Accountabilities
- Learn and understand the Biology data landscape, key data attributes and experimental capabilities to identify opportunities for enabling and enhancing our science through the deployment of analytical methods
- Evaluate new data analysis tools—validate findings using a trial and iterative approach and effectively communicate findings to technical and non-technical audiences
- Identify data needs and provide recommendations to scientists to ensure the quantity and verify the integrity of data used for analyses through the application of statistical methods
- Work collaboratively as part of the Biology Digital teams and the wider data community to deliver reporting and analytical decision support tools, deploy new approaches, share learning, and drive innovation in digital and data science including technology foresight
- Drive data quality initiatives to improve data reliability and enable its reuse.
- Facilitate access to data by scientists through detailed knowledge of data landscape and infrastructure.
- Support business users with change management initiatives to manage data more effectively.
- You will work with stakeholders across different groups and locations to map the data landscape and work with R&D IT to ensure all data assets are appropriately captured, in addition to the development of analysis pipelines, building dashboards, and teaching individual scientists how to use them. Successful applicants will become part of the data science community within Syngenta.
Company Description
As a world market leader in crop protection, we help farmers to counter these 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.
Qualifications
Education & Experience
- MSc/PhD (or equivalent experience) in natural sciences with a focus on the analysis of data and data integration, data science and/or machine learning and experience in the integration and analysis of ‘omic data. Postdoctoral experience in life sciences research or experience in an R&D environment would be a plus.
Required Skills
- Enthusiasm for visual analytics and data science
- Dynamic personality with passion for innovation and problem-solving
- A good understanding of experimentally derived biological data, data types and appropriate analytical methods, fundamental statistical concepts including multivariate analysis
- Ability to work in multi-functional teams
- Thorough understanding and hands-on experience with the standard R/Python data science stack, including libraries used for data cleaning and visualization.
- Understanding of data-driven web apps and corresponding tooling, e.g. R Shiny/Plotly/Dash, including deployment.
- Familiarity with relational and non-relational data systems and understanding of good data management practices for scientific data
- Experience with version control systems, notebooks and creating reproducible digital workflows
- Proficiency in both written and verbal communication skills
- Ability to manage and contribute to projects autonomously
Desirable skills
- Experience in the analysis of imaging data
- Experience in the analysis of mass spec and proteomics data
- Knowledge in Cell Biology, Entomology, Phytopathology, and Developmental Biology
Additional Information
What we offer:
We offer a variety of financial and non-financial benefits including:
- We offer a position which contributes to valuable and impactful work in a stimulating and international environment
- A superb working environment at our Global Research Center in Stein with well-equipped laboratories with an open culture and diverse workforce
- The opportunity to work with and learn from highly qualified and experienced employees and gain scientific and technical excellence
- Learning culture (Together we Grow) and wide range of training options
- 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…)
Learn more about our team, our mission and how we achieve our goals.
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.
Interested? We look forward to receiving your online application including all relevant documents (cover letter, CV, diploma, certificates) – 18048233
Please be aware that the job title may differ from the position title.
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