Bachelor's or Master's degree in a relevant field such as Computer Science or Clinical Informatics.
4+ years of experience in data science or clinical data analytics, particularly with real-world healthcare data.
Proficiency in Python and advanced SQL, with experience in complex relational databases and ETL pipelines.
Strong understanding of evaluation strategies and statistical analysis for AI models and clinical heuristics.
Experience with data quality frameworks and automated checks, including YAML configurations.
Familiarity with oncology data and Electronic Health Record (EHR) data structures is preferred.
Experience with data visualization tools to communicate trends and metrics.
Responsibilities
Design and validate heuristic rules and algorithms for clinical concepts using pipeline data.
Maintain and expand Python-based data profiling pipelines.
Build and execute comprehensive data quality checks to ensure schema adherence.
Design inclusion/exclusion funnels for large-scale longitudinal patient cohort pulls.
Collaborate with clinical SMEs and data teams to define validation datasets and finalize heuristic rules.
Develop and maintain documentation and metrics for data quality and profiling results.
Benefits
Full range of benefits including medical and other health-related options.
Incentive compensation and restricted stock units may be offered depending on the position.
Full Job Description
Senior Data Scientist, RWD Analytics
What you'll do:
Heuristic Development: Design, implement, and formally 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 strategic real-world data initiatives and specific analysis requests.
Cross-Functional Collaboration: Collaborate with clinical SMEs, data labeling teams, ML engineers, and data scientists to define validation datasets, ground truth standards, and finalize clinical heuristic rules.
Documentation & Reporting: Develop and maintain documentation, configuration files, and metrics for data quality, profiling results, and clinical evaluations to support transparency and continuous improvement.
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.
Experience with data quality frameworks, building automated checks (e.g., via YAML configurations), and data profiling tools.
Deep familiarity with oncology data (e.g., staging, biomarkers, radiotherapy, lines of therapy) and Electronic Health Record (EHR) data structures is highly preferred.
Experience with data visualization tools (e.g., matplotlib, seaborn, Plotly, Tableau) to communicate data trends, evaluation metrics, and quality metrics.
Excellent problem-solving skills, extreme attention to detail, and the ability to independently manage complex data workflows and chunking operations.
Strong communication skills, with the ability to explain complex technical and clinical concepts to diverse stakeholders (technical and non-technical).
Experience working in a collaborative, cross-functional team environment.
CHI: $130,000-$175,000
NYC/SF: $140,000-$190,000
The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.
About Tempus
Tempus is a technology company that has built an operating system to battle cancer. The company enables physicians to deliver personalized cancer care for patients through its interactive analytical and machine learning platform. Tempus provides genomic sequencing services and analyzes molecular and therapeutic data to empower physicians to make real-time, data-driven decisions. The company also offers research services to enable discovery of new therapeutic targets and clinical services that support clinical trial design and monitoring. Tempus was founded in 2015 by Eric Lefkofsky and has raised over $8 billion in funding to date.
