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Business Analyst – Life Sciences

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Jobtailor
Full Time position
Listed on 2026-07-30
Job specializations:
  • Business
    Data Analyst, Business Analyst
Salary/Wage Range or Industry Benchmark: 90000 - 140000 GBP Yearly GBP 90000.00 140000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

  • Lead strategic foresight initiatives focused on the future of Life Sciences and Biopharma manufacturing.
  • Identify emerging trends, opportunities, and risks across the Life Sciences sector.
  • Develop research hypotheses and future-focused analytical frameworks.
  • Analyse developments in digital manufacturing, industrial automation, AI, and advanced analytics.
  • Assess the impact of sustainability, energy optimisation, and regulatory changes on manufacturing operations.
  • Evaluate future manufacturing models, technologies, and investment strategies.
  • Develop and validate future-state scenarios for pharmaceutical and biopharmaceutical manufacturing.
  • Translate industry insights into strategic recommendations for senior stakeholders.
  • Facilitate executive workshops and strategy sessions with client leadership teams.
  • Act as the lead Life Sciences SME across strategic consulting engagements.
  • Validate research findings and provide expert interpretation of market, operational, and regulatory developments.
  • Build and maintain relationships with key stakeholders across the Life Sciences ecosystem.
  • Conduct executive interviews and engage with industry experts to gather and validate insights.
  • Support industry forums, advisory groups, and thought leadership initiatives.
  • Leverage AI-enabled research tools and ensure the quality, accuracy, and relevance of generated insights.
Requirements
  • Bachelor's degree in Engineering, Biotechnology, Life Sciences, Pharmaceutical Sciences, Manufacturing, or a related discipline.
  • Master's degree, MBA, or other advanced qualification preferred.
  • Relevant industry certifications in Manufacturing, Automation, Digital Transformation, Strategy, or Project Management would be advantageous.
  • Strong knowledge of GMP-regulated manufacturing operations.
  • Biopharmaceutical Manufacturing
  • Pharmaceutical Operations
  • Engineering & Capital Projects
  • Digital Manufacturing
  • Smart Factories
  • Industrial Automation & Controls
  • MES/MOM Systems
  • Manufacturing Strategy
  • Operational Excellence
  • Supply Chain Transformation
  • Proven ability to engage and influence senior stakeholders, including Director, VP, and C-suite level executives.
  • Excellent communication, stakeholder management, analytical, and consulting skills.
  • Proven experience within Pharmaceutical and/or Biopharmaceutical manufacturing environments.
Core Competencies

Demonstrates expertise in Life Sciences and Biopharma manufacturing, focusing on strategic foresight, digital manufacturing, and regulatory compliance. Proven ability to analyze trends, develop strategic recommendations, and engage with senior stakeholders effectively.

Highest-signal resume keywords
  • Life Sciences SME
  • Biopharmaceutical Manufacturing
  • Digital Manufacturing
  • GMP-Regulated Manufacturing Operations
  • Stakeholder Management
Hard Skills
  • Strategic Foresight
  • Analytical Frameworks
  • Advanced Analytics
  • Industrial Automation
  • Manufacturing Strategy
  • Operational Excellence
  • Supply Chain Transformation
  • Research Hypotheses Development
  • Future-State Scenario Development
  • Investment Strategies
Soft Skills
  • Excellent Communication
  • Stakeholder Engagement
  • Analytical Skills
  • Consulting Skills
Certifications & Qualifications
  • Manufacturing Certification
  • Automation Certification
  • Digital Transformation Certification
  • Project Management Certification
Industry Keywords
  • Life Sciences
  • Biopharma
  • Pharmaceutical Operations
  • Engineering & Capital Projects
  • Regulatory Changes
  • Sustainability
  • Energy Optimisation
Tools & Technologies
  • AI-Enabled Research Tools
  • MES/MOM Systems
  • Smart Factories
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