Data Scientist Biologicals Research
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Job Location:
Monthly Salary:
Posted on:
7 hours ago
Vacancies:
1 Vacancy
Job Summary
At Syngenta our goal is to build the most collaborative and trustworthy team in agriculture providing top-quality seeds and innovative crop protection solutions that improve farmers success. To support this mission Syngentas Digital & Data Science Group in Biologicals Research is seeking a Data Scientist Biologicals Research in St. Johann Basel (Switzerland) or Jealotts Hill (UK). This role will support the delivery of omics phenotypic and environmental data to identify patterns in product performance and make predictions. You will analyze and interpret scientific experiments using analytical skills and machine learning approaches guiding the selection optimization and development of novel biological solutions.
Biologicals research discovers characterizes optimizes and produces novel biologicals derived from naturenaturally occurring microbes extracts or molecules that protect plants from pests and diseases or improve plant and soil this role you will work with Syngenta.
- Learn and understand the Biologicals data landscape key data attributes and experimental capabilities to identify opportunities for enabling and enhancing science through the deployment of analytical methods and multi-omics approaches.
- Evaluate and develop new data analysis tools validate findings using a trial and iterative approach and effectively communicate findings to technical and non-technical audiences.
- Curate large-scale omics datasets for biomarker mode of action and trait discovery while identifying data needs and providing recommendations to scientists to ensure data quantity and integrity for analyses.
- Shape Biologicals data analysis strategy and work collaboratively to deliver and deploy new approaches share learning and drive innovation in digital and data science including technology foresight.
- Work with R&D IT and software developers to improve predictive model deployment applications tailored to stakeholder needs and support business users with change management initiatives to manage data more effectively.
Qualifications :
Required Qualifications:
- MSc or PhD in Data Science Statistics Machine Learning Computational Biology Bioinformatics or related field with experience in natural sciences (e.g. chemical biology ecology environmental sciences).
- 3 years of experience applying machine learning to complex biological biochemical environmental or agricultural datasets.
- Strong understanding of experimentally derived biological data data types and appropriate analysis methods including multivariate statistics.
- Strong proficiency in Python and/or R UNIX/Linux environments and ML frameworks.
- Proven ability to handle large datasets and use data analysis packages for omics data analysis and data visualization.
Desired Qualifications:
- Demonstrated ability to inspire and collaborate with others to achieve excellence in scientific work.
- Strong passion for innovation and problem-solving with the ability to work effectively in a dynamic fast-paced environment.
- Experience working cross-functionally with IT software developers and business stakeholders to deploy data science solutions.
Additional Information :
Jealotts Hill International Research Centre UK is situated in pleasant semi-rural surroundings between Bracknell and Maidenhead and is the place of work for approximately 800 Syngenta scientists and support staff. Jealotts Hill is one of the main global research and development sites and key activities include research into discovery of new active ingredients new formulation technologies product safety and technical support of our product range.
What We Offer:
A culture that celebrates diversity & inclusion promotes professional development and strives for a work-life balance that supports the team members.
Extensive benefits package including a generous pension scheme bonus scheme private medical & life insurance.
Up to 31.5 days annual holiday plus 8 UK bank holidays.
36-hour working week.
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.
#LI-Hybrid
Remote Work :
No
Employment Type :
Full-time
Key Skills
- Laboratory Experience
- Machine Learning
- Python
- AI
- Bioinformatics
- C/C++
- R
- Biochemistry
- Research Experience
- Natural Language Processing
- Deep Learning
- Molecular Biology
About Company
To help feed 10 billion people while reducing emissions and improve biodiversity. This is our mission as the global agriculture technology leader. With 59,000 employees in more than 100 countries and hundreds of thousands of agricultural partners worldwide, we are committed to transfo ... View more
