
Biotechnology Research · 3k people
Senior Data Scientist, RWD Analytics
Posted 3 Nov
What’s this role about? The Senior Data Scientist will design and validate clinical heuristic rules and maintain Python-based data profiling pipelines. They will also collaborate with cross-functional teams to execute large-scale longitudinal patient cohort pulls and ensure high data quality standards.
Skills required
Tap the ones you have
Want to get this job faster?
Apply with AI
No more application formsOur AI fills them in and submits them for you. You just pick the jobs.
Find hiring manager
Reach the person hiringEmail the person behind the job, not the inbox.
Company
About Tempus AI Tempus is making precision medicine a reality by applying AI in healthcare, deriving insights from our expansive library of clinical data and molecular data. We enable physicians to make real-time, data-driven decisions to deliver personalized care and targeted therapies for patients through our analytical machine learning platform that uses the power of artificial intelligence in healthcare. We also work with partners to facilitate discovery, development, and delivery of optimized therapeutic options for patients through distinctive solution sets. Our mission is for each patient to benefit from the treatment of others who came before by providing the healthcare industry tools that learn as we gather more data. It’s About Time. For more information, visit tempus.com.
Tempus AI
Tempus AI, Inc. (NASDAQ: TEM) is a technology company leading the adoption of AI to advance precision medicine.

Responsibilities
- 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.
- 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.
Qualification
- 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.
Benefits
- Incentive compensation
- Restricted stock units
- Medical benefits
Interested in this role?
Recommended jobs
- B

Senior Data Scientist - Enterprise Credit
Bank of America·Chicago
$125K – $187.5KHybridFull-time5-10 years expSkills required
Data SciencePythonSQL - U

Senior Data Scientist - Operations Research
United Airlines·Chicago
$117.6K – $153.1KOn-siteFull-time2-5 years expSkills required
Operations researchMathematical modelingMachine learning - A

Senior Data Scientist I – Bioassay Data Scientist
AbbVie·North Chicago
$96.5K – $183.5KOn-siteFull-time5-10 years expSkills required
Bioassay dataKnowledge graphsData visualization