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Consultant Life Sciences Digital Supply And Manufacturing - Studentjob.ch

Job in Zürich, 8058, Zurich, Kanton Zürich, Switzerland
Listing for: Jobster
Seasonal/Temporary position
Listed on 2026-01-01
Job specializations:
  • IT/Tech
    Data Science Manager, Data Analyst
Salary/Wage Range or Industry Benchmark: 80000 - 100000 CHF Yearly CHF 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Location: Zürich

Consultant Life Sciences Digital Supply and Manufacturing - Studentjob.ch

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Consultant Life Sciences Digital Supply and Manufacturing

Location:

Zurich/Basel

Work Pattern Percentage: 80% - 100%

Are you passionate about shaping the future of supply chains? Ready to dive into cutting‑edge technology and make a real difference for global clients?
We are looking for a Consultant to strengthen our Life Sciences Supply Chain & Network Operations team. The role focuses on improving pharmaceutical, biotech and medtech manufacturing and supply operations, and on designing and implementing digital and AI‑enabled solutions across the value chain.

What to Expect
  • Opportunity to work with leading pharmaceutical, biotech, and medtech companies on their most critical supply chain and network strategy challenges
  • Exposure to cutting‑edge topics including supply chain digital transformation, advanced therapies, and resilience strategies
  • A collaborative, high‑performance consulting environment with clear career progression opportunities
  • A vibrant, supportive team that's well connected across EMEA and globally
  • Exposure to end‑to‑end supply chain transformation projects – from strategy and design to hands‑on implementation
  • Access to extensive internal and external training programmes to boost your skills and career
  • The freedom to explore and develop your own ideas through research, PoVs, or client projects – your growth is in your hands
  • Career progression opportunities aligned with your ambitions and interests
  • A supportive environment where your input is heard, your ideas are taken seriously, and your growth is encouraged
How you can make an impact

Project delivery: map and analyse end‑to‑end processes across manufacturing and supply operations, identify pain points and improvement levers, support the design and implementation of digital and data solutions, contribute to AI‑ and analytics‑enabled use cases, assess technology landscape and vendors' capabilities, translate complex operational and technical topics into clear management‑ready value presentation and recommendations. Prepare and facilitate client workshops, interviews and working sessions with stakeholders from manufacturing, quality, supply chain, finance and IT/digital, build strong working relationships with client counterparts at operational and middle‑management level.

Contribute to practice and business development including proposals, RFP responses and client presentations on manufacturing, digital operations and resiliency topics, support the development of offerings and methodologies, help to develop thought leadership (articles, conference materials, internal eminence) on emerging trends in life sciences operations and digital / AI. Contribute to an inclusive, high‑performing team culture.

Who we are looking for
  • Master's degree in engineering, life sciences, pharmacy, data science, operations research or a related discipline
  • 1‑2 years of experience in pharma / biotech / medtech supply chain or manufacturing operations, or in management consulting with a clear focus on these areas
  • Demonstrable responsibility for project/workstream delivery
  • Solid understanding of GMP/GxP environments and core pharma operations concepts such as manufacturing processes, QA/QC, batch release, tech transfer, external manufacturing
  • Exposure to digital and data topics in operations, and supply / shopfloor / Quality systems
  • Understanding of data platforms, data integration or reporting / visualisation solutions
  • Professional fluency in English, in addition German and/or French is an advantage
Desired additional skills and profile
  • Demonstrated interest or practical exposure to AI / advanced analytics applied to operations
  • Strong analytical and problem‑solving skills
  • Structured thinking and the ability to develop clear, compelling, and actionable messages for senior stakeholders
  • Confident communicator, able to facilitate discussions in cross‑functional and cross‑cultural settings
  • Willingness to travel within Switzerland and abroad as required by…
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