Senior Scientist - Histology

This is an exciting fixed-term opportunity to join a pioneering biotech focused on next-generation immunotherapies. You will work at the heart of cutting-edge science, supporting programmes that aim to transform treatment outcomes for patients with solid tumors. If you thrive in a collaborative, fast-paced environment and have experience in ISH, IHC, IF, and molecular biology techniques, this role offers an engaging chance to contribute to ground-breaking discoveries.

The Employer

This expanding biotech is dedicated to unlocking novel cancer-specific targets through unique antigen discovery platforms. Their mission is to develop innovative therapies that harness the power of the immune system to fight cancer. Backed by world-class investors and equipped with state-of-the-art facilities in Oxford, the company offers an inclusive culture that values curiosity, courage, and scientific excellence. This is an opportunity to join a passionate team making a real difference in oncology research.

Qualifications & Experience

• PhD in Molecular Biology, Cancer Biology, Immunology or related field, or equivalent industry experience
• Hands-on expertise in ISH, IHC, IF and tissue handling (FFPE and/or fresh frozen)
• Experience with image analysis tools and molecular biology methods (e.g., RT-qPCR)
• Strong data interpretation and communication skills

Responsibilities

You will play a critical role in validating novel targets using both molecular and tissue-based approaches:

• Perform and optimise tissue-based assays (ISH, IHC, IF)
• Support RT-qPCR and related workflows
• Analyse and interpret high-quality scientific data
• Ensure accurate documentation and knowledge transfer
• Collaborate across Discovery, Translational Research and Preclinical projects
• Troubleshoot assays and contribute to new methods development
• Engage with CROs for external studies when needed

Skills / Technical Competencies

• Advanced tissue-based assay optimisation
• Molecular biology techniques and data analysis
• Familiarity with imaging and statistical analysis tools

Nice to Haves

• Experience in oncology or biomarker discovery
• Previous work in biopharma or translational research
• Knowledge of CRO collaborations