Industry 101 ‐ Life Sciences - larralapid/finds GitHub Wiki

Life Sciences Industry Knowledge Document

1. Industry Overview

Market Landscape

  • Global life sciences market: $2+ trillion value
  • Key segments: Pharmaceuticals, Biotechnology, Medical Devices, Research Services
  • Major players: Traditional Pharma (Pfizer, Novartis), Biotech (Amgen, Biogen), Contract Research Organizations (IQVIA, Charles River)
  • Rise of precision medicine and digital therapeutics
  • Platform-based research and Development-as-a-Service trends

Regulatory Environment

  • FDA/EMA requirements for drug approval
  • Regional regulations (FDA in US, EMA in EU)
  • GxP requirements (GMP, GCP, GLP)
  • Clinical trial regulations
  • Data integrity requirements (21 CFR Part 11)

Industry Challenges

  • Long development cycles (10-15 years)
  • High R&D costs and failure rates
  • Regulatory compliance complexity
  • Patent cliff pressures
  • Data management and integration
  • Supply chain complexity
  • Access to specialized talent

2. Business Architecture

Value Chain

Primary Activities:

  • Research & Discovery
  • Pre-clinical Development
  • Clinical Development
  • Manufacturing & Supply Chain
  • Commercial Operations
  • Medical Affairs

Support Activities:

  • Quality Management
  • Regulatory Affairs
  • Technology Infrastructure
  • Research Operations
  • Portfolio Management

Business Capabilities

L1 Capabilities:

  1. Research Management

    • Target Discovery
    • Lead Optimization
    • Pre-clinical Studies
  2. Development Management

    • Clinical Operations
    • Regulatory Affairs
    • Medical Writing
    • Bio-statistics
  3. Operations Management

    • Manufacturing
    • Quality Control
    • Supply Chain
    • Technical Services
  4. Commercial Operations

    • Market Access
    • Sales & Marketing
    • Medical Affairs
    • Patient Services

Operating Model

Typical Structures:

  • Therapeutic Area-based
  • Development Phase-based
  • Geography-based
  • Function-based (R&D, Commercial, Manufacturing)
  • Matrix combinations

3. Technology Landscape

Core Systems

  1. Research & Development Systems

    • Laboratory Information Management Systems (LIMS)
    • Clinical Trial Management Systems (CTMS)
    • Electronic Data Capture (EDC)
    • Electronic Trial Master File (eTMF)
  2. Quality & Manufacturing Systems

    • Quality Management Systems (QMS)
    • Manufacturing Execution Systems (MES)
    • Enterprise Resource Planning (ERP)
    • Laboratory Information Systems (LIS)
  3. Common Platforms

    • R&D: Benchling, PerkinElmer
    • Clinical: Medidata, Veeva Vault
    • Quality: TrackWise, MasterControl
    • Commercial: Veeva CRM, IQVIA

Technology Trends

  • AI/ML in drug discovery
  • Digital clinical trials
  • Real-world evidence platforms
  • Blockchain for supply chain
  • Cloud-first platforms
  • Digital therapeutics
  • Advanced analytics

IT Operating Model

Structure:

  • Research IT teams
  • Clinical IT teams
  • Manufacturing IT teams
  • Digital & Analytics
  • Compliance & Validation
  • Innovation Labs

4. Value Streams & Processes

Core Value Streams

  1. Drug Development

    • Target identification
    • Lead optimization
    • Pre-clinical testing
    • Clinical trials
    • Regulatory submission
  2. Clinical Operations

    • Protocol development
    • Site selection
    • Patient recruitment
    • Study conduct
    • Data management
  3. Manufacturing Operations

    • Process development
    • Technology transfer
    • Production
    • Quality control
    • Distribution

Support Value Streams

  1. Regulatory Affairs

    • Submission planning
    • Documentation
    • Agency interactions
    • Post-market surveillance
  2. Quality Management

    • Quality control
    • Compliance monitoring
    • Audit management
    • CAPA management

5. Agile Transformation Context

Transformation Drivers

  • Speed to market
  • R&D productivity
  • Digital innovation
  • Cost optimization
  • Regulatory compliance
  • Patient centricity

Common Patterns

  1. Transformation Approach

    • Digital R&D initiatives
    • Agile clinical development
    • Digital manufacturing
    • Data-driven decisions
    • DevSecOps adoption
  2. Organization Structure

    • Product-aligned teams
    • Development squads
    • Platform teams
    • Scientific CoEs

6. Change Management Considerations

Cultural Aspects

  • Scientific rigor mindset
  • Regulatory compliance focus
  • Quality-first approach
  • Innovation barriers
  • Siloed operations
  • Risk-averse culture

Stakeholder Management

Key Groups:

  1. Internal

    • Scientific Leadership
    • R&D Teams
    • Manufacturing Teams
    • Quality Teams
    • Commercial Teams
  2. External

    • Regulatory Agencies
    • Healthcare Providers
    • Patients
    • Research Partners
    • Contract Organizations

7. Reference Information

Industry Standards

  • ICH Guidelines
  • GxP Standards
  • ISO Standards (13485, 9001)
  • Quality System Regulations
  • Pharmacopeia Standards

Key Frameworks

  • Target Product Profile
  • Quality by Design
  • Clinical Development Framework
  • Technology Transfer Framework
  • Risk Management (ICH Q9)

Metrics & KPIs

  1. Research & Development

    • Pipeline Progress
    • Clinical Trial Success Rate
    • Time to Market
    • Patent Life
    • R&D ROI
  2. Operations

    • Manufacturing Yield
    • Right First Time
    • Batch Success Rate
    • Inventory Turns
    • CAPA Metrics
  3. Digital

    • Digital Trial Adoption
    • Data Integration Level
    • Automation Rate
    • Digital Engagement

Glossary

  • Scientific Terms
  • Regulatory Terms
  • Technical Terms
  • Industry Acronyms