Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join us to develop AI tools for drug discovery and collaborate with diverse teams.
- Company: We're a tech-driven leader in scientific innovation, transforming the future of healthcare.
- Benefits: Enjoy flexible work options, cutting-edge projects, and opportunities for professional growth.
- Why this job: Make a real impact in life sciences while working with the latest AI technologies.
- Qualifications: MSc or PhD in relevant fields; strong programming skills, especially in Python.
- Other info: Ideal for those passionate about translating research into practical applications.
The predicted salary is between 36000 - 60000 £ per year.
A technology-driven company at the forefront of scientific innovation is seeking an AI Scientist with expertise in computational chemistry and applied machine learning to help develop transformative tools for drug discovery and partner success.
Key Responsibilities
- Build and maintain strong relationships with external partners, delivering high-impact, transformational AI projects.
- Collaborate with multidisciplinary teams—including data scientists, software engineers, and product teams—to integrate emerging technologies into real-world solutions.
- Design and implement cutting-edge AI algorithms, ensuring their integration into robust, production-grade platforms that enhance research efficiency.
- Translate scientific and business goals into scalable and maintainable software solutions.
- Own the full development lifecycle, from requirements gathering through to planning, coding, testing, and deployment.
- Stay current on advancements in computational science and AI, applying relevant innovations to project work.
Core Qualifications
- MSc or PhD in Computational Chemistry, Cheminformatics, Quantum Mechanics, or AI for scientific discovery.
- Demonstrated impact in previous scientific or technical projects, ideally within the life sciences or drug discovery space.
- Advanced programming skills, especially in Python; experience in other languages (e.g., C/C++, Java) is a plus.
- Strong communicator, able to clearly articulate scientific ideas to diverse technical and non-technical audiences.
- Collaborative, growth-oriented mindset with a passion for rapidly translating novel research into real-world applications.
Preferred Experience
- Expertise in one or more of the following areas:
- Artificial Intelligence: Experience with GNNs, transformers, generative models, Gaussian processes, or reinforcement learning.
- Cheminformatics: Familiarity with chemical data formats, reaction prediction, and tools such as RDKit or OpenEye.
- Quantum Mechanics: Practical use of QM methods for synthesis prediction using tools like PSI4, Orca, or Gaussian.
- Big Data: Experience curating and processing data from diverse sources; exposure to Apache Spark or Hadoop is beneficial.
- Cloud Platforms: Proficiency with AWS, GCP, or Azure.
- ML Frameworks: Hands-on with scikit-learn, TensorFlow, PyTorch, or related libraries.
Computational Chemist & AI Engineer employer: Skills Alliance
Contact Detail:
Skills Alliance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Computational Chemist & AI Engineer
✨Tip Number 1
Network with professionals in the computational chemistry and AI fields. Attend relevant conferences, webinars, or meetups to connect with potential colleagues and industry leaders who can provide insights and possibly refer you to opportunities at StudySmarter.
✨Tip Number 2
Showcase your projects and experience on platforms like GitHub or LinkedIn. Highlight any relevant work in AI algorithms, cheminformatics, or machine learning that demonstrates your skills and passion for the field, making it easier for us to see your fit for the role.
✨Tip Number 3
Stay updated on the latest advancements in computational chemistry and AI. Follow key publications, blogs, and influencers in the field to ensure you can discuss current trends and innovations during interviews, showing your commitment to continuous learning.
✨Tip Number 4
Prepare to discuss how you've collaborated with multidisciplinary teams in the past. Be ready to share specific examples of how you’ve integrated technology into real-world solutions, as this will demonstrate your ability to thrive in our collaborative environment at StudySmarter.
We think you need these skills to ace Computational Chemist & AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your MSc or PhD in Computational Chemistry or related fields. Emphasise any relevant experience in AI, machine learning, and programming skills, particularly in Python.
Craft a Compelling Cover Letter: In your cover letter, express your passion for computational chemistry and AI. Mention specific projects where you've demonstrated impact, and how your skills align with the company's goals in drug discovery.
Showcase Relevant Projects: Include details of any previous scientific or technical projects that relate to the life sciences or drug discovery. Highlight your role in these projects and the technologies you used, such as GNNs or cloud platforms.
Prepare for Technical Questions: Be ready to discuss your technical expertise in programming and AI algorithms during interviews. Prepare examples of how you've integrated emerging technologies into real-world solutions, and be clear about your contributions.
How to prepare for a job interview at Skills Alliance
✨Showcase Your Technical Skills
Be prepared to discuss your programming expertise, especially in Python. Highlight any projects where you've implemented AI algorithms or worked with cheminformatics tools, as this will demonstrate your hands-on experience and technical proficiency.
✨Communicate Clearly
Since the role requires articulating complex scientific ideas to both technical and non-technical audiences, practice explaining your past projects in simple terms. This will show your ability to bridge the gap between science and business effectively.
✨Demonstrate Collaboration
Prepare examples of how you've successfully collaborated with multidisciplinary teams. Discuss specific instances where you contributed to a project that required input from data scientists, software engineers, or product teams, showcasing your teamwork skills.
✨Stay Current on Industry Trends
Research recent advancements in computational chemistry and AI. Being able to discuss current trends or innovations during your interview will reflect your passion for the field and your commitment to staying updated, which is crucial for this role.
