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- Tasks: Join us as a Cheminformatics Engineer to revolutionize drug design with cutting-edge technology.
- Company: Be part of a dynamic team in London focused on transformative scientific advancements.
- Benefits: Enjoy a 6-12 month contract with opportunities for impactful contributions and professional growth.
- Why this job: Work in a fast-paced, multidisciplinary environment that values innovation and collaboration.
- Qualifications: Master's or PhD in Computational Chemistry or AI, with strong programming skills in Python.
- Other info: Ideal for those eager to transition novel AI research into real-world applications.
The predicted salary is between 36000 - 60000 £ per year.
Job Description
Cheminformatics Engineer – 6-12 month contract – London
My client is 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.
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++).
- 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.
If interested, please apply now.
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Cheminformatics Engineer employer: Exalto Consulting ltd
Contact Detail:
Exalto Consulting ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cheminformatics Engineer
✨Tip Number 1
Make sure to showcase your hands-on experience with programming languages like Python, Java, or C/C++. Highlight any specific projects where you've applied these skills in cheminformatics or AI, as this will demonstrate your technical capabilities.
✨Tip Number 2
If you have experience with advanced AI methods such as graph neural networks or reinforcement learning, be ready to discuss how you've implemented these techniques in past projects. This will show your ability to contribute to transformative technology in drug design.
✨Tip Number 3
Familiarize yourself with cheminformatics toolkits like RDKit or OpenEye. If you have used these tools in your previous work, prepare to share specific examples of how they helped you achieve impactful results in scientific projects.
✨Tip Number 4
Demonstrate your understanding of cloud platforms like AWS, GCP, or Azure. If you've worked on projects that utilized these platforms for data processing or machine learning, be sure to mention them, as this is a key requirement for the role.
We think you need these skills to ace Cheminformatics Engineer
Some tips for your application 🫡
Highlight Relevant Education: Make sure to emphasize your Master's or PhD in Computational Chemistry or related fields. Clearly state how your academic background aligns with the requirements of the Cheminformatics Engineer position.
Showcase Technical Skills: Detail your proficiency in Python and any other programming languages you know, such as Java or C/C++. Include specific examples of projects where you've applied these skills, especially in relation to AI and cheminformatics.
Demonstrate Experience: Provide concrete examples of your contributions to scientific projects. Mention any open-source contributions or publications that showcase your expertise in machine learning for scientific applications.
Tailor Your Application: Customize your CV and cover letter to reflect the specific capabilities mentioned in the job description, such as experience with graph neural networks or cloud platforms. This will show that you understand the role and are genuinely interested.
How to prepare for a job interview at Exalto Consulting ltd
✨Showcase Your Technical Skills
Be prepared to discuss your experience with programming languages like Python, Java, or C/C++. Highlight specific projects where you've applied these skills, especially in cheminformatics or AI.
✨Demonstrate Your Knowledge of AI and Cheminformatics
Familiarize yourself with state-of-the-art methods such as graph neural networks and generative modeling. Be ready to explain how you've used these techniques in past projects or how you would apply them to drug discovery.
✨Discuss Your Experience with Quantum Mechanics
If you have experience applying quantum mechanics techniques, be sure to mention it. Discuss any relevant tools you've used, like PSI4 or Gaussian, and how they contributed to your work in synthesis prediction.
✨Highlight Collaborative Experiences
Since the role involves working in multidisciplinary environments, share examples of how you've successfully collaborated with others. Mention any open-source contributions or publications that showcase your teamwork and expertise.
