Cheminformatics Engineer - 6-12 month contract - London
Please double check you have the right level of experience and qualifications by reading the full overview of this opportunity below.
My client 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.
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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