Discovery Research Domain Analyst, IT Business Analyst

Key Responsibilities

• Work with Research stakeholders to understand scientific data workflows, capture needs, and document business requirements with guidance from senior team members.
• Translate scientific needs into clear user stories, acceptance criteria, process notes, and requirements for IT and engineering teams.
• Support demand intake and analysis by mapping workflows, identifying friction points, and escalating risks or open questions to product and business analysis leads.
• Represent researcher context in product discussions by sharing observations, clarifying use cases, and helping validate whether delivered capabilities meet defined needs.
• Collaborate with Data Engineers to support data collection, testing, validation, issue tracking, and continuous improvement of data products.
• Maintain field-level metadata, business glossaries, and documentation that support FAIR-aligned practices.
• Support alignment of identifiers, terminology, and definitions across MI data sources to improve downstream integration and analytics.
• Participate in stakeholder conversations, summarize feedback, clarify expectations, and help build trust in data product capabilities.
• Stay aware of relevant industry practices and emerging approaches to scientific data challenges, sharing observations with the team as appropriate.
• Communicate clearly with scientific and technical audiences, escalating ambiguity and summarizing decisions, risks, and follow-ups.
• Demonstrate a growth mindset and ownership for developing business analysis, data literacy, AI/ML awareness, and Pharmaceutical R&D knowledge.

Qualifications

• B.S. or M.S. in a relevant life sciences, informatics, data, or technical discipline; advanced degree a plus.
• Practical experience or strong academic grounding in early life sciences domains, with interest in Molecular Invention research areas such as Biologics, Sequencing, Protein Engineering, Antibody Discovery, Chemistry, or related fields.
• Familiarity with Research workflows in pharmaceutical or biotech settings.
• 2+ years of experience in IT, informatics, data analysis, business analysis, or a scientific data-focused role; relevant graduate research or internship experience may be considered.
• Ability to collaborate effectively with scientific and technical teams while following established processes and seeking guidance when needed.
• Analytical problem-solving skills with the ability to organize information, identify patterns, document issues, and recommend practical next steps.
• Ability to learn new tools and adapt in a dynamic environment.
• IIBA Certification or similar Business Analysis Certification is a plus.

Desired Skills

• Strong commitment to a career in technology with a passion for healthcare.
• Analytical thinker with strong communication and collaboration skills, able to effectively communicate complex ideas and concepts.
• Good stakeholder engagement skills, with the ability to listen, ask clarifying questions, document needs, and build alignment in straightforward to moderately complex situations.
• Curious problem-solver who contributes ideas for improving workflows, documentation, data quality, and user experience.
• Familiarity with data product development, data modeling, data governance, analytics, or modern research data platforms.