Scientific Business Analyst

This individual will partner closely with scientists, medicinal chemists, research teams, and business stakeholders to gather requirements, document complex research processes, and drive data-focused solutions within a dynamic drug discovery environment.

Key Responsibilities

• Facilitate requirements gathering, workshops, and gap analysis sessions with scientists, chemists, and research stakeholders.
• Translate complex scientific and research workflows into clear business, functional, and technical requirements.
• Create and maintain process maps, user stories, business requirements documents, and supporting project documentation.
• Utilize Jira to manage requirements, track work items, support Agile delivery processes, and maintain project visibility.
• Support initiatives involving preclinical research data, including in vitro, animal study, PK/PD, and toxicology datasets.
• Partner with IT, data, and business teams to ensure successful implementation and adoption of solutions.
• Manage stakeholder communications across cross-functional scientific and technical teams.

Required

• 8+ years of Business Analyst experience.
• Demonstrated experience gathering requirements, conducting gap analysis, process mapping, and documentation.
• Experience working within Life Sciences, Biotechnology, Pharmaceutical, Drug Discovery, or Research organizations.
• Strong understanding of chemistry concepts and experience partnering directly with medicinal chemists, chemists, or therapeutic discovery research teams.
• Experience supporting preclinical research environments and scientific data initiatives.
• Understanding of:
  • In Vitro Research Data
  • Animal Study Data
  • PK/PD (Pharmacokinetic/Pharmacodynamic) Data
  • Safety and Toxicology Data
  • Non-GxP / Non-Regulated Research Environments
• Hands-on experience using Jira for requirements management, user story creation, backlog management, and workflow tracking.
• Strong stakeholder management skills with the ability to communicate effectively across scientific, business, and technical teams.