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121201 F. Hoffmann-La Roche AG

Internship/Thesis for PI SYM and SEEQ for Data Analysis(m/w/x)

Basel
Full-timeInternshipOn-site
AI/ML
Data Science

Optimizing alarm settings through multi-year dataset analysis from PISym and ServiceNOW at a global healthcare company. SEEQ experience a significant plus, Python scripting proficiency expected. Flexible hours, flexible start, and mentorship provided.

Requirements

  • Pursuing a degree in a relevant field or degree pursued not longer than 12 months prior to start date
  • Strong analytical and statistical skills
  • Familiarity with data analysis tools; experience with SEEQ is a significant plus
  • Proficiency in scripting or programming, ideally Python
  • Ability to work independently and understand complex data and system relationships
  • Proficiency in written and verbal English; German language skills advantageous

Tasks

  • Analyze multi-year dataset from PISym and related ServiceNOW tickets
  • Identify critical alarms and assess current alarm thresholds
  • Propose optimized alarm settings to reduce noise
  • Demonstrate success of optimization proposals using trending and reporting
  • Statistically evaluate and perform trend analysis on PISym data
  • Identify the top 10 recurring alarms or deviations
  • Utilize SEEQ for advanced analytics and Python integration
  • Simulate impact of alternative threshold values on alarms
  • Review ServiceNOW tickets to understand business impact of alarms
  • Compare optimization performance using classical and AI-driven methods
  • Create automated monthly reports to monitor system performance
  • Develop automated optimization proposals for alarm limits and delay times

Education

  • Currently in higher educationOR
  • Bachelor's degree

Languages

  • EnglishBusiness Fluent
  • Germanis a plus

Tools & Technologies

  • Python
  • SEEQ

Benefits

Flexible Working

  • Flexible working hours
  • Flexible start of the internship or thesis

Mentorship & Coaching

  • Mentorship and professional guidance
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