patients, Tempus identifies personalized therapy options, particularly in cancer care, where their research has shown increased opportunities for tailored treatments. They have developed a pan-cancer organoid platform and a liquid biopsy assay for profiling circulating tumor DNA. Tempus generates revenue by charging healthcare providers and companies for access to their platform and insights, setting them apart from competitors by their focus on personalized medicine and extensive cancer research.

Chicago, IllinoisHeadquarters

2015Year Founded

$894.9MTotal Funding

IPOCompany Stage

AI & Machine Learning, Biotechnology, HealthcareIndustries

1,001-5,000Employees

Benefits

Relocation Assistance

Company Equity

Performance Bonus

Risks

Competition from partners like Genialis may lead to conflicts of interest.

Ambry Genetics acquisition could pose financial risks if synergies aren't realized.

Technical challenges may arise in integration with Flatiron's OncoEMR platform.

Differentiation

Tempus uses AI to analyze clinical and molecular data for precision medicine.

Their platform aids in personalized treatment decisions for cancer patients.

Tempus collaborates with biotech firms to enhance drug development using real-world data.

Upsides

Increased AI adoption in healthcare boosts Tempus' partnerships and collaborations.

Acquisition of Ambry Genetics expands Tempus' genetic testing capabilities.

Integration with Flatiron's OncoEMR enhances precision in cancer treatment plans.

Land your dream remote job 3x faster with AI

Try Jobo Free