Modelling Platform Science Lead
Modelling Platform Science Lead
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Job Description
At Syngenta Crop Protection there has been significant focus and investment in predictive science and digital transformation revolutionizing research and development for sustainable food production. We have recently developed PRIME a cuttingedge predictive modelling platform and we are seeking a talented individual to lead its success.
As the Modelling Platform Science Lead you will provide strategic direction guide technical and scientific governance and bridge the gap between the R&D expert modelling community and R&D IT. Your role involves supporting diverse modelling communities across R&D identifying new opportunities for model deployment at scale and exploring new technologies for model building and validation. You will be accountable for the overall success of the platform providing strategic direction and guiding technical and scientific governance aspects.
If you are passionate about science and innovation with expertise in data science and predictive modelling join us and become part of a dynamic network of data science practitioners contributing to the success of our organisation.
What are we looking for
- Background in predictive modelling in the physical or life sciences at a postgraduate level.
- Prior wetlab experience (e.g. biology chemistry toxicology environmental science) is a plus.
- Experience working in an academic or industrial R&D setting.
- Strong Python skills and familiarity with standard data science tooling for datadriven modelling / machine learning.
- Understanding of the model lifecycle and tools to manage it as well as technical aspects such as deployment containerization/virtualization and handling metadata. Experience with DataIKU/DSS is a plus but not essential.
- Strong analytical thinking and problemsolving skills adaptability to different business challenges and openness to new solutions and different ways of working.
- Curiosity and ability to acquire domain knowledge in adjacent scientific areas to effectively work across internal teams and quickly get up to speed with different modelling approaches.
- Understanding of mathematical/mechanistic modelling is a plus.
Additional Information :
Our site
Jealotts Hill International Research Centre UK is situated in pleasant semirural 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
- Extensive benefits package including a generous pension scheme bonus scheme private medical & life insurance.
- Up to 31.5 days annual holiday.
- Flexible & Hybrid working
- We offer a position which contributes to valuable and impactful work in a stimulating and international environment.
- The opportunity to develop and apply your science within the chemical industry.
- The chance to work as part of a global team to address the current and future needs of the agricultural sector.
- Learning culture and wide range of training options.
Syngenta has been ranked as a top 5 employer and number 1 in agriculture by Science Journal.
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. Learn more about our D&I initiatives here:
Jealotts Hill has Disability Confident certification.
We are committed to making all stages of our recruitment process accessible to all candidates and our Jealotts Hill site are a Disability Confident Level 2 Employer. Please let us know if you need any assistance or reasonable adjustments throughout your application and we will do everything we can to support you.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
