You will be...

• Leading high-value evidence studies from initial scientific question through to final reporting.
• Designing experimental protocols, DoEs, sample matrices, controls, as well as robustness, stress, and comparator studies for priority MIRA workflows.
• Planning and analysing studies in biologics applications, including formulation analytics, excipient quantification, polysorbate analysis, protein concentration and structure, UF/DF, as well as stability and release-like workflows.
• Evaluating MIRA results against orthogonal and reference methods such as HPLC/UPLC, UV-Vis (A280), CD, pH/osmolality, CE, DLS/MALS, LC-MS, and external laboratory data.
• Analysing MIR/FTIR spectral and reference data to assess performance, reproducibility, robustness, uncertainty, and method limitations.
• Collaborating closely with Product and Data Science teams to translate evidence into improvements in instruments, software, models, and workflows.
• Preparing high-quality documentation, including protocols, study reports, evidence packages, application notes, technical notes, SOPs, and claim-support materials.
• Supporting customer-proof activities for validated workflows while maintaining a focused, evidence-driven intake approach.
• Coordinating external reference analytics when required.
• Contributing to the development of a scalable lab operating model ensuring every major claim is backed by defined protocols, reports, reference methods, and clearly stated limitations.
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You're a good fit for us if...

• You bring solid experience in pharma or biologics, which is essential for this role.
• You have several years of industry experience in pharma, biotech, CDMO, or related areas such as analytical development, QC, process analytics, formulation development, or biologics characterisation.
• You have hands-on experience working with biological or biopharmaceutical samples, including proteins, monoclonal antibodies (mAbs), bispecifics, ADCs, peptides, AAV/pDNA, or formulated drug products.
• You possess a strong understanding of analytical method development, including qualification, validation, transfer, troubleshooting, and documentation.
• You are able to independently design experiments, including defining sample matrices, controls, replicates, acceptance criteria, and statistical analysis plans.
• You have strong data analysis skills and can clearly interpret and communicate complex experimental results.
• You are familiar with GMP/GxP environments, including data integrity principles, SOPs, change control processes, deviations, and ICH-style approaches to analytical development and validation.
• You demonstrate excellent scientific writing skills in English.
• You hold a degree in analytical chemistry, biochemistry, biotechnology, pharmaceutical sciences, biophysics, or a