Currently tracking 8 active AI roles, down 38% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $73k–$260k (avg $175k).
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.
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 |
|---|---|---|
| Senior Scientist II, Applied Machine Learning and Translational Agentic AI, Life Science R&D Lead the scientific development of agentic AI frameworks for discovering prognostic and predictive models in oncology, integrating LLM orchestration with translational science. Architect 'deep agents' for hypothesis generation, experimental design, and multimodal ML using foundation models. Innovate scientific methodology, develop predictive models and causal inference frameworks, and scale scientific discovery. | Agent | 9 |
| 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. |
| 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 |
| Staff Machine Learning Engineer, Oncology foundation Model Staff Machine Learning Engineer focused on architecting, building, and maintaining the critical data infrastructure for large multimodal generative AI models in healthcare, processing diverse data types like genomics, pathology images, and clinical notes. | Data | 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 |
| AI Data Science Summer Analyst This internship focuses on applying data science and machine learning techniques, specifically Large Language Models (LLMs), to streamline business operations through automation for document processing and data extraction, aiming to modernize business workflows and improve operational efficiency. | Agent | 7 |
| AI Data Science Summer Associate Seeking an AI Data Science Summer Associate to apply advanced AI/ML techniques, specifically LLMs, to automate documentation and improve efficiency in healthcare business operations. The role involves designing and implementing ML models and NLP algorithms, conducting EDA, and leveraging LLMs for automation. | Agent | 7 |
| Data Architect Data Architect to design the structural backbone of a high-scale, multi-modal healthcare data ecosystem, focusing on architecting data environments that serve AI agents and enable real-time clinical evaluation. | Agent | 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 |
| Head of Marketing Head of Marketing role at Tempus AI, a healthcare company leveraging AI for precision medicine. The role focuses on driving market share, brand awareness, and commercial footprint by translating complex clinical technology into clear market positioning and differentiated messaging. Responsibilities include developing campaign and content, enabling cross-functional teams, and leading marketing initiatives. Requires extensive marketing and leadership experience in regulated healthcare/life sciences, with an AI-first mindset and familiarity with modern marketing workflows. | — | 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 |
| Senior Pharma Operations Associate This role focuses on managing and executing complex pharma partner projects, ensuring the successful implementation of Tempus' data and diagnostic solutions. The Senior Pharma Operations Associate serves as a day-to-day operational point of contact, translating partner needs into executable plans, driving high-quality delivery, and managing relationships to ensure partner satisfaction and expansion. The role involves understanding strategic objectives, managing project timelines, collaborating with internal teams, and ensuring adherence to regulatory standards, with a requirement for experience in using AI/GenAI concepts in healthcare workflows. | — | 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 |
| Clinical Account Executive, Fort Lauderdale Clinical Account Executive for Tempus AI, a company using AI and real-world evidence in precision medicine. The role focuses on driving business expansion, managing client relationships, and implementing solutions within cancer centers and oncology practices. Requires consultative selling, understanding of the healthcare/reimbursement landscape, and executive-level engagement. | — | 5 |
| Clinical Account Executive, Nashville This role is for a Clinical Account Executive at Tempus AI, focusing on driving business expansion and client relationships within the precision medicine and healthcare industry. The company utilizes a proprietary AI platform to provide actionable insights for physicians, aiming to improve patient treatments. The role involves strategic planning, contract implementation, and market analysis within a specified territory, requiring strong sales, negotiation, and communication skills, as well as a deep understanding of molecular diagnostics and the healthcare reimbursement landscape. | — | 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 |
| Associate, Commercial Strategy and Operations This role supports the Commercial Diagnostics organization, specifically Oncology Diagnostics sales focused on healthcare providers and systems. It involves strategic planning, sales force effectiveness, and driving growth opportunities within the precision medicine space, leveraging data and AI. | — | 5 |
| Director, Operations This role focuses on operational planning and execution for a healthcare company leveraging AI, specifically integrating GenAI into core workflows to automate administrative tasks and streamline processes. The Director will lead end-to-end operations, identify and resolve risks, collaborate with Product, Engineering, and Applied AI teams, and ensure alignment with business objectives and regulatory standards. | — | 5 |
| Sr. Commercial Learning & Development Manager This role is for a Senior Manager of Learning and Development focused on the MRD portfolio within Tempus AI, a healthcare company leveraging AI for precision medicine. The primary responsibility is to develop, implement, and facilitate training programs for sales teams, translating complex technical information into understandable lessons. While the company uses AI, this role is focused on sales enablement and training, not direct AI/ML model development or deployment. | — | 5 |
| Staff Product Manager, Customer Systems Product Manager for physician-facing applications that review and interact with diagnostic reports, leveraging AI for precision medicine and healthcare transformation. | — | 5 |
| Director, Marketing Marketing Director role focused on corporate narrative, AI-driven customer experiences (including website agent), and marketing for Pharma Services. Requires hands-on strategy and execution, with familiarity with LLMs and AI-native marketing workflows. | — | 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 |