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For Companies At a Glance
- Tasks: Develop transformative AI technology to enhance drug design and improve patient lives.
- Company: Dalton, a pioneering company revolutionising drug discovery with cutting-edge technology.
- Benefits: Collaborative environment, competitive salary, and opportunities for impactful contributions.
- Why this job: Join us to make a real difference in the pharmaceutical industry and advance your career.
- Qualifications: Master's or PhD in Computational Chemistry or AI, with strong programming skills.
- Other info: Dynamic team culture focused on innovation and professional growth.
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 cuttingâedge 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 detailâoriented Cheminformatics Engineer who is passionate about developing transformative technology to enhance the productivity of drug design. If you thrive in a fastâpaced, 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 crossâfunctional teamsâincluding data science, software engineering, and product development to integrate novel technologies.
- Develop cuttingâedge AI methods and integrate them into robust products that improve partner efficiency.
- Deliver robust, extensible, and maintainable software solutions, translating highâlevel 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 problemâsolving.
- 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 stateâofâtheâart 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., scikitâlearn, TensorFlow, PyTorch).
- Openâsource contributions or publications demonstrating expertise in machine learning for scientific applications.
- Handsâon experience with best software development practices in collaborative environments.
Cheminformatics Engineer in London employer: DaltonTx
Contact Detail:
DaltonTx Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Cheminformatics Engineer in London
â¨Tip Number 1
Network like a pro! Reach out to professionals in the cheminformatics field on LinkedIn or at industry events. Building relationships can open doors to opportunities that arenât even advertised.
â¨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI methods or cheminformatics tools. This gives potential employers a taste of what you can bring to the table.
â¨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.
â¨Tip Number 4
Donât forget to apply through our website! Itâs the best way to ensure your application gets noticed. Plus, it shows youâre genuinely interested in joining our mission to revolutionise drug discovery.
We think you need these skills to ace Cheminformatics Engineer in London
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV is tailored to the Cheminformatics Engineer role. Highlight your relevant experience in computational chemistry and AI, and donât 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 team. Be sure to mention specific technologies or methodologies youâre familiar with that relate to the role.
Showcase Your Communication Skills: As a Cheminformatics Engineer, you'll need to convey complex ideas clearly. In your application, demonstrate your ability to communicate scientific concepts effectively. This could be through examples of past collaborations or presentations you've delivered.
Apply Through Our Website: We encourage you to apply directly through our website. Itâs the best way for us to receive your application and ensures youâre considered for the role. Plus, it shows youâre keen on joining our mission at Dalton!
How to prepare for a job interview at DaltonTx
â¨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 showcase your skills in Python or other programming languages. This will show that you're not just familiar with the theory but have practical experience too.
â¨Show Your Collaborative Spirit
Dalton values teamwork, so be prepared to talk about how you've successfully collaborated with cross-functional teams in the past. Share examples where youâve integrated different technologies or worked alongside data scientists and software engineers to achieve a common goal.
â¨Communicate Clearly
Since strong communication skills are key for this role, practice explaining complex scientific concepts in simple terms. Think about how you would convey your ideas to someone without a technical background, as this will demonstrate your ability to engage with diverse audiences.
â¨Stay Current
Keep yourself updated on the latest advancements in cheminformatics and AI. During the interview, mention any recent research or trends that excite you and how you could apply them at Dalton. This shows your passion for the field and your commitment to continuous learning.