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.

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.

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.

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.

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.

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.

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.

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.

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.

Senior Software Engineer to build horizontal GenAI solutions for Tempus' healthcare platform, integrating state-of-the-art GenAI capabilities into products. Role involves using GenAI tools daily and potentially integrating frameworks like LangChain.

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 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.

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.

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.

Tempus AI is seeking a Lab Ops Associate I to assist with sample movement, tracking, and management within their laboratory, ensuring CLIA/CAP compliance and general lab maintenance. This role supports the company's mission of using real-world evidence and AI to improve precision medicine.

This role supports laboratory operations in a healthcare company that uses AI to impact clinical care. Responsibilities include sample movement, tracking, management, and general lab maintenance. The role requires a High School degree and 0-2 years of clinical laboratory experience, with knowledge of CAP regulations.

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.

The Laboratory Automation Engineer will be responsible for the innovation, development, validation, and implementation of new methodologies to improve laboratory processes. This includes designing and implementing new processes, developing protocols for liquid handlers, performing experimentation, investigating non-conformances, and ensuring successful technology transfer. The role requires a Bachelor's degree in Engineering, Automation, Biology or a related discipline, and 3+ years of experience in a physical automation or adjacent role.

Senior Technical Project Manager at Tempus AI, focused on leading clinical data integration projects within the healthcare industry. The role involves managing EHR integrations, data interoperability, and collaborating with healthcare partners and internal engineering teams to ensure timely and efficient delivery of Tempus' AI-driven precision medicine platform.

This role focuses on managing the Cyber Risk Register and program for a health-tech company, involving risk identification, quantification, scoring, executive reporting, and supporting compliance with standards like HIPAA and HITRUST. It requires experience in information security, risk management, and GRC within the tech, AI, or healthcare industries.

This role manages the medical device cybersecurity program, ensuring secure-by-design principles and adherence to FDA guidelines throughout the device lifecycle, bridging enterprise security strategy with product execution.

Lead Quality Engineer for Tempus AI, focusing on the development and sustaining of In Vitro Diagnostics (IVD) medical devices and Laboratory Developed Test (LDT) products. This role involves product development, risk management, post-market surveillance, and ensuring compliance with FDA and EU IVDR regulations throughout the product lifecycle. The position requires a strong understanding of medical device quality systems and regulatory requirements.

This role is for a Molecular Technologist in a clinical laboratory focused on precision medicine and healthcare. The primary responsibilities involve performing high-quality next-generation sequencing (NGS) data generation, quality control, laboratory maintenance, and diagnostic testing in accordance with strict SOPs and regulatory requirements (CAP, CLIA, NYSDOH). The role requires experience in NGS workflows, molecular biology techniques, and working in a high-complexity clinical laboratory setting. While the company mentions AI advancements impacting clinical care, this specific role is focused on the wet lab execution of genomic sequencing, not AI/ML model development or deployment.

Clinical Lab Associate responsible for sample returns and sendouts, utilizing laboratory software, managing specimens, and ensuring documentation compliance with HIPAA regulations.

Manager, Biostatistics role at Tempus AI, focusing on leading statistical analysis of complex clinical and real-world data studies in healthcare. Requires advanced statistical expertise, collaboration with cross-functional teams, and mentorship of junior staff. The role involves providing statistical support for regulatory submissions and staying current with industry best practices.

This role focuses on designing, developing, and administering advanced analytics dashboards, reporting, and business intelligence tools within the healthcare domain. The primary responsibilities involve gathering requirements, delivering analytic solutions, collaborating with stakeholders, performing root cause analyses, building data views for reporting and self-service, and ensuring data integrity through governance initiatives. While the company uses AI and mentions 'Agentic workflows' as a bonus, the core of this role is BI engineering and data management, not direct AI/ML model development or deployment.

Manager responsible for quality control operations in a healthcare lab setting, focusing on reagent production, testing, and compliance with regulations like CAP/CLIA/ISO/OSHA. The role involves managing a team, optimizing workflows, and ensuring the quality and availability of reagents for clinical lab processing, with a strong emphasis on regulatory adherence and operational excellence.

This role is a Histology Assistant at Tempus AI, a healthcare company focused on precision medicine. The role involves maintaining laboratory equipment, performing routine workflows, utilizing automated stainers, and tracking work using a LIMS. It requires a high school degree, knowledge of CAP regulations, and laboratory experience. The company mentions AI's potential impact on clinical care, but this specific role is not directly involved in AI/ML development.

This role involves working with a cutting-edge genomics workflow to provide high-quality data with rapid turnaround times in a clinical laboratory. Responsibilities include performing routine testing, quality control, calibration, maintenance, and complex molecular-based procedures. Key tasks involve nucleic acid extraction, DNA/RNA quantification and qualification using robotics and automated liquid handlers, sterilizing equipment, entering clinical patient data into a Laboratory Information Management system, and maintaining competency in molecular biology protocols.

This role focuses on performing high-quality next-generation sequencing data in a clinical laboratory setting, adhering to strict protocols and regulatory requirements. It involves routine testing, quality control, and complex molecular procedures, with a strong emphasis on precision medicine and contributing to life-saving products.

This role focuses on managing data operations and workflows within the healthcare industry, specifically related to molecular data for oncology research. It involves data intake, fulfillment, documentation, process automation, and ensuring data quality and accuracy using SQL and Excel. While the company utilizes AI, this specific role is centered on data management and operational support rather than direct AI/ML model development.

This role is responsible for accessioning samples into a Laboratory Information Management System, including package receipt, unpacking, specimen intake, quality review, order creation/entry, and document storage. The company mentions AI's potential impact on clinical care, but this role itself does not involve building or directly using AI/ML models.

This role focuses on developing and maintaining clinical data models for Tempus AI, a healthcare company leveraging real-world evidence to provide actionable insights for physicians. The Senior Data Modeler will collaborate with cross-functional teams, translate needs into business logic, integrate data models, and ensure data quality and process improvement.

This role is for a Lead Data Manager in precision medicine, focusing on clinical evidence studies for cancer patients. Responsibilities include all data management activities such as eCRF development, database build, data collection, cleaning, validation, reporting, and ensuring data quality and regulatory compliance. The role requires extensive experience in clinical data management, analytics, database programming, and knowledge of healthcare regulations like CDISC, ICH GCP, and 21 CFR Part 11.

This role supports quality control within a genomics workflow in a molecular laboratory, focusing on equipment maintenance, reagent processes, data analysis, and compliance with regulatory standards. It involves implementing and maintaining processes, investigating issues, and managing documentation.

Senior IAM Engineer responsible for architecting, implementing, and maintaining identity solutions, focusing on automation with Okta Workflows and API integrations. Key responsibilities include designing Okta tenant, automating lifecycle management, managing hybrid identity, integrating applications via APIs, and ensuring security and compliance (SOC2/ISO 27001/SOX). Requires deep understanding of SAML, OIDC, OAuth 2.0, SCIM, and Active Directory, with proficiency in Python, PowerShell, or JavaScript.

Senior Application Security Engineer with deep expertise in penetration testing to lead efforts in identifying and remediating vulnerabilities in web, mobile, and medical device applications, safeguarding sensitive healthcare data and ensuring compliance with regulations like HIPAA and GDPR.

This role focuses on performing high-quality next-generation sequencing data with rapid turnaround times in a clinical laboratory, adhering to strict protocols and regulatory requirements. It involves routine testing, quality control, calibration, maintenance, and complex molecular-based procedures, including nucleic acid extraction, library preparation, and loading sequencing libraries onto Illumina platforms. The role also requires obtaining continuing education hours and maintaining competency in molecular biology protocols.