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20206030 Fresenius Kabi SwissBioSim GmbH

CMC Statistics Intern(m/w/x)

Eysins
Full-timeInternshipOn-site
AI/ML
Data Science

Advanced kinetic modeling for stability analysis in biosimilar CMC development. Master's in statistics, biostatistics, or data science required. Hands-on experience with R, Python, and machine learning algorithms.

Requirements

  • Master's program or equivalent in statistics, biostatistics, or data science
  • English oral and written; French would be an asset
  • Knowledge of biotech/pharma and high-level drug development process or high interest in scientific area
  • Knowledge of commonly used statistical methods: Anova with fixed or random effects, linear regression, ancova, non-linear models, R programming, knowledge in machine learning and model selection
  • Team player; interest to interact with scientists
  • Proactive and flexible mindset
  • Autonomy
  • Good communication and presentation skills
  • Skills with MS Office

Tasks

  • Code using R and Python
  • Conduct hypothesis testing
  • Perform linear and non-linear modeling
  • Utilize advanced kinetic modeling for stability analysis
  • Implement supervised and unsupervised machine learning algorithms for biosimilar CMC development
  • Report to supervisor and adhere to the plan
  • Prepare presentations for scientists
  • Ensure data integrity management
  • Apply guidelines and procedures related to biosimilar development
  • Research bibliography and literature on relevant topics
  • Familiarize with relevant guidance
  • Provide statistical support for labs
  • Design experiments and qualify methods
  • Assist with tech transfer
  • Support daily CMC statistical activities

Education

  • Currently in higher education

Languages

  • EnglishBusiness Fluent
  • FrenchBasic

Tools & Technologies

  • R programming
  • MS Office
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