Exscientia is a company that is committed to getting medicines to patients in the fastest and most effective manner. We do this by applying the latest research in Artificial intelligence (AI), machine learning and modern high-performance computational methods to transform drug design. Exscientia is at the forefront of Artificial Intelligence (AI) driven drug discovery and the only company to have used AI to design drug molecules that are currently in clinical studies. All of our Innovation is driven by people; highly talented multi-disciplinary teams that work collaboratively to solve real world drug discovery problems. Following multiple partnerships with many leading Pharmaceutical companies and research institutes, we are now seeking a highly motivated Cheminformatics Research Engineer to join our new Miami office. Role Cheminformatics methods are an important component of our predictive and generative AI modeling capabilities and therefore used to generate, prioritize and select the most efficient molecules for our drug discovery programs. They are applied for example to create the best training sets for machine learning models or to calculate rewards for de novo design using Reinforcement Learning. In this role, you will be primarily developing, testing and maintaining the cheminformatics tools and libraries that are part of Exscientia’s AI technology platform and routinely used by our drug designers. You will be further improving existing software but equally keen on using your technical foundation and creativity to expand our capabilities with new algorithms and methods. You will be part of a friendly and talented team of research engineers with diverse scientific backgrounds who develop novel methods that are applied at different stages of the drug discovery process, ranging from hit discovery to late stage lead optimization. Collaboration is a cornerstone of our success and you will have the opportunity every day to work closely with experts from other domains such as experienced drug designers and medicinal chemists. This role is therefore an exciting opportunity for researchers or developers with a deep interest in computational approaches to drug design who are keen on creating high-quality tools that can and will make an impact on drug discovery projects. What you will do Develop and maintain production-grade toolkits and libraries at the intersection of cheminformatics, computational chemistry, structural bioinformatics and artificial intelligence to continuously improve the productivity and capabilities of our drug discovery processes. Collaborate with research scientists, medicinal chemists and computational drug designers to translate their requirements into algorithmic improvements and new capabilities. Work with software engineers to implement these algorithms into our core technology platform. Promote new methods through effective communication with stakeholders, training sessions and supporting users directly with their coding tasks. Stay informed on new technology developments, analyze them for potential benefits to our platform and devise plans for their implementation. What you will need Degree in chemistry, cheminformatics, structural bioinformatics, a related field or a degree in computer science with the chemistry knowledge stemming from extensive professional experience. Sufficient knowledge in medicinal chemistry to understand drug design and how computational methods are applied in the process from hit discovery to lead optimization. Necessary programming skills to implement data structures and complex algorithms using numerical and computational chemistry toolkits (e.g. RDKit, OpenEye). Proficiency in at least one programming language, preferably one commonly used in scientific computing and machine learning. Software development experience to confidently design and implement modules, packages, applications and APIs. Beneficial skills and experience Keen interest in artificial intelligence and its application to drug discovery. Understanding of structural bioinformatics and structure-based drug design (SBDD). Increasing the scalability of computational methods through deployments on cloud computing platforms such as AWS, GCP or Azure. Experience with major machine learning frameworks such as scikit-learn or PyTorch for building predictive models. Knowledge of advanced data analysis techniques such as multi-parameter optimization. Python is the primary programming language across our scientific toolkit infrastructure - advanced proficiency is therefore highly beneficial. Proficiency in a low-level programming language such as C/C++ or Rust. Open source contributions or publications in academic journals demonstrating experience in scientific method development and innovation. Reasons for joining us Making a positive contribution to patients by revolutionizing the pharmaceutical industry through AI-driven discovery. Kick-start or further grow your career - at Exscientia, you will have the opportunity to acquire valuable skills, work on problems that matter, and learn from world-class technical and scientific leaders. Highly competitive compensation as we continue to grow and thrive. Funding for professional development and conference attendance. Opportunity to join an inclusive, collaborative and intellectually stimulating culture. Work from a brand new office in the heart of Miami - one of the most exciting places in the United States. We are just a block away from the waterfront, within walking distance of the Wynwood Art District and across the bridge from South Beach. Exscientia does not offer visa sponsorships for this position and applicants must be eligible to work in the United States.
