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Formulation Scientist - Antibody

Job in Slough, Berkshire, SL1, England, UK
Listing for: Planet Pharma
Full Time position
Listed on 2026-09-01
Job specializations:
  • Research/Development
    Pharmaceutical Science/ Research, Research Scientist, Biotech Research, Drug Discovery
Salary/Wage Range or Industry Benchmark: 42000 - 62000 GBP Yearly GBP 42000.00 62000.00 YEAR
Job Description & How to Apply Below

Location: EU-based (right to work required)

About the Opportunity

Our client, a leading global biopharmaceutical organisation, is seeking a talented laboratory-based scientist to join their Injectable Formulation Development team. This group plays a pivotal role in advancing biologics programmes, providing robust formulations to support the full development lifecycle—from early toxicology studies through to late-stage clinical trials. The team is also committed to innovating new formulation technologies to enhance the stability of both conventional and next-generation antibody formats.

This is an excellent opportunity to contribute to high-impact therapeutic development within a collaborative, cross-functional environment.

Key Responsibilities
  • Conduct analytical experiments and enabling studies to support non-clinical and clinical development.
  • Contribute to pre-formulation and formulation activities, including lab set-up and maintenance of technical resources.
  • Prepare scientific documentation such as protocols and reports, drawing on a strong understanding of biochemical and biophysical degradation pathways in antibody-based molecules.
  • Present experimental findings to project teams and stakeholders.
Skills & Experience
  • Master’s degree (or equivalent) or PhD in Biotechnology, Biochemistry, Biology, or a related discipline.
  • Minimum of 3 years’ hands-on laboratory experience.
  • Strong technical expertise in protein/antibody analytical methods such as HPLC/UPLC, iCE, UV spectroscopy, DLS, CGE, rheology, and sub-visible particle analysis.
  • Experience in formulation development and/or laboratory automation is advantageous.
  • High level of numeracy with the ability to critically interpret data.
  • Strong organisational and communication skills, with the ability to thrive in a dynamic environment with shifting priorities.
  • Proven ability to work effectively within a team.
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