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- Tasks: Develop transformative AI technology to enhance drug design and improve patient lives.
- Company: Join Dalton, a pioneering tech company revolutionising drug discovery.
- Benefits: Exciting collaborative environment with opportunities for innovation and impact.
- Why this job: Make a real difference in healthcare while working with cutting-edge technology.
- Qualifications: Master’s or PhD in Computational Chemistry or AI, with strong programming skills.
- Other info: Dynamic role with excellent career growth and the chance to work on impactful projects.
The predicted salary is between 36000 - 60000 £ 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’d 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.
- 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.
- 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.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Engineering and Information Technology
Location: London, England, United Kingdom
Cheminformatics Engineer employer: Dalton Strategic Partnership LLP
Contact Detail:
Dalton Strategic Partnership LLP Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cheminformatics Engineer
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, conferences, or even online webinars. Building relationships can open doors to opportunities that aren’t advertised.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those related to cheminformatics or AI. This will give potential employers a taste of what you can bring to the table.
✨Tailor Your Approach
When reaching out to companies like Dalton, make sure to tailor your message. Highlight how your skills align with their mission to revolutionise drug discovery. Personal touches can make a big difference!
✨Apply Through Our Website
We encourage you to apply directly through our website. It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our mission!
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 you can contribute to 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 your skills align with our goals at Dalton. Be genuine and let us know why you’re excited about the opportunity to join our team.
Showcase Your Technical Skills: We’re looking for someone with strong programming skills, especially in Python. Make sure to mention any relevant tools or frameworks you’ve used, like RDKit or TensorFlow. This will help us see how you can hit the ground running!
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 serious about joining our mission to revolutionise drug discovery!
How to prepare for a job interview at Dalton Strategic Partnership LLP
✨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’ve conveyed 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 drive their work with minimal supervision, so showcasing your ability to manage the full software lifecycle will be key.
✨Stay Current and Curious
Keep yourself updated on the latest advancements in cheminformatics and AI. During the interview, mention any recent research or technologies that excite you and how you could apply them at Dalton. This shows your passion for the field and your commitment to innovation.
