Principal Scientist – Data Insights, Hypothesis Design

Tempus AI

Principal Scientist ensuring scientific coherence of multimodal data platform at Tempus, leveraging AI in clinical care for precision medicine. Engaging in significant data evaluations and cross-functional scientific collaboration.

Posted 7/18/2026full-timeChicago • California, New York • 🇺🇸 United StatesLead💰 $150,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in analyzing large-scale clinico-genomic datasets and translating complex scientific analyses into production-grade data products. Proficient in SQL, Python, and R, with a strong background in precision medicine and multi-omic analyses across various disease domains.

Highest-signal resume keywords

PhD In Quantitative DisciplineLarge-Scale Dataset AnalysisSQL Data Model DesignMulti-Omic Analysis ExpertiseCross-Functional Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonRData EvaluationData VisualizationTechnical Code WritingUser Acceptance TestingData Insight ReportingComputational ModelingGenerative AI Architectures

Soft Skills

Cross-Functional CommunicationClient ManagementMentoringStructured Delegation

Industry Keywords

Precision MedicineTranslational ResearchScientific Product DevelopmentOncologyNeurologyImmunologyHigh-Throughput SequencingClinical-Genomic Data StrategiesData EngineeringBiotechnologies

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Ensure the scientific coherence of Tempus’ multimodal data platform
Bridge the gap between complex molecular science and scalable data engineering.
Conduct rigorous data evaluations, write technical code (SQL, R, Python), and prototype new data offerings.
Deliver implementation-ready table and column specifications to seamlessly transition initial concepts into scalable, production-grade offerings.
Translate complex client research objectives across drug discovery and development lifecycle into actionable clinico-genomic data strategies.
Ensure seamless alignment between client hypotheses and Tempus capabilities.
Evaluate datasets, perform User Acceptance Testing (UAT), and build data insight reports.
Support the continuous growth and scaling of Tempus' expanding clinical-genomic footprint across diverse disease domains.

Requirements

What you’ll need

PhD in a quantitative, NGS-related discipline (e.g., Computational Biology, Genetics, Bioinformatics, Systems Biology)
6+ years of industry experience across precision medicine, translational research, scientific product development, or related commercial and operational areas.
Deep expertise in at least one of oncology, neurology, or immunology.
Strong, demonstrable experience analyzing large-scale clinico-genomic datasets across multiple disease areas.
Proven experience collaborating directly with data engineering and platform teams to build large-scale relational databases, design advanced SQL data models.
Active, up-to-date expertise with cutting-edge computational modeling, including experience leveraging foundation models, generative AI architectures, and agentic workflows.
Deep expertise executing multi-omic analyses across a diverse spectrum of high-throughput sequencing applications and biotechnologies.
Proven experience bringing data to market and translating scientific analyses into production-grade data products or clinical-facing solutions.
Proficiency in Python and/or R for reproducible scientific analysis, workflow development, and data visualization.
Strong cross-functional communication skills with the ability to architect end-to-end execution plans, manage client expectations, and mentor technical peers through structured delegation.

Benefits

Comp & perks

incentive compensation
restricted stock units
medical and other benefits