As a world market leader in crop protection, we help farmers to counter the threats and ensure enough safe, nutritious, affordable food for all - while minimizing the use of land and other agricultural inputs. Syngenta Crop Protection keeps plants safe from planting to harvesting. From the moment a seed is planted through to harvest, crops need to be protected from weeds, insects, and diseases as well as droughts and floods, heat, and cold. Syngenta Crop Protection is headquartered in Switzerland.
Job description:
We are currently seeking a 2-year fixed term Postdoctoral Fellowship contract in our chemistry department in Stein AG, Switzerland where you will be given the opportunity to develop new skills while working at the cutting edge of science and innovation. At Syngenta, our work matters; we are looking for the talents of today and tomorrow. We are seeking a dynamic individual to join our team and contribute to the enhancement of our High-Throughput Experimentation (HTE) platform through the implementation and integration in our software platform of cutting-edge experimental design algorithms. In this role, you will be responsible for:
Conducting a detailed analysis of existing methodologies for design of experiments, including design of experiments and Bayesian approaches, and providing a comprehensive summary of their features.
Developing a robust Python package that integrates all pertinent existing algorithms, ensuring seamless interaction with our internal reaction data management software platform.
Leveraging large-scale chemical reaction conditions datasets to create machine learning algorithms that enable intelligent selection of variables and their values as input to reaction optimization experimental design
Establishing the groundwork for customizable, on-demand machine learning models for reaction optimization that users can operate independently.
Crafting intuitive graphical user visualizations for straightforward interpretation of results by end-users
As an integral part of our collaborative team, you will work closely with automation scientists and chemists who are the primary beneficiaries of your work, enhancing the platform through continuous iterative feedback. You will find your place within a diverse team of Chemists and Computer Scientists, all of whom bring extensive knowledge in cheminformatics and software development. Our organization is a fervent advocate for open-source software development and encourages the public sharing of our collaborative achievements. Join us to advance your career and shape the future of experimental design in a stimulating and forward-thinking environment.
Required profile:
Qualifications
PhD in cheminformatics or machine learning
Demonstrated experience in chemical informatics, algorithms, and/or software design
Demonstrated working knowledge and application of statistics and data modeling to large scale life-sciences data.
What we expect:
Strong knowledge in chemical informatics, including methods to manipulate chemical structure information and representations (ideally using RDKit)
Mastering of chemical concepts (structure, reactivity, properties, some knowledge in experimental design is a plus)
Knowledge in programming (python)
Knowledge of Machine Learning techniques
Skills in data visualization and representation for analytics purposes is a plus
Fluency in spoken and written English language
Be an effective communicator, self-motivated, and able to drive insights into actions
What we offer:
What We Offer
Contribution to valuable and impactful work, in a stimulating environment -> #bringingplantpotentialtolife
Work in interdisciplinary teams
A superb working environment at our Global Research Center in Stein
Scientific and technical excellence
Scientific and technical support, including mentoring and tutoring
Continuous professional development and high scientific standards are foundations of our culture
State-of-the-art tools, access to professional infrastructure
Interested? We are looking for your online application. Please provide a Research Summary of 2-5 pages. Any applications submitted without a Research Summary will not be subject to further evaluation. Please be aware that the job title may differ from the position title. 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. We favor work life balance and enable flexible working.