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Tempus AI Hr

To build a world-class team that harnesses data and AI to enable personalized medicine that gives patients longer, healthier lives

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To build a world-class team that harnesses data and AI to enable personalized medicine that gives patients longer, healthier lives

Strengths

  • RECRUITMENT: Industry-leading AI expertise attracts top talent
  • CULTURE: 90% employee satisfaction rate in latest survey
  • DEVELOPMENT: Robust learning programs with 87% participation
  • COMPENSATION: Competitive packages in top quartile for biotech
  • DIVERSITY: 42% representation of women in leadership roles

Weaknesses

  • RETENTION: 18% turnover rate in specialized AI roles
  • SCALING: HR systems struggling to support 35% annual growth
  • INTEGRATION: Cross-functional team collaboration barriers exist
  • BURNOUT: 28% of employees report high workplace stress levels
  • TRAINING: Technical upskilling programs lag behind tech changes

Opportunities

  • PARTNERSHIP: Academic collaborations for talent pipeline expansion
  • REMOTE: 65% of tech talent now open to flexible work arrangements
  • AUTOMATION: HR process automation could reduce admin time by 40%
  • ACQUISITION: Strategic acquihires in complementary AI specialties
  • BRANDING: Growing employer brand in precision medicine space

Threats

  • COMPETITION: Tech giants offering 25% higher compensation packages
  • SPECIALIZED: Limited pool of AI+healthcare specialized talent
  • REGULATION: Compliance demands requiring new skill development
  • BURNOUT: Industry-wide burnout increasing attrition by 22%
  • ECONOMIC: Funding environment tightening for biotech sector

Key Priorities

  • RETENTION: Develop specialized AI talent retention strategy
  • SCALING: Implement AI-powered HR systems for growth support
  • WELLBEING: Address burnout with comprehensive wellness program
  • TRAINING: Accelerate technical upskilling for all employees
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To build a world-class team that harnesses data and AI to enable personalized medicine that gives patients longer, healthier lives

RETAIN BRILLIANCE

Build world-class talent retention capabilities

  • SPECIALISTS: Reduce AI talent turnover from 18% to 12% through tailored retention program
  • PREDICTION: Deploy AI-powered retention risk model with 85% accuracy for early intervention
  • COMPENSATION: Redesign compensation structure for AI roles with competitive benchmarking
  • CAREER: Implement clear technical advancement paths with quarterly progression reviews
SCALE SYSTEMS

Create HR infrastructure that powers rapid growth

  • PLATFORM: Launch new AI-powered HRIS system with 99.5% data accuracy and integration
  • AUTOMATION: Reduce administrative tasks by 40% through intelligent process automation
  • ANALYTICS: Deliver real-time workforce analytics dashboard with predictive capabilities
  • EXPERIENCE: Achieve 85% employee satisfaction with new HR self-service capabilities
ENERGIZE TEAMS

Foster sustainable high performance environment

  • WELLBEING: Launch comprehensive wellness program with 75% participation rate
  • BALANCE: Reduce reported burnout by 30% through workload management initiatives
  • COMMUNITY: Establish 8 employee resource groups with executive sponsorship
  • FLEXIBILITY: Implement flexible work policy with 90% manager and employee alignment
ELEVATE SKILLS

Accelerate continuous learning across organization

  • TECHNICAL: Create AI skill development paths with 80% employee participation
  • MENTORSHIP: Establish cross-functional mentoring program matching 200+ pairs
  • LEADERSHIP: Develop 30 emerging leaders through accelerated leadership program
  • CERTIFICATION: Support 100 employees in obtaining advanced AI credentials
METRICS
  • RETENTION: 92% overall talent retention rate (95% for AI specialists)
  • ENGAGEMENT: Employee Net Promoter Score of 45+
  • EFFICIENCY: HR team supporting 150+ employees per HR business partner
VALUES
  • Patient-First Focus
  • Data-Driven Decision Making
  • Collaborative Innovation
  • Continuous Learning
  • Diversity and Inclusion
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Align the learnings

Tempus AI Hr Retrospective

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To build a world-class team that harnesses data and AI to enable personalized medicine that gives patients longer, healthier lives

What Went Well

  • GROWTH: Headcount increased 32% while maintaining quality standards
  • DIVERSITY: Achieved 40% diversity in technical roles, exceeding goal
  • ENGAGEMENT: Employee engagement scores improved 8% year-over-year
  • DEVELOPMENT: 78% of employees completed personalized learning paths

Not So Well

  • RETENTION: Lost 5 key AI scientists to competitors despite counter
  • ONBOARDING: New hire ramp-up time averaged 4.5 months vs 3 month goal
  • SCALING: HR systems struggled with rapid growth causing delays, errors
  • WELLBEING: Mental health program utilization below 30% target

Learnings

  • SPECIALIZED: AI+healthcare talent requires tailored retention strategy
  • INFRASTRUCTURE: HR tech stack needs modernization for scaling needs
  • BALANCE: Work-life harmony critical to maintaining innovator mindset
  • COMMUNICATION: Greater transparency needed around career opportunities

Action Items

  • COMPENSATION: Revamp AI specialist compensation with retention focus
  • TECHNOLOGY: Implement new HRIS with AI capabilities by end of Q3
  • WELLBEING: Launch comprehensive wellness program with exec sponsorship
  • DEVELOPMENT: Create accelerated technical upskilling program for all
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To build a world-class team that harnesses data and AI to enable personalized medicine that gives patients longer, healthier lives

Strengths

  • EXPERTISE: Internal AI talent can build custom HR solutions
  • CULTURE: Strong data-driven mindset across organization
  • FOUNDATION: Existing AI infrastructure enables quick HR adoption
  • LEADERSHIP: Executive team champions AI-driven HR transformation
  • ANALYTICS: Advanced people analytics capability already in place

Weaknesses

  • INTEGRATION: HR systems not fully integrated with AI platform
  • SKILLS: HR team lacks advanced AI implementation expertise
  • PRIORITY: HR AI projects often deprioritized vs. product needs
  • DATA: Incomplete historical HR data limits predictive models
  • RESOURCES: Limited dedicated resources for HR AI initiatives

Opportunities

  • PREDICTION: AI for predicting turnover risk with 85% accuracy
  • MATCHING: AI-powered skills matching for internal mobility
  • EFFICIENCY: 40% HR process automation potential via AI tools
  • EXPERIENCE: Personalized employee experience through AI
  • INSIGHTS: Real-time workforce analytics for decision support

Threats

  • PRIVACY: Employee data protection concerns with AI adoption
  • BIAS: AI systems could perpetuate hiring and promotion biases
  • RESISTANCE: 35% of HR staff hesitant about AI integration
  • REGULATION: Emerging AI regulations affecting HR applications
  • EXPECTATIONS: Unrealistic AI implementation timelines

Key Priorities

  • PREDICTION: Implement AI-driven retention risk identification
  • AUTOMATION: Deploy AI for HR process efficiency and accuracy
  • UPSKILLING: Develop AI capabilities within HR team
  • GOVERNANCE: Establish ethical AI framework for HR applications