Tempus AI
Vertical AI · Precision medicine AI (NASDAQ:TEM)
- HQ
- Chicago, US
- Founded
- 2015
- Funding
- Public (TEM)
- Website
- tempus.com
Tempus AI currently has 12 active AI-related job listings. The majority of these roles, 75%, are focused on agents, with data and post-training roles making up the remainder. Engineering is the most frequent function for these positions, with hiring concentrated in the United States. The company is frequently seeking candidates with experience in agent orchestration, LLM observability, and fine-tuning. Over the last 30 days, Tempus AI has added 8 new AI roles, representing a 100% increase compared to the previous 30-day period.
Currently tracking 8 active AI roles, down 45% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $73k–$260k (avg $175k).
Vertical AI · Precision medicine AI (NASDAQ:TEM)
Tempus AI currently has 17 active AI-related roles in our index. The most common open titles are: Associate Director RWE, PharmaR&D, Customer Success AI Strategy & Agent Development Lead, Data Scientist II, Real World Evidence (RWE), Pharma R&D, Detection Engineer, Director, Epidemiology & Methodological Innovation. Most positions are in Engineering and Research.
Tempus AI's active AI hiring is concentrated in: agents (65%), data (29%), post-training (6%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Tempus AI is hiring AI talent in: United States (15 roles), Spain (1 role).
Job postings at Tempus AI most frequently reference: agent orchestration, llm observability, fine tuning, tool use, rag.
In the past 30 days, Tempus AI has posted 5 new AI-related roles. That is a -44% change versus the prior 30 days (9 → 5).
| Title | Stage | AI score |
|---|---|---|
| Translational Scientist, Applied Machine Learning and Agentic AI, Pharma R&D This role focuses on building cutting-edge agentic frameworks for automating the discovery of prognostic and predictive models in oncology, integrating LLM orchestration with computational biology. The scientist will develop 'deep agents' for hypothesis generation, experimental design, and multimodal ML modeling using foundation models, leveraging Tempus' extensive multimodal patient datasets. | Agent | 8 |
| Staff/Senior Machine Learning Engineer, Clinical AI Staff/Senior Machine Learning Engineer to build and operate production AI pipelines, including LLM-powered extraction, batch orchestration, and inference, with a focus on reliability, cost, and latency. The role involves designing and maintaining orchestration, building observability and eval infrastructure, shipping platform tooling, and collaborating with ML Scientists and platform teams. Experience with Python, microservices, cloud-native services, ML frameworks (LangGraph, PyTorch, spaCy), and design documentation is required. Preferred qualifications include experience with on-call rotations, incident response, building eval systems, production LLM application experience, internal platforms/SDKs, and clinical/biomedical data. |
| AgentEval Gate |
| 8 |
| GenAI Product Builder This role is for a GenAI Product Builder in the healthcare domain, focusing on leveraging AI and agentic tools to simplify product development and deliver customer solutions. The role involves end-to-end product ownership, designing and prototyping experiences, developing and engineering solutions using AI tools, and championing standards for scale. It is targeted at recent graduates with a strong aptitude for problem-solving, technical know-how, and process engineering. | Agent | 8 |
| Staff AI Scientist - AI Products / Life Sciences Staff AI Scientist role focused on researching, designing, and deploying multimodal AI models for precision medicine and therapeutic solutions in healthcare, leveraging large clinical and molecular datasets. The role involves technical leadership, algorithmic innovation, collaboration with life sciences companies, ensuring regulatory alignment, and scientific contribution through publications. Requires a Ph.D., 5+ years of industry experience in end-to-end ML model development, and expertise in deep learning, computer vision, and multimodal modeling. | Post-trainServe | 8 |
| Director, Epidemiology & Methodological Innovation Director of Epidemiology & Methodological Innovation to lead high-impact research for biopharma partners, focusing on developing and validating novel epidemiological methods using multimodal datasets (clinical, molecular/genomic) and applying causal inference and machine learning techniques. This role involves client-facing strategy, scientific thought leadership, and bridging data science with productization, with a strong emphasis on regulatory-grade insights for drug development. | Data | 7 |
| Sr. Data Scientist, Translational Research This role focuses on building specialized AI agents and workflows that leverage LLMs to help clients derive insights from large-scale biomedical data. It involves client onboarding, scientific problem-solving, platform guidance, and creating AI-assisted tools for data analysis. The role requires experience in data science, machine learning, Python/R, and putting data science workflows into production, with a strong emphasis on using AI-assisted development tools. | Agent | 7 |
| Associate Director RWE, PharmaR&D Associate Director RWE, PharmaR&D at Tempus AI, focusing on designing and executing research projects for biopharmaceutical partners using real-world evidence and AI. The role involves computational analysis, guiding algorithm development, and incorporating LLMs and agentic workflows into research processes to advance cancer precision medicine. | AgentData | 7 |
| Customer Success AI Strategy & Agent Development Lead Lead the end-to-end development of AI agents within the Customer Success organization, focusing on identifying commercial opportunities, hands-on prompt engineering, and stakeholder alignment. This role bridges technical build teams and customer success to solve capacity and physician needs. | Agent | 7 |
| Software Engineer II, Data Solutions Software Engineer II on the Data Products team responsible for building foundational infrastructure for clinical, research, and AI capabilities. The role involves architecting and driving technical strategy for services and APIs that support ML and Agent developers, focusing on data storage, governance, containerized compute orchestration, and integrating GenAI technologies within a highly regulated healthcare environment. | Data | 5 |
| Detection Engineer This role focuses on building and maintaining data pipelines for security events, with a future goal of developing agentic SOC workflows. The engineer will integrate APIs, test work, and contribute to AI-assisted triage and enrichment, emphasizing human-in-the-loop guardrails and automation based on evidence. | Agent | 5 |
| SVP, Head of Growth for AI Applications & Data Connectivity SVP, Head of Growth for AI Applications & Data Connectivity to lead a dual-sided growth strategy: driving commercial revenue within Life Sciences while simultaneously securing high-fidelity data pipelines and AI algorithm distribution channels with major Health Systems (Providers). This role will be the commercial lead of a strategic business unit, closing partnerships and deploying AI at the point of care. | — | 5 |
| Product Director, Lab Systems Product Director to lead a lab platform team, focusing on developing integrated products that optimize laboratory workflows. The role requires bridging AI/agentic software potential with the practicalities of lab operations, owning product vision, and leading a team of Product Managers. Experience in AI/ML, agentic workflows, systems thinking, and regulated environments is essential. | Agent | 5 |
| Service Desk Manager This role manages the IT Service Desk team, focusing on modernizing support operations through automation and AI. Key responsibilities include team leadership, driving operational excellence, and evaluating/implementing AI-driven solutions like virtual agents and AI-powered ticket routing to improve efficiency and user experience within a healthcare technology company. | — | 5 |
| Senior Product Manager Senior Product Manager for Order Processing at Tempus AI, focusing on improving operational efficiency in precision medicine through AI-assisted workflows and an agentic-first approach. The role involves roadmap development, cross-functional collaboration, and overseeing product releases within the healthcare domain. | — | 5 |
| Staff Product Designer Staff Product Designer role focused on designing AI-enabled care platform workflows for clinicians, influencing roadmaps, and integrating emerging technologies in healthcare. Requires strong systems thinking, collaboration, and experience designing for technical users. | — | 5 |
| Senior Software Engineer, OS Ecosystem Senior Software Engineer on the OS Ecosystem team building foundational infrastructure for Tempus' clinical, research, and AI capabilities. The team provides a platform supporting the full lifecycle of data and compute, from data ingestion to model orchestration, enabling AI and Agent developers to build and deploy solutions in a regulated environment. Focus on data storage, modeling, governance, and warehousing, integrating with GenAI technologies. | Data | 5 |
| Sr Manager, Software Engineering Sr Manager, Software Engineering at Tempus AI, focusing on data reliability and mentorship for a team working with multi-modal healthcare datasets (clinical, genomics, radiology) for ML and clinical decision-making. Responsibilities include leading a team, implementing DBT testing and quality gates, data analysis, product strategy, architecting observability frameworks, and managing an enterprise data model. Emphasizes modern data engineering stack (DBT, SQL, Python), leadership, observability tools, and healthcare domain expertise. Uses AI-assisted development tools. | — | 5 |
| Data Scientist II, Outcomes Research This role focuses on outcomes research using real-world data (RWD) in healthcare, partnering with external organizations to provide data, analysis, and methodological guidance. The Data Scientist will lead and execute HEOR and RWE projects, collaborate with stakeholders, and build analytical infrastructure. While AI is mentioned as impacting clinical care, the core of this role is in traditional pharmacoepidemiologic and HEOR study design and analysis, not direct AI/ML model development. | — | 5 |
| Junior Clinical Trials Data Specialist Junior Clinical Trials Data Specialist role at Tempus AI, focusing on reviewing patient records to match them with clinical trials and creating customized clinical reports. The role involves managing clinical trial workflows, collaborating with cross-functional teams, and synthesizing information from multiple data sources. While the company uses AI, this specific role is primarily data management and coordination within the healthcare domain, with a preferred qualification in basic generative AI knowledge. | — | 5 |
| Medical Science Liaison I - North Florida This role is for a Medical Science Liaison (MSL) in the healthcare industry, focusing on precision medicine and oncology. The role involves educating physicians and healthcare providers about Tempus's AI-powered platform and diagnostic assays, building relationships with Key Opinion Leaders (KOLs), and gathering insights for future developments. While the company utilizes AI, the MSL role itself is not directly involved in building or developing AI models. | — | 5 |
| Manager, Regulatory Submissions This role focuses on developing and leading global regulatory strategies for AI-powered medical devices, ensuring compliance with FDA and other global regulatory authorities. It involves working with scientists, engineers, and clinicians to support the advancement of personalized medicine through regulated products. | — | 5 |
| Senior Quality Engineer Senior Quality Engineer role focused on the verification, validation, and maintenance of host systems supporting medical devices in the healthcare industry, with a strong emphasis on regulatory compliance (FDA, ISO 13485, GAMP5, CSV). The role involves leading risk assessments, ensuring adherence to medical device software design controls, and performing validation activities for AI, SaaS, and in-house developed software. | — | 5 |
| Sr. Data Operations Analyst This role is responsible for building and maintaining the data architecture that powers AI agents and cross-functional data products within the diagnostics business unit. It involves translating operational requirements into technical specifications, operationalizing data pipelines, and owning reporting and dashboard development. The role also supports GenAI and agent lifecycle management, including defining success metrics and evaluation frameworks. | Agent | 5 |
| Associate Director of Bioinformatics Associate Director of Bioinformatics, Diagnostics to lead and manage a team of bioinformatics software engineers building clinical pipelines and tooling for Tempus's diagnostics platform. This role involves technical design, architectural decisions, and code review, focusing on team leadership, technical oversight, cross-functional collaboration, and clinical pipeline development within a regulated clinical setting. | — | 5 |
| Sr. Data Scientist, Outcomes Research This role focuses on outcomes research within the healthcare domain, utilizing real-world evidence (RWE) and health economics and outcomes research (HEOR) methodologies. The primary responsibilities involve leading and executing projects related to outcomes analysis, treatment patterns, and healthcare resource utilization, often involving large-scale healthcare datasets like claims and EHRs. While the company uses AI, this specific role is centered on data analysis, epidemiological studies, and methodological guidance rather than core AI/ML model development or deployment. | — | 5 |
| Senior Software Engineer II, Data Products Senior Software Engineer II on the Data Products team, responsible for building foundational infrastructure for Tempus' clinical, research, and AI capabilities. The role involves architecting and driving technical strategy for services and APIs that support data scientists and ML/Agent developers, focusing on data storage, governance, and integrating GenAI technologies within a regulated healthcare environment. | Data | 5 |
| Data Scientist II, Real World Evidence (RWE), Pharma R&D Data Scientist II role focused on Real World Evidence (RWE) in Pharma R&D, leveraging Tempus' multimodal platform. Responsibilities include leading observational studies, deriving insights from clinical data, implementing advanced statistical methods, and incorporating LLMs and agentic workflows to accelerate research and analysis. The role requires strong proficiency in R, SQL, machine learning, and communication with stakeholders. | Agent | 5 |
| Sr. Technical Product Manager -- Bioinformatics Sr. Technical Product Manager for Bioinformatics at Tempus AI, focusing on precision medicine and advancing healthcare. The role involves managing the software development lifecycle for bioinformatics software, ensuring quality and regulatory compliance, and supporting stakeholders in a regulated environment. Requires experience in medical device development, diagnostics, and regulatory frameworks like FDA and IVDR. | — | 2 |
| Regulatory Affairs Specialist This role supports the development and authorization of regulated medical devices, including those based on AI, by developing global regulatory strategies, managing submissions to authorities like the FDA, and establishing processes for regulatory frameworks. The role requires experience with various medical device regulations and software validation. | — | 1 |
| Director, Biostatistics Director of Biostatistics to lead a team in clinical research, focusing on statistical analysis, clinical trial design, and regulatory submissions for a healthcare company leveraging real-world evidence and AI. The role involves collaboration with data scientists and medical teams, and ensuring compliance with regulations. | — | 1 |
| Rare Disease Account Executive - Illinois This role is for a Rare Disease Account Executive in Illinois, responsible for increasing laboratory sales revenue by promoting genetic diagnostic testing services to clinicians and hospitals. The role involves managing a sales territory, developing customer relationships, negotiating contracts, and achieving sales goals. | — | 0 |
| Rare Disease Account Executive (Northern California) This role is for a Rare Disease Account Executive responsible for increasing laboratory sales revenue by promoting genetic diagnostic testing services to clinicians and hospitals. The role involves managing a sales territory, developing business in existing accounts, acquiring new customers, negotiating contracts, and achieving sales goals. It requires significant sales experience in laboratory services or medical devices, strong communication and relationship-building skills, and proficiency with CRM applications. | — | 0 |
| Rare Disease Account Executive - Northwest (Alaska, Washington, Oregon, Idaho, Montana, Wyoming) Rare Disease Account Executive responsible for increasing laboratory sales revenue through market penetration and promotion of genetic diagnostic testing services. This role involves advocating for products to various healthcare professionals, managing complex sales cycles, and developing customer relationships within a designated territory. | — | 0 |
| Account Executive Hereditary Cancer - Philadelphia This role is for an Account Executive focused on selling genetic diagnostic testing services to clinicians and hospitals. The primary responsibilities include managing a sales territory, growing business in existing accounts, acquiring new customers, negotiating contracts, and achieving sales goals. The role requires experience in medical device or laboratory services sales, strong communication and relationship-building skills, and proficiency with CRM applications. | — | 0 |
| Associate IAM Engineer Associate IAM Engineer responsible for day-to-day identity operations, SSO integrations, device assurance, and troubleshooting authentication issues, focusing on Okta administration and enterprise automation within a healthcare company. | — | 0 |
| Variant Scientist This role focuses on classifying genetic variants for precision medicine in healthcare, utilizing in-house software and scientific literature to generate clinical reports. It involves quality control, process improvement, and curating genetic information. While the company uses AI, this specific role is centered on data analysis and reporting within a diagnostic laboratory setting, not on building or researching AI models. | — | 0 |
| R&D Molecular Associate I This role supports the development of new tests and processes for a clinical NGS lab, focusing on molecular techniques for cancer care. It involves executing molecular protocols, assisting with troubleshooting and automation, and processing clinical samples. | — | 0 |
| Senior IT Support Specialist This role supports IT infrastructure and end-users, focusing on desktop support, system maintenance, user administration, and evaluating new technologies within a healthcare company that utilizes AI. | — | 0 |
| Senior R&D Molecular Associate This role supports the development of new molecular tests and processes for a clinical lab, focusing on molecular techniques and data generation for assay features and analysis algorithms. It involves experimental design, execution, documentation, and quality control within a regulated healthcare environment. | — | 0 |
| SVP, Product SVP, Product role responsible for leading upstream marketing and portfolio management for Tempus' Diagnostics business, focusing on precision medicine and advancing healthcare. The role involves synthesizing market, customer, and product inputs to generate strategies, guide new product development, and maximize revenue. It requires managing a team of Product Managers and collaborating across functions to deliver best-in-class products and services. | — | 0 |
| Clinical Lab Associate I Clinical Lab Associate I at Tempus AI, focusing on sample handling and quality review within a precision medicine context. The role involves unpacking, specimen processing, order creation, accessioning, and ensuring chain of custody, with participation in UAT and special projects. Requires strong organizational skills, attention to detail, and the ability to work independently and as part of a team. | — | 0 |
| Clinical Operations Coordinator (Report Gen) This role supports clinical operations and report generation within a healthcare company that utilizes AI. The primary focus is on managing workflows, supporting projects, cross-functional collaboration, and quality control, rather than direct AI/ML development. | — | 0 |
| Histotechnologist II This role involves preparing and staining tissue slides for pathologists using various laboratory equipment. It requires maintaining specimen integrity, tracking work in a LIMS, maintaining equipment, and following safety protocols. The role also involves evaluating workflows and making adjustments to SOPs, producing quality finished products, and collaborating with the histology team. Communication with pathologists and other teams regarding workflow needs is essential, as is reporting and potentially fixing issues with instrumentation or samples. | — | 0 |
| Molecular Lab Supervisor (3rd Shift) This role is for a Molecular Lab Supervisor responsible for overseeing a molecular workflow, ensuring quality control, maintaining compliance (CLIA/CAP/NYSDOH), and managing a team of technologists. The role involves utilizing automation and robotics in the discovery pipeline and requires strong attention to detail and communication skills. While the company uses AI and the role mentions automation/robotics, the core responsibilities are lab operations and supervision, not direct AI/ML development. | — | 0 |
| Molecular Lab Supervisor This role oversees a molecular lab workflow for next-generation sequencing data, focusing on quality control, CLIA/CAP compliance, and managing a team of technologists. It involves utilizing automation and robotics, and ensuring safety protocols are followed. The company leverages AI and real-world evidence to provide insights for clinical care. | — | 0 |
| Histotechnologist I This role involves preparing and staining tissue slides, maintaining lab equipment, and documenting procedures within a pathology laboratory. It requires an Associate's or Bachelor's degree and familiarity with laboratory regulations and equipment. While the company utilizes AI, this specific role focuses on traditional laboratory techniques and quality control. | — | 0 |
| Quality Control Technologist I-II This role focuses on quality control within a molecular laboratory, supporting a genomics workflow. Responsibilities include implementing equipment and reagent processes, maintaining compliance with regulatory standards (CLIA/CAP/NYS-DOH/ISO), managing equipment maintenance, organizing reagents, executing quality control evaluations, analyzing QC data, investigating issues, implementing corrective actions, updating SOPs, and participating in audits. The role requires a BS in a relevant science field and experience in a molecular lab or with laboratory liquid handlers, with a strong preference for experience in regulated clinical labs. | — | 0 |
| Senior Variant Scientist, Pod Supervisor Senior Variant Scientist, Pod Supervisor at Tempus AI responsible for interpreting patients' genetic data, preparing clinical reports, and supervising a team of Variant Scientists. The role involves clinical case review, quality control, team leadership, and process improvement within a diagnostic laboratory setting. | — | 0 |
| Lead Clinical Lab Associate III - Accessioning Tempus AI is seeking a Lead Clinical Lab Associate III - Accessioning to manage package receipt, sample quality review, and specimen accessioning in their healthcare platform. The role requires strong organizational skills and attention to detail. | — | 0 |
| Extractions Supervisor This role supervises a molecular workflow for next-generation sequencing data, focusing on quality control, CLIA/CAP compliance, and team mentorship. It involves utilizing automation and robotics in a fast-paced, regulated laboratory environment. | — | 0 |