Location: UK - Hertfordshire - Stevenage
Job Title: Principal Scientist, Biophysics
We offer a competitive salary, an annual bonus based on company performance, healthcare and wellbeing programmes, pension plan membership, and shares and savings programme. Our Performance with Choice programme offers a hybrid working model.
In this role you will
* Design, plan, and execute experiments using biophysical techniques such as Surface Plasmon Resonance (SPR), Biolayer Interferometry (BLI), size exclusion chromatography (SEC), hydrophobic interaction chromatography (HIC) and differential scanning fluorimetry (DSF) throughout the large molecule discovery process.
* Analyse, interpret, and report complex biophysical data, ensuring high standards of scientific rigour and reproducibility.
* Lead work to develop and optimise experimental protocols to improve throughput and data quality. Drive data handling strategies, including effective storage, management, and reuse to maximise research impact and compliance with data integrity standards.
* Collaborate cross-functionally with colleagues in protein engineering, discovery biology, and informatics to deliver integrated project solutions.
* Present findings to internal teams and external stakeholders; contribute to scientific publications and conferences as appropriate.
* Mentor junior scientists and contribute to the continuous improvement of laboratory best practices.
Basic Qualifications & Skills
* PhD (or equivalent experience) in Biophysics, Biochemistry, or a related discipline.
* Significant hands‑on demonstratable expertise with SPR or similar technologies (e.g., Biacore, Octet, Carterra), and epitope binning technologies for characterisation of protein‑protein and/or protein‑antibody interactions.
* Experience working with high‑throughput screening and automation platforms in a fast‑paced environment in an industry or a relevant research environment.
* Demonstrated ability to analyse, interpret, and visualise complex datasets; proficiency in data management and reuse strategies.
* Strong understanding of molecular interaction theory and its application to drug discovery.
* Demonstrated experience leading matrix teams.
Preferred Qualifications & Skills
* Project leadership experience.
* Familiarity with AI/ML tools for data analysis.
* Track record of scientific publications or patent filings.
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