Associate Director, Biologics-ai

**About Us**

Exscientia is an AI-driven pharmatech company committed to discovering, designing, and developing the best possible drugs in the fastest and most effective manner. Exscientia developed the first-ever functional precision oncology platform to successfully guide treatment selection and improve patient outcomes in a prospective interventional clinical study, as well as to progressing the first AI-designed drugs into the clinical setting.

We are expanding our patient-first AI platform to the design of biologics. Led by Professor Charlotte Deane MBE, our strategy is to create the next generation of biologics by design not discovery, driven by an AI and automated experiment.

By designing better drugs, faster, we believe the best ideas of science can rapidly become the best medicines for patients

**As part of the Biologics-AI group you will have the opportunity to**:

- Lead a team of talented research scientists to produce cutting-edge research that will improve the capabilities and scalability of our AI-driven biologics technology platform.
- Use your expertise to directly contribute to our mission: making better drugs, faster - by further improving the predictive and generative modeling capabilities of our AI-driven biologics technology platform.
- Collaborate with stakeholders such as other research scientists, immunoinformaticians, and experimental biologics engineers to incorporate their feedback into your team’s plans and priorities.
- Use your research background to suggest novel machine learning use-cases and methods that positively impact our biologics-discovery processes.
- Grow your team’s culture and capabilities through effective leadership and active recruiting.
- Keep up with the latest research in relevant scientific fields and analyse its potential impact on our capabilities.
- Interact with the larger machine learning community by attending relevant scientific events and writing high-impact publications.

**What’s Required?**
- Ph.D. degree in Computational Biology, Biophysics, Structural Biology, Physics, Computer Science, Computational Chemistry, Artificial Intelligence or related disciplines
- Strong background in machine learning and antibodies and/or other types of biologics molecules.
- Experience of developing machine learning models in areas such as protein structure prediction, docking, design, or characterization of biologics
- Understanding of the challenges and opportunities associated with machine learning applied to scientific problems.
- Excellent interpersonal, oral, and written communication skills
- Demonstrable experience in leading a team of scientists to achieve ambitious research goals.
- Desire to supervise and mentor more junior team members.

**Beneficial Skills & Experience**
- Experience with generative models, graph neural networks, normalizing flows, transformers, natural language processing, active learning, bayesian optimisation.
- Experience with using Python and PyTorch (or similar deep learning frameworks) to implement deep learning architectures.
- Experience with agile development methods and goal-setting frameworks.
- Experience with bringing models from research prototyping to production.
- Understanding of the biologics research and development process

**Benefits**

Reasons for joining us
- Be part of a global network, working together to make a positive contribution to patients by revolutionising the pharmaceutical industry through AI-driven discovery.
- We will work with you to kick-start or further grow your career - from funding for professional development and conference attendance. To the opportunity to acquire valuable skills, work on problems that matter, and learn from world-class technology and scientific leaders.
- Join an inclusive, collaborative and intellectually stimulating culture
- A highly competitive compensation as we continue to grow and thrive.
- Our team’s health and well-being is important to us. We offer a generous holiday allowance, provide flexible working and remote working to encourage all of our team to manage their own work, time and life along with wellbeing and mindfulness support.
- When you are in the office, you will have access to a kitchen stocked with an endless supply of food for all employees. Along with access plenty of break out areas so you can get to know the people you are working with. Some of the best ideas start with a coffee break
- Hear from our team why they enjoy working