Similar Jobs at Tempus AI
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Analytics • Biotech • Generative AI
Supports molecular R&D diagnostic assay development by preparing, editing, compiling, filing, and maintaining validation protocols, reports, SOPs, batch records, and work instructions. Ensures documentation consistency, compliance, version control, and audit readiness for IVD and LDT projects. Collaborates with scientists, technologists, quality, and regulatory teams while managing documentation retrieval and continuous process improvements.
Top Skills:
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Artificial Intelligence • Big Data • Healthtech • Machine Learning • Analytics • Biotech • Generative AI
Manage pharmaceutical and CRO partnerships and oversee clinical trial execution across the TIME network, from study start-up through closure. Ensure quality, timelines, customer satisfaction, and continued business growth. Coordinate with site operations, medical affairs, pathology, bioinformatics, and data science teams; identify and resolve study risks; apply clinical trial, FDA, GCP, budgeting, agreement, and IRB expertise to accelerate cancer trial completion.
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AIClinical Trial SystemsFda RegulationsGood Clinical Practice (Gcp)Real-World Evidence Platforms
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Analytics • Biotech • Generative AI
Serve as the primary clinical partner to biopharma accounts, translating oncology practice, real-world evidence, clinical trials, and AI-driven solutions into strategic guidance. Develop account strategies, analyze pipelines and trial data, advise on protocol design and cohort selection, synthesize conference updates, and communicate complex scientific solutions to executive clients. Requires oncology clinical expertise, preferably in gastrointestinal or breast cancers, plus biopharma and real-world data fluency.
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Artificial IntelligenceClinical DataNext-Generation SequencingReal-World Data
Lead scientific design and data prototyping for Tempus' multimodal clinical-genomic platform. Perform data evaluation, write technical code (SQL, R, Python), design scalable data models (TDM), validate terabyte-scale datasets across oncology, neurology, and immunology, and translate findings into production-grade data products while advising clients and mentoring cross-functional teams.
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.
Principal Scientist – Data Insights & Hypothesis DesignPassionate 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.Position OverviewAs a Principal Scientist on the Data Insights and Hypothesis Design team, you will ensure the scientific coherence of Tempus’ multimodal data platform while bridging the gap between complex molecular science and scalable data engineering.This position requires strong computational, statistical, and translational research skills, alongside a deep interest in reproducible science and artificial intelligence. You will serve as a cornerstone for expanding our multi-modal applications beyond our foundational oncology roots, actively spearheading scientific efforts to support emerging, large-scale datasets in neurology (Alzheimer's disease) and Immunology & Inflammation (I&I).Role Focus & Scientific ImpactIn this position, you will act as a highly specialized subject matter expert, anchoring our data strategy with deep domain expertise across multiple therapeutic areas. Your impact will be driven by a balance of hands-on technical execution such as data prototyping and code creation and the strategic delegation of modular tasks to effectively scale projects. While you will work closely with cross-functional teams to support go-to-market strategies with rigorous scientific insights and validation, your primary focus will remain on scientific excellence, enablement, and data integrity.Key Responsibilities- Data Evaluation & Prototyping: Conduct rigorous data evaluations, write technical code (SQL, R, Python), and prototype new data offerings within the Tempus Data Model (TDM). Deliver implementation-ready table and column specifications to seamlessly transition initial concepts into scalable, production-grade offerings.
- Client Alignment & Scientific Advisory: Translate complex client research objectives across the drug discovery and development lifecycle into actionable clinico-genomic data strategies. Ensure seamless alignment between client hypotheses and Tempus capabilities, effectively matching the right datasets to their specific research needs and guiding how to best leverage them.
- Cross-Functional Subject Matter Expertise: Serve as a core scientific authority across the organization. Evaluate datasets, perform User Acceptance Testing (UAT), and build data insight reports and capability demonstrations that empower various teams with scientifically validated evidence.
- Cross-Domain Data Oversight: Support the continuous growth and scaling of Tempus' expanding clinical-genomic footprint across diverse disease domains, with an active focus on neurology and Immunology. Bring a holistic, cross-disciplinary view of human biology to profile and validate terabyte-scale datasets, leveraging a proven track record of scientific agility to seamlessly adapt, uncover novel biological patterns, and extract meaningful findings across varying disease areas.
- Education & Experience: PhD in a quantitative, NGS-related discipline (e.g., Computational Biology, Genetics, Bioinformatics, Systems Biology) with 6+ years of industry experience across precision medicine, translational research, scientific product development, or related commercial and operational areas.
- Domain Expertise: Deep expertise in at least one of oncology, neurology, or immunology. Additionally strong, demonstrable experience analyzing large-scale clinico-genomic datasets across multiple disease areas.
- Data Engineering & Scale Architecture: Proven experience collaborating directly with data engineering and platform teams to build large-scale relational databases, design advanced SQL data models, and support the robust infrastructure needed to create and deploy massive, production-grade models.
- Emerging AI & Foundational Modeling Knowledge: Active, up-to-date expertise with cutting-edge computational modeling, including experience leveraging foundation models, generative AI architectures, and agentic workflows to interpret and navigate complex biological data.
- Multi-Omic & NGS Modalities: Deep expertise executing multi-omic analyses across a diverse spectrum of high-throughput sequencing applications and biotechnologies, including specialized NGS modalities such as single-cell sequencing, immunomics, metagenomics, and varied sequencing platforms.
- Translational Impact: Proven experience bringing data to market and translating scientific analyses into production-grade data products or clinical-facing solutions.
- Programming: Proficiency in Python and/or R for reproducible scientific analysis, workflow development, and data visualization.
- Strategic Leadership: 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.
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 AI Chicago, Illinois, USA Office
Tempus AI Chicago - Tempus Headquarters & Lab Office
Our Chicago office is located in downtown River North. Right on the river and close to neighborhoods like Fulton Market, Central Business District, Lincoln Park, and Streeterville, it's a lively area with convenient transportation access and is home to many bars, restaurants, and coffee shops.
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
