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, pushing boundaries in research.
- Benefits: Enjoy flexible work options, cutting-edge projects, and a vibrant team culture.
- Why this job: Make a real impact in life sciences while working on transformative AI solutions.
- 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 industry experts and learn about potential job openings at companies like us.
✨Tip Number 2
Showcase your projects and experience on platforms like GitHub or LinkedIn. Highlight any AI algorithms or software solutions you've developed, especially those related to drug discovery, as this will demonstrate your practical skills to us.
✨Tip Number 3
Stay updated on the latest advancements in computational chemistry and AI. Follow relevant journals, blogs, and social media accounts to engage with current trends and innovations that could be beneficial for your role with us.
✨Tip Number 4
Prepare to discuss how you can translate scientific goals into software solutions during interviews. Think of examples where you've successfully integrated technology into research, as this aligns with our mission 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, Cheminformatics, or AI. Emphasise any relevant projects or experiences that demonstrate your impact in scientific or technical roles, particularly in drug discovery.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and computational chemistry. Discuss how your skills in programming, especially Python, and your experience with AI algorithms align with the company's goals. Be sure to mention any collaborative projects you've worked on.
Showcase Relevant Skills: Highlight your advanced programming skills and familiarity with tools like RDKit, PSI4, or TensorFlow. If you have experience with cloud platforms or big data technologies, make sure to include that as well, as it will strengthen your application.
Demonstrate Communication Skills: Since strong communication is key for this role, provide examples of how you've effectively communicated complex scientific ideas to both technical and non-technical audiences. This could be through presentations, publications, or team collaborations.
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 machine learning frameworks like TensorFlow or PyTorch.
✨Demonstrate Collaboration Experience
Since the role involves working with multidisciplinary teams, share examples of past collaborations. Discuss how you effectively communicated complex scientific ideas to both technical and non-technical audiences.
✨Stay Updated on Industry Trends
Research recent advancements in computational chemistry and AI. Being able to discuss current trends or innovations will show your passion for the field and your commitment to staying informed.
✨Prepare for Problem-Solving Questions
Expect to face scenario-based questions that assess your problem-solving skills. Think about challenges you've encountered in previous projects and how you overcame them, particularly in drug discovery or life sciences.
