Senior Data Scientist, RWD Analytics

Tempus AI • Boston, MA

2d • $130,000 - $190,000

About The Position

Tempus is hiring a Senior Data Scientist for its RWD Analytics work. The role focuses on developing and validating clinical heuristics, profiling and monitoring real-world healthcare data, and ensuring data quality across pipelines. It also involves creating longitudinal patient cohorts for strategic initiatives and analysis requests, collaborating with clinical and technical teams on validation standards, and documenting data quality and clinical evaluation results.

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 such as YAML-configured checks, 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 explaining 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 data structures is highly preferred.
• Experience with visualization tools such as 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 adherence to schemas and value sets.
• Design complex inclusion and exclusion funnels and conduct large-scale longitudinal patient cohort pulls for strategic real-world data initiatives and analysis requests.
• Collaborate with clinical subject-matter experts, data labeling teams, machine learning 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