Analyzing product cost structures and benchmarking for luxury watch manufacturing. Industrial engineering or cost analysis experience required. 6-month internship program.
Deploying Master Data governance for watchmaking, defining standards and RACI matrices. Academic or internship experience in data or supply chain needed. 6-month fixed term, English and French fluency.
Developing live production dashboards and data-driven tools for watchmaking operations. Academic or internship experience in data engineering or application development required. Hybrid work, 4-day work week.
Structuring quality KPIs across watchmaking value chain. Academic or internship experience in quality, industrial engineering, or data analysis required. 4-day work week, company car for private use.
Structuring quality performance KPIs across watchmaking value chain. Academic or internship experience in quality, industrial engineering, or data analysis required. Daily lunch provided, 4-day work week.
Deploying Master Data governance for watchmaking, defining standards and RACI matrices. Academic or internship experience in data or supply chain needed. Application accepted without meeting all criteria.
Analyzing MES data for luxury watch production performance. Lean methodologies and production KPI knowledge required. On-site workshop with 20 employees.
Updating legacy calibration documents and creating new WIs/SOPs for pharmaceutical operations. Technical discipline formation with quality or metrology domain experience required. Internship at a global biopharmaceutical company.
Emulating target trials using real-world datasets for global clinical trials. Master's or Ph.D. in statistics/epidemiology required; R/SAS proficiency preferred. Direct involvement with a global clinical trials team, gaining real-world data analysis experience.
Constructing knowledge graphs and designing query interfaces for clinical trial data at a biotech firm. MSc in Data Science or similar, with strong Python proficiency, required. Integrating machine learning techniques.
Qualification and cleaning validation projects within a pharmaceutical MS&T team, applying DMAIC for process improvement. Master's or PhD student in Pharmaceuticals, with solid oral dosage forms knowledge, required. Exposure to global clinical trial context.