Senior Protein Scientist / Antibody Engineer

About LabGenius

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.

Role Overview

You’ll be a pivotal member of the wet-lab team, serving as the technical lead for antibody binding characterization. This is a high-impact opportunity for a kinetics expert to not only execute assays but to build a world-class antibody binding platform from the ground up.

Your primary mission is to ensure that our ML models are fed with high-resolution, high-quality kinetic data. You won't just be running samples; you will be designing the workflows—using SPR (Surface Plasmon Resonance) and BLI (Biolayer Interferometry)—to transition our discovery pipeline from crude screening to clinical-grade lead optimization.

You’ll be a member of our antibody developability 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.

Key Responsibilities

• Design, implement, and "own" our internal antibody binding platform, selecting the best-fit instrumentation (e.g., Biacore, Octet,) to scale our characterization capabilities.
• Lead high-resolution kinetic screening campaigns to determine kon, koff, and KD for large panels of antibody candidates.
• Execute complex epitope binning and mapping studies to ensure diverse target coverage and support intellectual property filings.
• Partner with the Lab Automation team to integrate liquid handling with BLI workflows, moving toward fully autonomous binding assays.
• Work closely with our Data Science team to translate raw sensorgrams into clean datasets for ML/AI predictive models, ensuring our in silico scoring is grounded in precise physical measurements.
• Design and implement automated biophysical screening assays (e.g., HT-protein stability, solubility, and self-association) using 96- and 384-well formats
• Analyse data from high throughput screening and work with our data science team to feed biophysical "wet-lab" data into predictive models (ML/AI) for in silico developability scoring.
• QC analyse, interpret and troubleshoot developability experiments working closely with other R&D teams.
• Conduct research in a self-directed manner, troubleshooting complex binding profiles (e.g., multi-phasic binding or non-specific interactions) to provide actionable insights to the engineering team.
• Keep excellent experimental/data records for cross-functional teamwork and project learnings.
• Organise and manage your time effectively, balancing competing priorities based on business goals and the focus of your wider team, to deliver to timelines where others are relying on you.