Job Description: Senior IT Business Analyst
Position Summary
We are seeking an experienced and self-driven Senior IT Business Analyst to serve as the IT Partner for our scientific and R&D functions, with a focus on bioinformatics, data science, and development science (experience with early discovery is a plus). Acting as the strategic bridge between IT and the business, this role works closely with scientific teams to understand their requirements and long-term plans, then translates them into an actionable IT roadmap, technology stack, and associated budget. The ideal candidate combines deep understanding of pharmaceutical R&D with strong IT and digital expertise, excellent communication and coordination skills, and the ability to independently manage multiple projects.
Key Responsibilities
Business Partnering & Demand Management
Work closely with business teams to understand their scientific workflows, business requirements, pain points, and long-term strategic plans
IT Strategy, Roadmap & Technology Stack
Define and evolve the technology stack for bioinformatics, data science, and development science domains (e.g., scientific computing, data platforms, analytics and AI tools, workflow and informatics systems)
Budget & Financial Planning
Develop and manage the IT budget related to the supported portfolio, including annual planning, forecasting, and investment prioritization
Project & Portfolio Delivery
Coordinate across IT teams (infrastructure, data, security, applications), vendors, and business stakeholders to ensure successful delivery
Qualifications & Skills
Required:
Bachelor's degree in Information Technology, Computer Science, Bioinformatics, Life Sciences, or a related field
Experience in the pharmaceutical industry combined with solid IT experience (e.g., IT business partnering, business analysis, or IT project delivery in a pharma/biotech environment)
Strong understanding of scientific and R&D domains, particularly bioinformatics, data science, and development science
Solid knowledge of IT infrastructure, cloud platforms, data platforms, and AI/analytics technologies
Preferred:
Certifications such as PMP, ITIL, CBAP, TOGAF, or cloud certifications (e.g., AWS)
Key Competencies
