Business Analyst

Summary

• 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.

Key Competencies:

Required

• Demonstrated 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 & preclinical research (automation, , sample datarequest 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.

Ideal Candidates Would Also Have:

• 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.

Other Qualifications

• BS Degree in Life Science; an advanced degree (MS or PhD) is 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, and/or Spotfire.

• Familiarity/experience with one or more of the following: scripting language, scientific instrumentation (Mass-Spectrometers, Lab Automation, etc.).