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For Companies At a Glance
- Tasks: Develop AI tools for drug discovery and collaborate with diverse teams.
- Company: Join a cutting-edge tech company leading in scientific innovation.
- Benefits: Enjoy flexible work options and access to advanced technologies.
- Why this job: Make a real impact in life sciences while working on exciting AI projects.
- Qualifications: MSc or PhD in relevant fields; strong programming skills, especially in Python.
- Other info: Ideal for those passionate about translating research into practical solutions.
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: LinkedIn
Contact Detail:
LinkedIn 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 contributions 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 experience and technical skills to us.
✨Tip Number 3
Stay updated on the latest advancements in AI and computational chemistry. Follow relevant journals, blogs, and online courses to ensure you can discuss current trends and technologies during interviews, showing your commitment to continuous learning.
✨Tip Number 4
Prepare to discuss how you would approach real-world problems in drug discovery using AI. Think of specific examples where you can apply your knowledge of cheminformatics or quantum mechanics, as this will help you stand out during discussions with our team.
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 life sciences or drug discovery.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and computational chemistry. Discuss specific projects where you've successfully integrated AI algorithms into real-world applications, and how you can contribute to the company's goals.
Showcase Technical Skills: Clearly list your programming skills, especially in Python, and mention any experience with other languages like C/C++ or Java. Highlight your familiarity with AI frameworks such as TensorFlow or PyTorch, and any experience with cloud platforms like AWS or GCP.
Demonstrate Communication Skills: Since strong communication is key, provide examples of how you've effectively articulated complex scientific ideas to both technical and non-technical audiences. This could be through presentations, publications, or collaborative projects.
How to prepare for a job interview at LinkedIn
✨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 that you can bridge the gap between science and business effectively.
✨Demonstrate Collaboration
Prepare examples of how you've successfully worked in multidisciplinary teams. Emphasise your ability to collaborate with data scientists, software engineers, and product teams, as this is crucial for integrating technologies into real-world solutions.
✨Stay Updated on Industry Trends
Research recent advancements in computational chemistry and AI. Being able to discuss current trends or innovations during your interview will show your passion for the field and your commitment to staying at the forefront of scientific discovery.
