Senior Data Scientist, RWD Analytics

Tempus AI • Chicago, IL

1d

About The Position

Tempus is hiring a Senior Data Scientist for its RWD Analytics work. The position focuses on developing and validating clinical heuristics, profiling and monitoring real-world healthcare data, ensuring data quality, and building longitudinal patient cohorts for strategic initiatives and analysis requests. The role collaborates with clinical subject-matter experts, data-labeling teams, machine-learning engineers, and data scientists to establish validation datasets and ground-truth standards. It also maintains documentation, configuration files, and metrics to support transparency and continuous improvement.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Clinical Informatics, or a related field.
• At least 4 years of experience in data science, clinical data analytics, or machine learning, focused on real-world healthcare data.
• Proficiency in Python and highly advanced SQL.
• 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.
• Experience with data-quality frameworks, automated checks (for example, using YAML configurations), and data-profiling tools.
• Experience with data-visualization tools to communicate data trends, evaluation metrics, and quality metrics.
• Strong problem-solving skills, attention to detail, and ability to independently manage complex data workflows and chunking operations.
• Strong communication skills, including the ability to explain technical and clinical concepts to technical and non-technical stakeholders.
• Experience working in a collaborative, cross-functional team environment.

Nice To Haves

• Deep familiarity with oncology data, including staging, biomarkers, radiotherapy, and lines of therapy, and with Electronic Health Record (EHR) data structures is highly preferred.
• Experience with matplotlib, seaborn, Plotly, or Tableau.

Responsibilities

• Design, implement, and formally validate heuristic rules and algorithms for derived clinical concepts using pipeline data.
• Maintain and expand Python-based data-profiling pipelines.
• Build, refactor, and execute data-quality checks to ensure schema and valueset adherence.
• Design inclusion and exclusion funnels and run large-scale longitudinal patient cohort pulls for strategic real-world data initiatives and analysis requests.
• Collaborate with clinical subject-matter experts, data-labeling teams, ML engineers, and data scientists to define validation datasets and ground-truth standards and finalize clinical heuristic rules.
• Develop and maintain documentation, configuration files, and metrics for data quality, profiling results, and clinical evaluations.

Benefits

• Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical benefits, and other benefits depending on the position.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior