Data Scientist

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

• Financial

• Discretionary performance‑linked annual bonus
• A generous stock option plan
• 3x Salary Life Insurance with YuLife
• Health 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 bank holidays)
• Up to 20 days paid sick leave (including mental health days – no questions asked)
• 3 days paid emergency leave so it doesn’t eat into your relaxation time
• 1 week paid bereavement leave plus 1 day to attend a funeral
• 1 day paid for moving home

• Employee Assistance Programme including access to coaching and CBT sessions

• Weekly team lunches through Feedr.
• A programme of social events both company‑wide and within your own teams

Diversity & Inclusion

We believe that diversity makes for innovative, exceptional teams. We are an equal opportunity employer and do not discriminate based on gender, race, colour, religion or belief, national origin, age, sexual orientation, marital status, disability, or any other protected class. If you don’t feel like you meet every single requirement of this role, we still want to hear from you! We encourage you to apply, have a discussion with us about the role or others that we may have at LabGenius either now or in the future, together we can build more inclusive workplaces.