Process Modeling and Analysis Co-Op

  • Opportunity Profile:
    • We are seeking a highly motivated Masters or PhD candidate for a six-month co-op starting in January 2019. The co-op will closely work with statisticians/scientists in Process Modeling and Analysis (PMA) to develop advanced statistical methods on analyzing the complex data for the organization of Manufacturing Science and Technology. Through this role, the co-op will gain knowledge on the application of data analytics to biological pharmaceutical manufacturing, exposure on the use of different analytical tools to analyze complex datasets within biological pharmaceutical manufacturing, and experience working in a diverse cross-functional team.

       
      Required skills:
       
      Major(s):         Statistics / Data Science / Chemical Engineering / Biological Engineering Industrial Engineering / Mechanical Engineering
      • Strong basic statistical analysis skills including Linear Model, Multivariate Analysis, Design of Experiments and Hypothesis Testing.
      • Strong data management/manipulation skills by using SAS, R and Excel.
      • Advance data analytics skills including Monte Carlo Simulation, Principle Component Analysis, Neural Network, and Support Vector Machine are preferred.
      • Biologics and Chemical engineering knowledge are preferred but not required.
      • Software: Microsoft Office, SAS and R required. Matlab or Python preferred.
      • Strong communication skills: Oral/Written
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