Scientific Data Analyst

Company Description

About Syngenta:

Syngenta is a leading science-based Ag-tech company; dedicated to bringing plant potential to life. Each of our 48,000 employees in more than 90 countries work together to solve one of humanity’s most pressing challenges: growing more food with fewer resources. A diverse workforce and an inclusive workplace environment are enablers of our ambition to be the most collaborative and trusted team in agriculture. 

Our employees reflect the diversity of our customers, the markets where we operate and the communities which we serve. No matter what your position, you will have a vital role in safely feeding the world and taking care of our planet. Join us and help shape the future of agriculture. 

Job Description

About this opportunity: Streamline our data and processes for Predictive Science and Digital Innovation within Product Safety, Crop Protection R&D.

With one of the most productive research and development pipelines in the industry, our Product Safety organization plays a vital role in getting our much-needed products to farmers to control disease, pests and weeds that impact their crop. Using our scientific excellence and application of rigorous safety and regulatory standards, Product Safety ensures Syngenta’s products can be used safely and sustainably with minimal risk.

As part of the Crop Protection strategic agenda, there has been significant focus and investment in predictive science and digital transformation throughout our research and development functions and pipeline.  Our digital challenges are vast and unique, and data underpins our activities.

Therefore, we are looking for a competent Data Analyst to help us transform our data into the foundation for predictive science and digital innovation. The ideal candidate is a data enthusiast who demonstrates attention to detail and enjoys setting up processes and systems to make working with data more efficient.

As a Data Analyst, you will work with  our modellers, data engineers and data scientists on data initiatives and will ensure optimal data delivery to these customers. With some work experience you should have up-to-date expertise in data science plus a solid background in fundamental statistical concepts and a good understanding of the challenges and common pitfalls in both applications.

 As a member of Product Safety, you will be working directly with project scientists and modellers across a wide range of disciplines. You will be responsible for collating and transforming raw data from across multiple sources, developing and maintaining datasets, improving data quality, building APIs for data consumption and integrating external or new data types to assist development of predictive models in the areas of Human and Environmental Safety. In addition, you may also be responsible for analysing data to identify trends and researching new ways to make use of data.

Qualifications

Qualifications:

You are likely to have a Degree or equivalent in STEM or a data/informatics-related field along with practical work experience of building data pipelines and overseeing ETL (extract, transform, load) process to convert data into appropriate format for utilization.

Proficiency in SQL, R and/or Python is expected. Interest in and knowledge about heterogeneous scientific data (e.g., biology, chemistry, biochemistry, toxicology) from various sources (in-house, commercial and public) created within different research areas would be an advantage.

Familiarity with data standards such as CDISC and biomedical terminologies/ ontologies like NCI Thesaurus, MedDRA, SNOMED CT, MeSH, LOINC, Uberon, RxNorm) would also be beneficial.

Excellent communication skills and the ability to work collaboratively in a multi-disciplinary team are essential to ensure that analyses are conducted in the most appropriate way and that results are interpreted correctly.

In return for your skills and knowledge Syngenta will offer:

• Campus environment and opportunity for flexible, hybrid working conditions
• Competitive benefits package
• Up to 31.5 days holiday
• The opportunity to work with and learn from highly qualified and experienced employees

Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion, or any other employment practices for reasons of race, colour, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.

Additional Information

We embrace and encourage diversity, and this is what drives our innovation and lets us outperform the market. https://www.syngenta.com/careers/working-syngenta/diversity-and-inclusion