Senior Data Scientist, Real-World Healthcare Analytics

Tempus AI; Chicago (IL); Hybrid; USD 130,000 - 190,000; Full time

Benefits offered by this job

Competitive salary

Comprehensive benefits

Remote-friendly options

Stock options

Job summary

Tempus AI in the United States (Illinois focus) seeks a Senior Data Scientist for RWD Analytics to design heuristic rules, build Python-based profiling pipelines, and enforce data quality across large real‑world datasets.

You will collaborate with clinical SMEs, data labeling teams, ML engineers, and data scientists to define validation datasets, set ground truth standards, and produce documentation and metrics.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Clinical Informatics, or a related field.
• 4+ years of experience in data science, clinical data analytics, or machine learning, with a focus on real-world healthcare data (RWD).
• Proficiency in Python and highly advanced SQL, with experience navigating complex relational databases, clinical data models, and ETL pipelines.
• Strong command of evaluation strategies and statistical analysis for AI models, NLP outputs, or clinical heuristics.

Responsibilities

• Heuristic Development: Design, implement, and validate heuristic rules and algorithms for derived clinical concepts using pipeline data.
• Data Profiling & Monitoring: Maintain and expand Python-based profiling pipelines.
• Data Quality Assurance: Build, refactor, and execute comprehensive data quality checks, ensuring robust schema and valueset adherence.
• Longitudinal Patient Cohorting: Design complex inclusion/exclusion funnels and execute large-scale longitudinal patient cohort pulls for real-world data initiatives.
• Cross-Functional Collaboration: Collaborate with clinical SMEs, data labeling teams, ML engineers, and data scientists to define validation datasets and ground truth standards.
• Documentation & Reporting: Develop and maintain documentation, configuration files, and metrics for data quality, profiling results, and clinical evaluations to support transparency and continuous improvement.

Skills

Python

SQL

RWD analytics

Data profiling

ETL pipelines

Statistical analysis

NLP

Data visualization

Communication

Cross-functional collaboration

Education

Bachelor's or Master's in CS/Data Science/Statistics

Tools

Tableau

Plotly

Matplotlib

Seaborn

SQL databases

Job description

Tempus AI in the United States (Illinois focus) seeks a Senior Data Scientist for RWD Analytics to design heuristic rules, build Python-based profiling pipelines, and enforce data quality across large real‑world datasets.

You will collaborate with clinical SMEs, data labeling teams, ML engineers, and data scientists to define validation datasets, set ground truth standards, and produce documentation and metrics.