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Provide end-user IT support: triage tickets, troubleshoot Windows and macOS devices, peripherals, basic networking, VOIP and AV systems; manage user accounts/onboarding with Active Directory/Okta/Google Admin; deploy hardware via MDM, document solutions in ServiceNow, and collaborate with IT teams and vendors.

The Area Vice President leads a regional team in the Life Sciences division, developing strategic sales plans, achieving revenue targets, and fostering client relationships within the biotech sector.

As a Staff AI Scientist, you will lead AI projects, design deep learning models using multimodal data, and ensure regulatory compliance in healthcare AI products.

This role involves driving end-to-end product ownership, engaging in customer research, designing user experiences, and developing solutions using AI tools.

The Director of Business Development for AI Products will identify new business opportunities, develop sales strategies, manage relationships, and drive sales for Tempus's AI solutions in the life sciences sector.

Lead penetration testing and vulnerability remediation for web, mobile, and medical device applications, ensuring compliance with healthcare regulations.

Configure and support SSO integrations (SAML/OIDC), troubleshoot authentication/MFA and provisioning issues, maintain automated lifecycle provisioning across HRIS/AD/apps, assist with Okta Device Assurance and endpoint posture, and support identity governance/compliance using Okta tools.

Lead engineering teams to design and deliver cloud-native, HIPAA-compliant data integration solutions for health systems. Define service offerings, improve resiliency and transparency of pipelines, integrate with EMRs using healthcare and genomic data standards, and mentor technical teams.

Lead full-cycle recruiting for business and technical functions, partnering with hiring managers to define roles, source candidates via Workday and LinkedIn Recruiter, manage ATS records, advise on market and interview best practices, champion candidate experience, support DEI initiatives, and track recruiting metrics.

Lead enterprise healthcare data modeling: design and maintain conceptual/logical/physical models, integrate varied clinical sources, implement common data model transformations, monitor data quality, and collaborate with clinicians, data scientists, and engineers.