Plan and facilitate discovery workshops and interviews with scientists, laboratory SMEs, IT teams, and vendors.
Analyse and document current (As-Is) and future (To-Be) workflows across experiment planning and registration, ELN usage, assay setup, inventory management, sample and entity registration, plate-based workflows, laboratory automation, imaging, omics, quality control, and scientific data capture.
Elicit, analyse, and structure data, integration, governance, and non-functional requirements.
Conduct capability-gap and business-impact analysis.
Translate complex scientific workflows into clear processes and system requirements usable by engineering teams and vendors.
Produce clear, structured, and governance-ready documentation throughout the engagement.
Requirements
5+ years of experience in business analysis or similar analytical roles in life sciences, biopharma, or a laboratory environment.
A relevant degree in life sciences, chemistry, biology, or a related scientific discipline — combined with prior hands-on experience working in or alongside laboratory research teams.
Strong hands-on experience in As-Is / To-Be process mapping for complex scientific or laboratory workflows.
Experience in requirements elicitation, analysis, documentation, and traceability — able to produce specifications that development teams and vendors can act on directly.
Understanding of laboratory execution workflows including ELN, assays, automation, imaging, and omics — sufficient to map them accurately without losing scientific meaning.
Experience facilitating workshops with scientists, laboratory SMEs, IT teams, and vendors.
Experience analysing data, integration, governance, and non-functional requirements.
Experience conducting capability-gap and business-impact analysis.
Ability to produce clear, structured documentation suitable for governance and decision-making.