Senior Data Scientist, RWD Analytics

Tempus AI, Inc.; Chicago (IL); On-site; USD 130,000 - 175,000; Full time

Benefits offered by this job

Competitive compensation

Full benefits

Remote-friendly options

Job summary

Tempus AI, Inc. is seeking a Senior Data Scientist for RWD Analytics in Chicago. You will design heuristic rules and large-scale longitudinal cohort pipelines to advance real-world evidence in healthcare.

You will profile data using Python pipelines, implement quality checks, and collaborate with clinicians, ML engineers, and data scientists to define ground truth standards. Knowledge of oncology data and EHR structures is highly preferred.

Qualifications

• Bachelor's or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Clinical Informatics, or related field.
• 4+ years of experience in data science, clinical data analytics, or machine learning with 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 (staging, biomarkers, radiotherapy, lines of therapy) and EHR data structures is highly preferred.
• Experience with data visualization tools (matplotlib, seaborn, Plotly, Tableau) to communicate data trends, evaluation metrics, and quality metrics.
• Excellent problem-solving skills, extreme attention to detail, and ability to 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).

Responsibilities

• Design, implement, and formally validate heuristic rules and algorithms for derived clinical concepts using pipeline data.
• Maintain and expand Python-based profiling pipelines.
• Build, refactor, and execute comprehensive data quality checks ensuring robust schema and valueset adherence.
• Design complex inclusion/exclusion funnels and execute large-scale longitudinal patient cohort pulls for real-world data initiatives.
• Collaborate with clinical SMEs, data labeling teams, ML engineers, and data scientists to define validation datasets and ground truth standards.
• 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

Data profiling

Data quality checks

Statistics

Education

Bachelor's or Master's in CS/DS/Statistics

Tools

Matplotlib

Seaborn

Plotly

Tableau

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. Tempus was founded in August of 2015 by Eric Lefkofsky, after his wife was diagnosed with Breast Cancer. Shortly after he founded the company in an effort to bring the power of technology and artificial intelligence to cancer care, he convinced Ryan Fukushima to join as the company’s first employee. Ryan and Eric began assembling a world class team, focused on building the first version of a platform capable of ingesting real time healthcare data in an effort to personalize diagnostics. We built the platform for oncology and have expanded it to neuropsychiatry, cardiology, infectious disease (through COVID), and radiology. Despite our rapid growth, our mission remains the same—to help make sure patients are on the right drug at the right time, so they can live longer and healthier lives. We're looking for people who can change the world. Who question the status quo and don't shy away from tough problems. For the builders who are never done building and the learners who are never done learning. We're looking for passionate people with undying curiosity. Those who want to attack one of the most challenging problems mankind has ever faced. Head on.