# Senior Scientist - Antibody Characterisation at LabGenius

LabGenius is hiring a Senior Scientist - Antibody Characterisation in London, United Kingdom. Level rates it Works on AI ●●●○; you can [apply on LabGenius](https://jobsbylevel.com/go/a10173d3-82b0-43f6-929b-9c6de1f23550?utm_medium=ai-agent).

AI Level 3, AI centrality 65 out of 100. London, United Kingdom.

## Details

- Company: [LabGenius](https://jobsbylevel.com/companies/labgenius)
- AI level: AI Level 3 (score 65 out of 100)
- Location: London, United Kingdom
- Posted: November 11, 2026
- Apply: https://jobsbylevel.com/go/a10173d3-82b0-43f6-929b-9c6de1f23550?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-scientist-antibody-characterisation-at-labgenius-515754

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## Description

At LabGenius Therapeutics ("LabGenius"), our mission is to discover the next generation of therapeutic antibodies by combining human and machine intelligence. To do this, we’ve pioneered the development of EVA™, state-of-the-art automated platform, enabling the closed-loop discovery of high-performing, non-intuitive antibody designs using proprietary, ML-grade datasets. For our wholly-owned therapeutic pipeline, we’re using our closed-loop discovery engine to establish a pipeline of highly selective T-cell engagers and ADCs for the treatment of solid tumours. LabGenius has raised >£55M and is backed by top-tier investors, including M Ventures, Octopus Ventures, LG Corp, Atomico, Kindred Capital, Lux Capital and Obvious Ventures amongst others. The company is headquartered in London (UK) where we’ve established a cutting-edge antibody engineering facility. The company is staffed by a multidisciplinary team of more than 50 scientists and engineers. You’ll be a pivotal member of the Antibody Engineering and Developability team, serving as a technical lead for antibody characterisation. This is a high-impact opportunity for a versatile protein scientist within our group, executing diverse assays and assisting in building a world-class biophysical characterisation platform from the ground up. Your primary mission is to ensure that our ML models are fed with high-resolution, high-quality developability and binding data. You won't just be running samples; you will be designing comprehensive workflows, utilising our internal BLI (Biolayer Interferometry) capabilities alongside UHPLC and stability assays while assisting in outsourcing mass spectrometry (MS) data analysis to transition our discovery pipeline from crude screening to clinical-grade lead optimisation. You’ll be a member of our wet-lab team, where you’ll ensure that the best binders also possess the biophysical properties required to become successful therapeutic products. You won't just be looking at how well an antibody binds; you’ll be stress-testing its fitness for clinical use, identifying liabilities like aggregation, instability, or poor solubility early in the pipeline. Whatever your previous experience includes, you’ll inject passion and energy into everything you do. You’ll enjoy multi-disciplinary work, and you’ll have an endless hunger for knowledge, learning, and growth; all the qualities LabGenius Therapeutics celebrates! Your role at LabGenius Therapeutics will be varied, with clear communication being critical to your day-to-day interactions with the team. Being able to integrate your workflow with other teams, along with the ability to share findings in an articulate manner, will help you to achieve success within this position. This position is a full time laboratory-based role. What you’ll do in this role Act as the central point of contact between protein production, discovery, and data science, ensuring robust characterisation of all candidates. Perform and/or interpret diverse analytical assays, including HPLC (e.g., SEC, HIC, IEX), mass spectrometry (MS) data analysis, thermal stability, and self-association studies to build a complete developability profile. Design and run high-resolution BLI screening campaigns to determine kon, koff, and KD for large panels of antibody candidates, as well as complex epitope binning and mapping studies. Partner with the Lab Automation team to integrate liquid handling with BLI and HPLC workflows, moving toward fully autonomous characterisation assays. Work closely with our Data Science team to translate raw biophysical readouts and sensorgrams into clean datasets for ML/AI predictive models. Design and implement automated biophysical screening assays (e.g., HT-protein stability, solubility, and self-association) using 96- and 384-well formats. QC analyse, interpret, and troubleshoot developability experiments working closely with other R&D teams. Conduct research in a self-directed manner, troubleshooting complex

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