At a Glance
- Tasks: Lead AI research to revolutionise drug discovery and develop advanced machine learning capabilities.
- Company: Nxera Pharma, a pioneering company in AI-driven medicine discovery.
- Benefits: Competitive salary, stock options, generous leave, and health benefits.
- Why this job: Join a mission to transform healthcare with cutting-edge AI technology.
- Qualifications: PhD in relevant field and 5+ years of AI/ML experience in life sciences.
- Other info: Collaborate with top researchers in a dynamic, inclusive environment.
The predicted salary is between 72000 - 108000 £ per year.
About Nxera Pharma
Nxera Pharma is establishing a new AI enabled discovery initiative to build a high throughput AI and physics driven GPCR discovery engine that augments our world class experimental capabilities and extensive proprietary structural and chemogenomic data assets originating from Heptares Therapeutics. This initiative sits within our newly formed Computational Sciences team alongside Research Informatics, Chem Informatics and Bio Informatics. AI is being deployed across the NxWaveTM platform, trained on the industry’s most extensive proprietary GPCR structure–ligand dataset and paired with our curated chemogenomic library of GPCR focused small molecules. Our mission is to unlock the vast untapped potential of G-protein-coupled receptors (GPCRs) using computational and experimental innovation to design first-in-class therapeutics across metabolic, neurological, immunological, and rare diseases.
As part of Nxera’s mission to redefine how new medicines are discovered and to fully leverage advances in AI, quantum mechanics and next generation data integration, we are seeking a Director of AI Research & Engineering.
The Role
We are seeking a visionary Director of AI Research to lead the design, development, and deployment of advanced AI and machine learning capabilities across Nxera’s discovery pipeline. This role will accelerate the evolution of NxWave™, embedding AI throughout structure determination, ligand discovery, and translational biology. You will bridge data science, structural biology, and chemistry, transforming how Nxera generates, analyses, and applies biological knowledge.
What You’ll Do
- Help define and implement Nxera’s enterprise-level AI strategy to scale intelligent automation across discovery and design including:
- Algorithmic Innovation
- Drive the application and development of advanced AI methods, including:
- Generative models for de novo ligand and peptide design (e.g. diffusion models, VAEs, GANs, reinforcement learning).
- Protein structure prediction and conformational modelling using graph neural networks (GNNs) and equivariant transformers.
- Molecular property prediction via multitask learning, transfer learning, and self-supervised pretraining on molecular graphs.
- Active learning and Bayesian optimisation to prioritise compounds for synthesis and assay.
- Natural-language processing (NLP) and retrieval-augmented generation (RAG) for mining scientific literature and experimental reports.
- Multi-modal integration of structural, chemical, and biological data using embedding fusion and transformer-based architectures.
What You’ll Bring
You combine deep technical expertise with a passion for translating AI breakthroughs into transformative medicines.
Essential Qualifications
- PhD (or equivalent) in Computer Science, Computational Biology, Applied Mathematics, or related quantitative discipline.
- 5+ years of experience applying AI/ML to life sciences, drug discovery, or healthcare innovation.
- Proven leadership in developing and deploying deep learning or generative AI systems at scale.
- Proficiency in frameworks such as PyTorch, TensorFlow, or JAX; and experience with cloud-native ML infrastructure (AWS SageMaker, Vertex AI, Azure ML).
- Demonstrated understanding of chemoinformatics, molecular docking, free-energy prediction, or structure-based drug design workflows.
Desirable
- Experience with co-folding.
- Publications or patents in deep generative chemistry, protein design, or foundation models.
- Familiarity with graph transformer architectures, diffusion models, or LLMs for scientific reasoning.
Why Join Nxera Pharma
- Lead the evolution of AI-driven molecular discovery in a company built on scientific integrity and purpose.
- Work at the nexus of mathematics, machine learning, and molecular biology, redefining how therapeutics are discovered.
- Collaborate with world-class researchers and engineers united by a mission to bring precision medicines to patients faster.
What’s in it for you?
- State-of-the-art R&D centre located in the heart of the Cambridge science cluster - for Cambridge hires.
- Competitive compensation package including discretionary cash bonuses.
- Eligible for grants of Restricted Stock Units.
- 26 days annual leave in addition to public holidays plus the option to purchase an additional 5 days each year.
- Employer contribution to pension.
- Private Medical Insurance for employees and family and a cash plan for dental and optical reimbursement.
- Health and wellbeing benefits including a subsidised individual gym membership.
- Income protection to cover long term absences due to ill health.
- Group Death in Service equal to 4x basic annual salary.
At Nxera Pharma, we are passionate about delivering life-changing medicines to patients. We foster an open and welcoming environment where everyone can bring their authentic self to work, harnessing our individual strengths to succeed together. We value our culture rooted in a diverse mix of minds, backgrounds, and abilities, with a deep sense of belonging. For us, inclusiveness is a reflex, not an initiative. We are achieving this through a consistent commitment to fairness, equal opportunity, and equity. Applications should include a CV and covering letter, providing a short description of the background of your interest in the role. Join us at Nxera Pharma — where AI meets biology to transform the future of medicine.
Director of AI Research & Engineering in London employer: Nxera Pharma
Contact Detail:
Nxera Pharma Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Director of AI Research & Engineering in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching Nxera Pharma and understanding their AI initiatives. Tailor your responses to show how your skills align with their mission to redefine drug discovery using AI.
✨Tip Number 3
Showcase your projects! If you've worked on relevant AI or machine learning projects, be ready to discuss them in detail. Bring examples that demonstrate your problem-solving skills and innovative thinking.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in being part of the Nxera team and contributing to our exciting AI-driven initiatives.
We think you need these skills to ace Director of AI Research & Engineering in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Director of AI Research & Engineering. Highlight your relevant experience in AI, machine learning, and life sciences, and don’t forget to showcase any leadership roles you've had!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI in drug discovery and how your background aligns with Nxera's mission. Keep it concise but impactful!
Showcase Your Technical Skills: Be specific about your technical expertise in AI frameworks like PyTorch or TensorFlow. Mention any projects where you’ve applied these skills, especially in a life sciences context, to demonstrate your hands-on experience.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you’re considered for this exciting opportunity at Nxera Pharma!
How to prepare for a job interview at Nxera Pharma
✨Know Your AI Stuff
Make sure you brush up on the latest advancements in AI and machine learning, especially as they relate to drug discovery. Be ready to discuss specific algorithms and models you've worked with, like generative models or graph neural networks, and how they can be applied to GPCRs.
✨Showcase Your Leadership Skills
As a Director, you'll need to demonstrate your ability to lead and mentor a team. Prepare examples of how you've successfully built and guided teams in the past, and be ready to discuss your approach to fostering collaboration between data science and experimental teams.
✨Understand the Science
Familiarise yourself with the basics of chemoinformatics and molecular biology. Being able to speak the language of both AI and life sciences will show that you can bridge the gap between these fields effectively, which is crucial for this role.
✨Prepare Questions
Think of insightful questions to ask during the interview. This could include inquiries about Nxera's current AI initiatives or how they envision the integration of AI into their discovery pipeline. It shows your genuine interest and helps you assess if the company aligns with your vision.