Life Science Clinical Senior Manager

This role is for a Senior Manager in Deloitte's Life Sciences R&D team, focusing on leading clinical transformation initiatives. While the role involves applying AI/ML technologies to improve processes, the core function is management and consulting within the life sciences domain, not direct AI/ML model development or research. The primary output is improved business processes and client solutions, fitting into a product/service delivery context.

What you'd actually do

  1. Leading engagement planning, budgeting, staffing, and delivery for complex client engagements
  2. Managing executive client and sponsor relationships and driving alignment on solutions, deliverables, and outcomes
  3. Leading clinical transformation initiatives, including operating model changes and process redesign across drug development workflows
  4. Applying technologies such as generative artificial intelligence (GenAI), artificial intelligence (AI), machine learning (ML), and automation to improve clinical and business processes
  5. Leading business development efforts, including pursuits, proposal development, pricing strategy support, and team leadership and coaching

Skills

Required

  • 8+ years of experience in consulting, industry, or advisory roles focused on life sciences, health care, or clinical transformation
  • 5+ years of life sciences industry experience, including significant experience in the clinical domain
  • Experience introducing generative artificial intelligence (GenAI), artificial intelligence (AI), machine learning (ML), or automation into drug development or business processes
  • Experience leading clinical operating model transformations and evaluating or redesigning drug development workflows, key activities, inputs, outputs, and interdependencies
  • Bachelor’s degree
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.

Nice to have

  • Experience leading consulting engagements end-to-end across teams in multiple locations
  • Experience with clinical analytics and data-driven trial or clinical development insight solutions, including study feasibility, site selection, patient recruitment, retention, site burden, or patient burden
  • Experience with clinical data mapping, processing, data flow, or data architecture
  • Experience with clinical study design, data management, or data standards
  • Experience with medical writing or clinical content supply chain management
  • Experience leading sales pursuits, developing proposal content, and managing strategic engagements for large global organizations

What the JD emphasized

  • Experience introducing generative artificial intelligence (GenAI), artificial intelligence (AI), machine learning (ML), or automation into drug development or business processes
  • Experience leading clinical operating model transformations and evaluating or redesigning drug development workflows, key activities, inputs, outputs, and interdependencies