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QSAR Modeller

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Job Location drjobs

Bracknell - UK

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

We have an exciting opportunity for a QSAR Modeller to help drive the invention of safe and sustainable active ingredients through QSAR modelling AI and data analytics. Within this role you will focus on providing QSAR cheminformatics and machine learning modeling support to Crop Protection R&D helping teams to identify high quality compounds with the right balance of properties and inform chemical design and testing strategies. Key responsibilities will include:

  • Building predictive models relating chemical structure and/or properties to endpoints relevant for agrochemical research (particularly human safety human exposure environmental fate environmental exposure and ecotoxicology.
  • Liaison with functional representatives to understand data and modelling requirements and integrate this into plans for delivery with interrogation and curation of data for model building.
  • Managing and interpreting outputs from models including specification problem solving reporting and interpretation for deployment to end users.
  • Communicating of model development use and limitations to a wide and varied community of end users.
  • Seeking out latest developments in computational technology and in consultation with senior technical experts assesses their potential use to support early stage research.
  • Giving presentations to support the scientific credibility.

Qualifications :

What we are looking for

  • A PhD or equivalent experience in cheminformatics chemistry or a related field.
  • Understanding of chemical structure and properties and an ability to identify the relevant considerations for a particular endpoint.
  • Knowledge of applied statistical methods for data analysis (univariate and multivariate methods).
  • Experience in predictive machine learning-driven modelling (such as multiple linear regression SVM random forest neural networks etc.).
  • Experience with R and/or python essential.
  • Ability to communicate across functional boundaries.
  • Prior knowledge in Large Language Models toxicology or environmental safety of chemicals would be beneficial.


Additional Information :

Our site

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

  • Extensive benefits package including a generous pension scheme bonus scheme private medical & life insurance.
  • Up to 31.5 days annual holiday.
  • Campus environment.
  • A position which contributes to valuable and impactful work in a stimulating and international environment.  
  • The chance to work with and learn from highly qualified and experienced employees.
  • 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: 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 :

Full-time

Employment Type

Full-time

About Company

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