Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop transformative AI technology to enhance drug design and improve partner efficiency.
- Company: Dalton is revolutionising drug discovery with cutting-edge technology.
- Benefits: Collaborative environment, impactful projects, and opportunities for innovation.
- Why this job: Join us to make a real difference in global healthcare through drug discovery.
- Qualifications: Master's or PhD in Computational Chemistry or AI, with strong programming skills.
- Other info: Fast-paced, multidisciplinary team with excellent career growth potential.
The predicted salary is between 36000 - 60000 ÂŁ per year.
About Dalton: Dalton is on a mission to make drug design more efficient. We are building the AI ecosystem for drug discovery, solving real-world problems, and transforming the pharmaceutical industry. Our goal is to harness cutting‑edge technology and turn it into impactful products for our partners. Join us as we revolutionize drug discovery and improve the lives of patients worldwide.
Why Join Dalton? Dalton offers an exciting, collaborative environment where you can contribute to revolutionizing drug discovery. We value innovation, creativity, and commitment, and we are united by our mission to make a difference globally.
Role Overview: We are seeking a detail‑oriented Cheminformatics Engineer who is passionate about developing transformative technology to enhance the productivity of drug design. If you thrive in a fast‑paced, multidisciplinary environment and have the skills below, we would love to hear from you.
Key Responsibilities
- Build strong relationships with Dalton's partners and deliver transformational projects.
- Collaborate with cross‑functional teams—including data science, software engineering, and product development to integrate novel technologies.
- Develop cutting‑edge AI methods and integrate them into robust products that improve partner efficiency.
- Deliver robust, extensible, and maintainable software solutions, translating high‑level business objectives into technical implementations.
- Drive your work with minimal supervision, managing the full software lifecycle from requirements capture to planning and execution.
- Stay informed about advancements in relevant scientific research and apply this knowledge to your work.
Capabilities
- Master's or PhD in Computational Chemistry (e.g., Cheminformatics or Quantum Mechanics) or Artificial Intelligence applied to scientific problem‑solving.
- Proven track record of impactful contributions to scientific projects.
- Advanced proficiency in Python or experience with other programming languages (e.g., Java, C/C++).
- Strong communication skills, capable of conveying complex scientific concepts to diverse audiences.
- Inclusive team player, open to learning from others and contributing to a collaborative environment.
- Desire to rapidly transition novel chemical AI research into production environments to transform drug discovery.
Beneficial Skills and Experience
- Expertise in one or more of the following areas:
- Artificial Intelligence: Experience with state‑of‑the‑art methods such as graph neural networks, transformers, Gaussian processes, generative modeling, or reinforcement learning.
- Cheminformatics: Knowledge of chemistry data storage, formats, and synthesis prediction; proficiency with toolkits such as RDKit or OpenEye.
- Quantum Mechanics: Experience applying QM techniques to synthesis prediction, including using QM toolkits (e.g., PSI4, Orca, Gaussian).
- Experience with data curation and processing from heterogeneous sources; familiarity with tools like Apache Spark or Hadoop.
- Proficiency with cloud platforms (AWS, GCP, Azure).
- Familiarity with major machine learning frameworks (e.g., scikit‑learn, TensorFlow, PyTorch).
- Open‑source contributions or publications demonstrating expertise in machine learning for scientific applications.
- Hands‑on experience with best software development practices in collaborative environments.
Cheminformatics Engineer employer: DaltonTx
Contact Detail:
DaltonTx Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cheminformatics Engineer
✨Tip Number 1
Network like a pro! Reach out to professionals in the cheminformatics field on LinkedIn or at industry events. Building connections can lead to opportunities that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI and cheminformatics. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as communication is key in collaborative environments like Dalton.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining our mission to revolutionise drug discovery.
We think you need these skills to ace Cheminformatics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Cheminformatics Engineer role. Highlight your relevant experience in computational chemistry and AI, and don’t forget to showcase any impactful projects you've worked on. We want to see how your skills align with our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for drug discovery and how you can contribute to our innovative environment. Be sure to mention specific technologies or methods you’ve worked with that relate to the role.
Showcase Your Communication Skills: Since strong communication is key, make sure your application reflects your ability to convey complex ideas clearly. Whether it's through your CV, cover letter, or any additional materials, we want to see how you can bridge the gap between science and technology.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Dalton!
How to prepare for a job interview at DaltonTx
✨Know Your Stuff
Make sure you brush up on your knowledge of cheminformatics and AI methods. Be ready to discuss specific projects you've worked on, especially those that relate to drug design. This shows you're not just familiar with the theory but have practical experience too.
✨Show Your Collaborative Spirit
Dalton values teamwork, so be prepared to share examples of how you've successfully collaborated with cross-functional teams in the past. Highlight your communication skills and how you can convey complex scientific concepts to different audiences.
✨Demonstrate Problem-Solving Skills
Think of a few challenging problems you've faced in your previous roles and how you tackled them. Dalton is looking for someone who can manage the full software lifecycle, so showcasing your ability to drive projects from start to finish will impress them.
✨Stay Current with Trends
Keep yourself updated on the latest advancements in cheminformatics and AI. Being able to discuss recent developments or breakthroughs in the field during your interview will show your passion and commitment to transforming drug discovery.