Senior Data Scientist, RWD Analytics

Tempus AI; New York (NY); Remote; USD 130,000 - 190,000; Full time

Benefits offered by this job

Incentive compensation

Restricted stock units

Medical benefits

Job summary

Tempus AI in the United States is seeking a Senior Data Scientist for Real-World Data (RWD) analytics. You will develop heuristic rules, expand Python profiling, and implement robust data quality checks on complex clinical datasets.

You will design longitudinal cohort pulls, collaborate with clinicians and ML engineers, and document outcomes to support transparent data-driven decisions in precision medicine.

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 for derived clinical concepts using pipeline data.
• Data Profiling & Monitoring: Maintain Python-based profiling pipelines.
• Data Quality Assurance: Build automated checks and data quality assessments.
• Longitudinal Patient Cohorting: Design inclusion/exclusion funnels for large-scale real-world data initiatives.
• Cross-Functional Collaboration: Work with clinical SMEs, data labeling teams, ML engineers, and data scientists to define validation datasets.
• Documentation & Reporting: Maintain documentation and metrics for data quality and evaluations.

Skills

Python

SQL

RWD data

Data profiling

Data quality

Longitudinal cohorts

Statistical analysis

NLP evaluation

Education

Bachelor's or Master's in CS/Data Science/Statistics/Engineering/Clinical Informatics

Tools

Python profiling pipelines

ETL pipelines

Tableau/Plotly/matplotlib/seaborn

Job description

Passionate about precision medicine and advancing the healthcare industry?

Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

Senior Data Scientist, RWD Analytics

Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

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.

Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote roles- Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.