Day 1

MODULE 1:

Leadership in life science
Setting the scene with an exploration of the state of the life science ‘industry” and an introduction to leadership as a theoretical and practical phenomenon.

MODULE 2:

Sustainability

Understanding concepts within and around sustainability in a life science context, how we measure and report on sustainability and the future of pharma business model including the life science logic and life science dilemma.

DAY 2

MODULE 3:

Organizational structure and strategy
Understanding strategy and how it affects organizational work and structures. Strategy development in a partnership-based setting and leadership in an agile organizational transformation.

MODULE 4:

Supply Chain Management

Understanding how value is created across global supply chains and how to apply relevant supply chain strategies. Investigating the environmental aspect of supply chain decision making and the role of resilience in a global supply chain.

DAY 3

MODULE 5:

Innovation

Covering various approaches to innovation, product development, and organizational value from innovations. Introduction of the 5D paradigm, which includes drugs, devices, diagnostics, digital health and data. 

MODULE 6:

Data science and operational risk management

Covering big data analysis, data understanding, and data science strategy. Also covering business law, regulation, and compliance in areas such as patents and clinical studies, including crisis management and communication.

DAY 4

MODULE 7:

Business Models
Looking into various business models and their elements and interconnections. Presentation of the Business Model Canvas and how to work with elements that impact decision making, e.g. market situation, customers, and revenue models.

MODULE 8:

Governance, accounting, and finance
Introducing various governance systems and the role of a board. Covering important aspects such as financial statement analysis, economic control, cost analysis, funding of new projects, mergers and acquisition cases and more.