Data Scientist in London

At LabGenius, our mission is to accelerate the discovery of next‑generation therapeutic antibodies. To do this, we’ve pioneered the development of EVA™, a smart robotic platform that’s capable of designing, conducting and, critically, learning from its own experiments. For our wholly‑owned 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 >£58M and is backed by top‑tier investors, including M Ventures, Octopus Ventures, LG Corp, Atomico, Kindred Capital, Lux Capital and Obvious Ventures among others. The company is headquartered in London (UK) where we’ve established a state‑of‑the‑art antibody engineering facility. The company is staffed by a multidisciplinary team of more than 50 scientists and engineers.

What You’ll Do In This Role

• Provide end‑to‑end data science support for at least one therapeutic asset as we aim to progress from lead discovery all the way to clinical trials.
• Drive the “design” and “learn” cycles of the “design‑build‑test‑learn” that forms the basis of our therapeutic antibody optimisation cycles at LabGenius, including the proposal of candidates for rapid experimental characterisation.
• Represent data science in highly cross‑functional teams, including wet lab scientists (lead optimisation, antibody engineering, assay, and automation), scientific program leads, and software developers.
• Onboard rigorous data pipelines, analyses, and visualisations for experiments that allow us to better understand the therapeutic potential of our antibodies.
• Enable a data‑first ecosystem at LabGenius through your proficiency at processing complex datasets and extracting key insights.

What We’re Looking For

• Experience working on challenging biomedical data science problems, including the statistical analyses and visualisation of experimental data.
• Advanced applied statistics e.g. Bayesian statistics, hierarchical / mixed‑effects models, etc.
• Experience with putting data analysis pipelines and code into production, including proficiency with python, cloud computing, git, and SQL.
• Biological domain experience, ideally including experience working with the sequence or structural data for antibodies or other proteins.
• Ability to work collaboratively in highly cross‑functional teams, especially with wet lab scientists and software engineers.
• Advanced education (MS or PhD) in a relevant domain (e.g. biomedical data science, biostatistics).

What You’ll Receive From Us

• Discretionary performance‑linked annual bonus
• A generous stock option plan
• 3x Salary Life Insurance with YuLife
• Shield Cash Back Plan on day‑to‑day health expenses
• 5% pension, with an additional top‑up on tax savings from us
• Free Will‑writing Service
• Private Medical Insurance, including dental and optical (currently with AXA)
• Discounted gym membership through either AXA or HealthShield
• 24/7 access to GP Services
• Access to the Cycle to Work scheme: to make your commute cheaper, healthier and a whole lot greener
• Easy access to the on‑site gym and climbing wall to break a sweat or indulge your inner monkey available at competitive rates
• 25 days annual leave (plus the statutory holidays)