Downstream Manufacturing Engineering Intern

  • Opportunity Profile:
    • Company:       
      At Bristol-Myers Squibb, we are a team dedicated to discovering, developing and delivering innovative medicines that help patients prevail over serious diseases. Our commitment is to foster a globally diverse and inclusive workforce with a high-performing culture that is agile, entrepreneurial and accountable.  This enables our business strategy while encouraging excellence, growth, achievement, innovation and a balance between our personal and professional lives. 
       
      By combining the reach and resources of a global pharmaceutical company with the can-do spirit and agility of a biotechnology company, we are becoming a leader for the future – a next-generation BioPharma leader. 
       
       
      Division: Biologics Global Product Development and Supply (GPS) Syracuse, New York
      Downstream Manufacturing Engineering
       
      Requirements:
      • Must be enrolled in school the semester of and/or during the assignment, as well as the semester following the assignment, with a 3.0+ GPA
      • Must be available to work full-time (40 hours/week) from June 1, 2020 - mid August 2020
      • Qualified candidates will have completed sophomore, junior, senior or PhD level coursework towards a Biology, Chemistry, Engineering or related coursework
      • Demonstrated problem solving ability, interpersonal skills, and oral and written communication skills.
      • Technical writing ability required, as well as expertise in Microsoft Word, Excel and PowerPoint and the ability to perform statistical data analysis.MS Visio experience preferred.
      • Previous work experience in pharmaceuticals, biotechnology, or a related industry preferred.
      • Work Environment: This position is an office-based position, supporting manufacturing operations, which requires appropriate levels of personal protective equipment (PPE) when in the manufacturing area. This position is based indoors and will be working primarily with others, but also independently at times.
      • Physical Demands: Frequent repeated motions such as pipetting, lifting, bending, twisting, squatting, crouching, kneeling, climbing on step-stools, and reaching may be required. This role may also require frequent unassisted lifting (not to exceed 50 lbs). Repetitive use of arms/hands/wrists and grasping required. Office based work requires sitting and frequent use of computers. Vision (acuity, color-correction allowed) required for interpretation of laboratory results.
         
      Required Skills:
      The ideal candidate will have:
      • Strong analytical, interpersonal, communication, organization, technical writing, and project management skills, strong attention to detail
      • Demonstrated ability to present ideas, issues, and observations into a clear and useful format, and balance several projects in a fast-paced team environment
      • Capability to collect, analyze, and integrate information by leveraging appropriate systems technology including MS Word, Excel, and PowerPoint
      • Understanding of Lean Manufacturing principals is required
      • Base level statistical analysis.
       
       
      Project Description:
      1. Support commercial process equipment installation and qualification.
      2. Develop visual learning content for document and process simplification.
      3. Support electronic format initiatives for paper reduction.
      4. Support buffer vessel installation, qualification and mixing validation.
       
      Key Deliverables at Project Completion:
      • Develop protocols, execute studies, design process equipment, and summarize findings in a final report.
      • Interns are expected to present the results from their specific assignments at the conclusion of the internship via a poster presentation to colleagues and a departmental presentation
       
      Key Learnings:
      Business process development skills, process modeling expertise, business case development and presentation. Applications of Lean methodologies, statistical analysis and process optimization.
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