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Business Analyst

Job Post Index 22783A-Sy##
Location Lawrenceville, NJ
Description: Description
  • Conduct Gap analysis, map business workflow/data flow to find a root cause, and translate business problems for technical needs.
  • Develop solid business cases to drive value creation through alignment to business objectives and priorities, business process analysis, and information flow analysis.
  • Elicit and translate complex business requirements into technical artifacts, including user stories, wireframes, prototypes, information flow diagrams, and process maps.
  • Work with stakeholders to identify qualitative improvements and articulate quantitative benefits of implementing solutions.
  • Collaborate with IT project management, delivery teams, and scientists for the delivery of solutions.
Skills: Qualifications
  • BS Degree in Life Science
  • Advanced degree (MS or PhD)  preferred
  • Pharmaceutical/Biotech industry background with at least 5+ years of lab experience, post-grad.
  • Information Technology background with at least 5+ years of experience in IT; roles involving business analysis, data analytics, and/or informatics.
  • Development or end-user experience with various industry-standard applications such as:
    • MS Excel/VBA
    • GraphPad Prism
    • Genedata
    • Geneious for sequence alignment
    • LIMS
    • Spotfire.
  • Familiar with 1 or more the of the following: scripting language, scientific instrumentation (Mass-Spectrometers, Lab Automation, etc.). Knowledge of key business analysis skills, including stakeholder analysis, SWOT analysis, Gap analysis, root cause analysis, business architecture.
  • Ability to build productive, trusted relationships with stakeholders at all levels and IT staff.
  • Ability to translate scientific business needs into compelling business cases and rational solutions, which leverage enterprise technologies and align with roadmap.
  • Strong domain expertise in the application of IT in Biotherapuetics and preclinical research (automation, , sample \data\request management) including a broad understanding of typical scientific processes, data flow and instrumentation.
  • Good collaboration and communication skills
  • Ability to organize and present ideas in a convincing and compelling manner
  • Ability to communicate effectively with both technical and non-technical teams.
  • Knowledge of Biotherapeutics research and development, and Pharmaceutical and related industries. Molecular Biology, and/or Protein Engineering experience preferred.
  • Knowledge of Pharmaceutical/Biotech research infrastructure and operations.
  • Proficient with an agile mindset
  • Good knowledge of Bio-therapeutics R&D and methods used in immunization, antibody screening, protein engineering, protein expression, purification and characterization and identification

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