At a Glance
- Tasks: Lead the development of innovative AI algorithms for drug discovery and mentor junior researchers.
- Company: Join AQEMIA, a fast-growing pharmatech company revolutionising drug discovery.
- Benefits: Competitive salary, remote work options, and opportunities for professional growth.
- Other info: Collaborative, interdisciplinary team environment with a focus on scientific challenges.
- Why this job: Make a real impact in healthcare by advancing AI in drug discovery.
- Qualifications: PhD in relevant field with strong programming skills and deep learning experience.
The predicted salary is between 70000 - 90000 £ per year.
About AQEMIA
AQEMIA is a next-gen pharmatech company generating one of the world's fastest-growing drug discovery pipelines. Our mission is to design fast innovative drug candidates for dozens of critical diseases, such as immuno-oncology. Our unique approach leverages quantum-inspired physics algorithms to power generative AI in designing novel drug candidates—without relying on experimental data. We already delivered several drug discovery successes within our internal pipeline and through collaborations with pharmaceutical companies. Our most advanced programs are currently in vivo optimization.
About the team you’ll join:
As a Senior AI Research Scientist, you will join one of Aqemia’s Drug Discovery Platform AI Teams, composed of 5 AI Researchers, and lead efforts to develop cutting-edge AI algorithms to model protein-ligand systems and predict molecular properties. You will be a hands-on technical expert pushing the boundaries of what AI can do for drug discovery. Your deep knowledge of machine learning, strong coding foundations, and applied experience in model development will play a key role in advancing our Drug Discovery Platform. You will act as a technical mentor, contribute to high-impact R&D projects, and help integrate innovative AI methodologies into real-world drug discovery applications.
Your Role & Responsibilities
- Lead the design and the technical implementation of novel ML algorithms with a strong focus on deep learning, generative models, graph neural networks, and physics-informed AI to predict molecular properties and protein-ligand interactions.
- Take part in cutting-edge research and bibliographic exploration. You’ll identify relevant recent publications, benchmark promising ideas, and propose model or pipeline improvements.
- Act as a mentor to junior team members, offering guidance on system design, model implementation, debugging, and good coding practices.
- Collaborate with AI researchers, computational chemists, and drug discovery teams to translate AI models into actionable scientific insights.
- Be deeply involved in coding, from prototyping to deploying production-ready models. You should have a strong software engineering mindset and a passion for writing clean, efficient, and scalable code.
- Share best practices in deep learning model development, testing, and reproducibility within the team.
- Scale AI models for real-world applications, optimizing model efficiency, interpretability, and generalization to unseen chemical spaces.
Must-Have Qualifications:
- Strong problem-solving skills, autonomy and a collaborative mindset.
- PhD or equivalent practical experience in Machine Learning, Computer Science, Applied Mathematics or a related field, with at least 8 years of experience.
- Strong programming skills in Python and proficiency with Deep Learning frameworks (e.g., PyTorch, JAX, TensorFlow).
- Demonstrated hands-on experience implementing and deploying deep learning models in production or research environments.
- Strong scientific rigor, curiosity, and ability to perform bibliographic research and exploratory R&D.
Nice-to-Have Qualifications
- Experience in drug discovery, chemistry, or physics.
- Experience with physics-informed ML models.
- Familiarity with high-performance computing (HPC) and cloud-based ML pipelines.
Interview Process
- Screening call with Talent Acquisition (30 min)
- Interview with your future Manager (45 min)
- 1st technical interview: Paper review (1.5 hours)
- 2nd technical interview: Take-home ML case (1.5 hours)
- Interview with VP Platform and co-founders (1 hour each)
Preferred Mindset
At Aqemia, we believe that great science thrives in the right mindset and culture. We are looking for candidates who embody the following principles:
- Pragmatic and Impact-Driven – Focused on delivering solutions that work in real-world applications, balancing scientific rigor with practical usability.
- Eagerness to Learn – A strong curiosity for scientific advancements and a willingness to continuously expand your expertise.
- Love for High Scientific Challenges – Enthusiasm for tackling complex problems at the frontier of AI and drug discovery.
- Team-Oriented – A collaborative spirit, thriving in an interdisciplinary environment.
- Humility – Open to feedback and different perspectives, always striving for improvement.
Why Join Us?
At AQEMIA, we work for a mission: joining us means having your own impact on changing the way drugs are discovered, and helping to shape the direction of our fast-growing company and team.
- Expanding Drug Discovery Pipeline: Focused on critical therapeutic areas like Oncology, CNS, Immuno-inflammation... with in vivo proof of concept/patent stage programs.
- Collaborations with top Pharma, including a $140M Sanofi deal.
- Interdisciplinary Team: brilliant talent from tech and life sciences.
- DeepTech Recognition: Part of French Tech 120 and France 2030.
- Prime Location: Based in central Paris and London (King's Cross) with the possibility of 2 remote days per week.
- International Environment: The work language is English - relocation support and French lessons granted if needed.
- Strong Financial Backing: $100M raised from leading European and International investors.
Remote Senior AI Research Scientist in Glasgow employer: Aqemia
AQEMIA is an exceptional employer, offering a unique opportunity to contribute to groundbreaking advancements in drug discovery through innovative AI methodologies. With a collaborative and interdisciplinary work culture, employees benefit from strong mentorship, professional growth opportunities, and the chance to make a meaningful impact on critical therapeutic areas. Located in vibrant central Paris and London, AQEMIA provides a dynamic international environment with flexible remote working options, ensuring a fulfilling and rewarding career for its team members.
