LabGenius

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 amongst 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. As a Senior Software Engineer at LabGenius, you will collaborate with our talented team of scientists, data scientists and software engineers to deliver our ambitious internal and partnered drug discovery programmes, helping us build a future where AI rapidly engineers novel, life-enhancing biotherapeutics. You will do this by building tools and services which automate experiments and process scientific data at scale. What you'll do in this role Work with our Data Scientists to productionise our machine learning drug discovery platform Lead the design and build of software solutions to help our wet lab scientists generate high quality results Configure, maintain and build integrations for our lab information management system (Benchling) Work closely with lab and data scientists to understand their problems and offer solutions Use Google Cloud Platform to deploy, manage and secure applications and data. Work to maintain and improve the quality of our software, exemplifying best practices for testing, code review, security, documentation, and architecture. What we're looking for Background in a scientific field (via education or experience) CI/CD pipeline familiarity UI development using React and TypeScript/JavaScript (preferred) Exposure to LIMS/ELN systems such as Benchling (preferred) Strong data handling and analytical capabilities Ability to work independently and collaborate effectively Interest in molecular biology, protein engineering, and lab automation What you'll receive from us Aside from being part of our brilliant, purpose-driven team, you'll also enjoy: 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 Health 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 Time-Off 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 Wellbeing Employee Assistance Programme including access to coaching and CBT sessions Team-building 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.