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- Tasks: Develop transformative technology to enhance drug design and collaborate with cross-functional teams.
- Company: Dalton is revolutionising drug discovery using AI to improve patient lives globally.
- Benefits: Enjoy a collaborative environment, innovative culture, and the chance to make a global impact.
- Why this job: Join us to work on cutting-edge AI methods and transform the pharmaceutical industry.
- Qualifications: Master’s or PhD in Computational Chemistry or AI, with strong programming skills in Python.
- Other info: Be part of a mission-driven team focused on impactful scientific advancements.
The predicted salary is between 30000 - 50000 £ 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.
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: 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
✨Tip Number 1
Familiarise yourself with Dalton's mission and values. Understanding their focus on revolutionising drug discovery will help you align your passion and skills with their goals during any discussions or interviews.
✨Tip Number 2
Network with professionals in cheminformatics and AI. Attend relevant conferences or webinars to connect with industry experts, which can provide insights into the role and potentially lead to referrals.
✨Tip Number 3
Showcase your technical skills through personal projects or contributions to open-source initiatives. This not only demonstrates your expertise but also your commitment to advancing the field of cheminformatics.
✨Tip Number 4
Prepare to discuss recent advancements in cheminformatics and AI. Being knowledgeable about current trends and technologies will impress interviewers and show that you're proactive in your field.
We think you need these skills to ace Cheminformatics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in cheminformatics, AI, and software development. Use keywords from the job description to demonstrate that you meet the specific requirements of the Cheminformatics Engineer role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for drug discovery and how your skills align with Dalton's mission. Mention specific projects or experiences that demonstrate your ability to contribute to their innovative environment.
Showcase Technical Skills: In your application, emphasise your proficiency in programming languages like Python and any experience with AI methods or cheminformatics toolkits. Provide examples of how you've applied these skills in previous roles or projects.
Highlight Collaborative Experience: Since the role involves working with cross-functional teams, include examples of past collaborations. Describe how you effectively communicated complex scientific concepts to diverse audiences and contributed to team success.
How to prepare for a job interview at Dalton Strategic Partnership LLP
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python and any other programming languages you know. Be prepared to discuss specific projects where you've applied these skills, especially in cheminformatics or AI.
✨Demonstrate Collaborative Spirit
Dalton values teamwork, so be ready to share examples of how you've successfully collaborated with cross-functional teams. Discuss how you’ve integrated different technologies and worked towards common goals.
✨Stay Updated on Industry Trends
Familiarise yourself with the latest advancements in cheminformatics and AI. Being able to discuss recent research or breakthroughs will show your passion for the field and your commitment to continuous learning.
✨Communicate Complex Ideas Clearly
Since strong communication skills are essential, practice explaining complex scientific concepts in simple terms. This will demonstrate your ability to convey information effectively to diverse audiences.
