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.

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As a Principal Data Scientist at LabGenius, you will be a key individual contributor and manager of a team of talented data scientists reporting into the VP of Computational Sciences & Engineering

Our Data Science and Machine Learning team pushes the boundaries of therapeutic antibody optimisation by integrating novel DS/ML tools with our leading experimental laboratory. We oversee the design and optimisation of both monovalent VHHs and multivalent T-cell engagers, including the analyses of experimental data and subsequent ML modelling. At LabGenius, these models allow us to design molecules with previously unexplored therapeutic potential.

What you’ll do in this role

Team Management & Development:

• Manage a team of data scientists, providing leadership, direction, and mentorship to ensure continuous growth and development. You will help team members enhance their technical skills, stay updated on the latest advancements in data science, and foster a culture of innovation and collaboration.

• Set clear goals and expectations for the team, regularly monitor progress, and provide constructive feedback. You will lead performance reviews, ensure alignment with organisational objectives, and support career development by identifying opportunities for training, upskilling, and leadership roles.

• Participate in hiring efforts to attract top talent and build a high-performing data science team. You’ll play a key role in defining the team structure and ensuring the right mix of skills to meet the evolving needs of the organisation.

Strategic Leadership & Project Management:

• Collaborate closely with the VP of Computational Sciences & Engineering to define the long-term vision and direction for data science within the organisation.

• Oversee multiple data science projects simultaneously, focusing on therapeutic program delivery. You will ensure timely execution, effective resource allocation, and alignment with broader project objectives.

• Contribute to strategic planning, setting key objectives, and ensuring alignment between data science initiatives and the company's broader goals, such as leveraging machine learning and AI for competitive advantage.

• Help translate business needs into data-driven strategies and oversee their execution.

Cross-Functional Collaboration and Subject Matter Expertise:

• Build strong relationships with stakeholders across various functions, including wet lab, software, business development, and communications. You'll work closely with these teams to ensure data science is seamlessly integrated into the organisation, translating complex technical insights into clear, actionable information for senior management and other departments.

• Serve as the data science expert for the organisation, offering insights and mentorship to both team members and other business.

Innovation and Best Practices:

• Stay at the forefront of new methodologies and tools in data science. You will lead the development of cutting-edge solutions, introducing advanced machine learning techniques and statistical models to address complex challenges, particularly in therapeutic and precision medicine applications.

• Establish and enforce data science best practices throughout the organisation. This includes standards for reproducibility, transparency, and ethical data use, while ensuring high-quality outputs and consistent approaches across all projects.

What we’re looking for

• An experienced manager, with demonstrable experience of developing and leading high performing teams. Experienced in supporting the professional development of direct reports, providing guidance, feedback and opportunities for growth, while also fostering a culture of accountability.

• A subject matter expert in biomedical data science, who maintains a deep understanding of the evolving technical and industry landscape. Experience in therapeutic antibody discovery is preferred.

• An implementation pioneer whose individual work consistently sets the standard for rigorous data science, including high quality code, optimal use of compute infrastructure, and clear data visualisations.

• A collaborator who builds and maintains strong relationships with cross-functional teams and senior management, fostering a collaborative and inclusive environment that values diverse perspectives and expertise.

• Advanced education (MS or PhD) in a relevant domain (e.g. biomedical data science, biostatistics) plus significant industry experience.

• An ability to be in the office a minimum of 3 days per week.

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 🤝

• Regular 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 are prioritising management skills for this position so we encourage you to apply even if you don't meet all the technical requirements of the role. We welcome having 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.

Department

Data Science

Locations

London

Remote status

Hybrid

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