Principal Scientist Computational Chemistry

We are looking for a highly motivated computational chemist to join the Computational Chemistry group at our R&D site in Stein Switzerland. With strong expertise in computer-aided chemical design and molecular modelling you will drive innovation in our molecular design processes. As part of your professional development you will have the opportunity to explore and integrate AI / ML methodologies with traditional computational chemistry approaches to accelerate and improve molecular design of active ingredients. Strong teamwork excellence in computational design and the willingness to translate innovative scientific concepts into scalable solutions are essential. Accountabilities Design and optimize molecules guided by data-driven hypotheses in partnership with chemists, biologists and other crop protection scientific experts Develop and implement computational workflows to support molecular design Create structure-property relationships to guide design decisions Explore emerging computational methods to improve the molecular design effectiveness Provide systematic feedback to drive continuous improvement of computational chemistry infrastructures, workflows and algorithm implementation Qualifications PhD in computational chemistry or related field Strong foundation in target- and ligand-based design Proficiency with standard computational chemistry / cheminformatics packages Experience with computational workflows (virtual screening compound library design) Working knowledge of Python programming Basic understanding of statistics and data analysis Proficiency in both Windows and Unix operating systems including batch / shell scripting and CLI automation Demonstrated experience with High-Performance Computing (HPC) and distributed computing environments Demonstrated ability to work effectively in cross-functional teams Additional Expertise Machine learning concepts and their applications in chemistry Advanced data analysis and visualization techniques Software development Additional Information We provide access to state-of-the-art research facilities and technologies enabling you to apply and expand your expertise in computational design and active ingredient optimization. We cultivate a dynamic and intellectually stimulating working environment with an open culture and diverse workforce where new ideas are always welcome. We embrace flexible work arrangements and foster work-life balance. We invest in your professional growth and development through a multidisciplinary training program tailored to foster a rewarding career in crop protection. Specifically we offer comprehensive training and development opportunities to expand your expertise in AI / ML applications for computational chemistry, statistics, programming and software development. We are part of a strong regional Science hub offering you the opportunity to interact with a rich community of scientists in life sciences further enhancing your professional network and knowledge exchange. You will profit from a competitive pension fund plan, attractive bonus system, onsite doctor, fitness room, canteen and other benefits (Family friendly initiatives, Child and Family allowance) Are you interested? Please send your complete application with CV, research summary, diploma and cover letter (if applicable). Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability or any other legally protected status. Remote Work: No Employment Type: Full-time Key Skills Machine Learning, Python, Data Science, AI, R, Research Experience, Sensors, Drug Discovery, Research & Development, Natural Language Processing, Data Analysis Skills, Toxicology Experience Experience: years Vacancy: 1 #J-18808-Ljbffr