Job Title: Senior Research Scientist – Protein Scientist

Location: Cambridge, UK

Salary: Competitive with excellent benefits!

Introduction to the Role:

Biologics Engineering Function in the UK is based at our new state-of-the-art Discovery Centre (DISC) located on the Cambridge Biomedical Campus. Biologics Engineering is responsible for the discovery and optimisation of biological candidate drugs to support all therapy area drug discovery pipelines and for the development of in-house biologics discovery platforms and novel drug modalities to support future drug discovery efforts.

About the Role

We areseekinga highly motivated Senior Scientist to join Biologics Engineering within the Protein Sciences & Analytics (PS&A) team, supporting the generation ofBioconjugates.AstraZeneca are looking to strengthen capability in conjugation workflows and enabledata-drivenoptimisationof bioconjugate design and production.

The successful candidate will combine hands-on conjugationexpertisewith strong analytical and data science capabilities, working at the interface of protein science, chemistry, and computational analysis.

Accountabilities:

• Express, purify, and characterize antibodies and protein constructs (IgG, VHH, fusion proteins) to support conjugation workflows.

• Independently perform bioconjugategeneration using a variety ofconjugation strategies–for example,lysine/cysteine chemistries and enzymatic methods.

• Execute analytical QC for conjugates and proteins usingSEC, HIC, RP‑HPLC, LC‑MS, and SDS‑PAGE; ensuredata integrity andtimelyreporting.

• Support linker‑payload and conjugation route development by preparing high‑quality protein starting materials and performing small‑scale conjugation trials.

• Contribute to functional assays and collaborate with cell biologyandbiologicsprofiling teams for downstream evaluation.

• Maintainaccurateelectronic lab notebooks, SOP compliance, and contribute to continuous improvement initiatives in workflows and automation.

• Present data at team meetings and contribute to technical reports for governance and project progression.

• Mentor junior staff and support training in protein handling and QC techniques.

Main Duties & Responsibilities

• Deliver purified proteins and conjugates to specification and timelines for multiple pipelineand technology projects for bioconjugates.

• Troubleshoot purification and conjugation challenges; propose solutions to improve yield and quality.

• Apply biophysical and biochemical characterization to assess protein quality, stability, andconjugationreadiness.

• Collaborate closely with conjugation scientists, analytical teams, and project leads to ensure seamless integration of protein and conjugation workflows.

• Uphold data integritystandards; contribute to lab organization and process optimization.

Education & Experience Requirements

• PhD in Biochemistry, Structural Biology, ChemicalBiologyor related discipline.

• Strong foundationin protein expression, purification, and characterization; experience with bioconjugation is highly desirable.

• Familiarity with analytical techniques (SEC, HIC, RP-HPLC, LC‑MS) and data interpretation.

Required Skills

• Hands‑on experience in protein biochemistry: expression systems (mammalian, bacterial), purification (affinity, ion exchange, size exclusion), and QC.

• Ability to learn and apply bioconjugationchemistriesand workflows.

• Competence in analytical characterization and troubleshooting.

• Experience with scientific databases,e.g.GendataBiologics.

• Strong organizational skills, attention to detail, and ability to manage multiple tasks in a fast‑paced environment.

• Familiarity with high‑throughput, automated purification systems.

• Effective communication skills for cross‑functional collaboration and data presentation.

Desired Skills

• Experience with structural biology or mechanistic studies of protein complexes.

• Directexperience with bioconjugates, for example, antibody-drug and antibody-peptide conjugates (ADCs and APCs).

• Exposuretocomplex biologicsformats and developability assessments.

• Knowledge ofAI/ML-based approaches to protein design.

• Experience with scripting or data analysis tools (e.g.