Join to apply for the Cheminformatics Engineer role atDalton Strategic Partnership LLP. About Dalton: Dalton is on amission to make drug design more efficient. We are building the AIecosystem for drug discovery, solving real-world problems, andtransforming the pharmaceutical industry. Our goal is to harnesscutting-edge technology and turn it into impactful products for ourpartners. Join us as we revolutionize drug discovery and improvethe lives of patients worldwide. Why Join Dalton? Dalton offers anexciting, collaborative environment where you can contribute torevolutionizing drug discovery. We value innovation, creativity,and commitment, and we are united by our mission to make adifference globally. Role Overview: We are seeking adetail-oriented Cheminformatics Engineer who is passionate aboutdeveloping transformative technology to enhance the productivity ofdrug design. If you thrive in a fast-paced, multidisciplinaryenvironment and have the skills below, we’d love to hear from you.Key Responsibilities: * Build strong relationships with Dalton’spartners and deliver transformational projects. * Collaborate withcross-functional teams—including data science, softwareengineering, and product development to integrate noveltechnologies. * Develop cutting-edge AI methods and integrate theminto robust products that improve partner efficiency. * Deliverrobust, extensible, and maintainable software solutions,translating high-level business objectives into technicalimplementations. * Drive your work with minimal supervision,managing the full software lifecycle from requirements capture toplanning and execution. * Stay informed about advancements inrelevant 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 Intelligenceapplied to scientific problem-solving. * Proven track record ofimpactful contributions to scientific projects. * Advancedproficiency in Python or experience with other programminglanguages (e.g., Java, C/C++). * Strong communication skills,capable of conveying complex scientific concepts to diverseaudiences. * Inclusive team player, open to learning from othersand contributing to a collaborative environment. * Desire torapidly transition novel chemical AI research into productionenvironments to transform drug discovery. Beneficial Skills AndExperience: * Artificial Intelligence: Experience withstate-of-the-art methods such as graph neural networks,transformers, Gaussian processes, generative modeling, orreinforcement learning. * Cheminformatics: Knowledge of chemistrydata storage, formats, and synthesis prediction; proficiency withtoolkits such as RDKit or OpenEye. * Quantum Mechanics: Experienceapplying QM techniques to synthesis prediction, including using QMtoolkits (e.g., PSI4, Orca, Gaussian). * Experience with datacuration and processing from heterogeneous sources; familiaritywith tools like Apache Spark or Hadoop. * Proficiency with cloudplatforms (AWS, GCP, Azure). * Familiarity with major machinelearning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). *Open-source contributions or publications demonstrating expertisein machine learning for scientific applications. * Hands-onexperience with best software development practices incollaborative environments. Seniority level Mid-Senior levelEmployment type Full-time Job function Engineering and InformationTechnology J-18808-Ljbffr