AIML Technical Expert – Predictive safety & multimodal biology

We have an exciting opportunity for a a scientifically rigorous and innovative AI/ML Technical Expert to advance predictive safety and strengthen early research decision-making through data-driven and mechanistic approaches. Within the role working at the interface of biology computational science and artificial intelligence you will translate priority safety questions into robust modelling strategies interpretable insights and scalable analytical capabilities. The role will contribute to the development of a predictive safety framework that enables earlier identification of risk improves mechanistic understanding and enhances the quality and confidence of decision-making across research programs. Key responsibilities will include:

• Partnering with toxicologists biologists chemists bioinformaticians and data scientists to define priority questions for predictive safety.
• Leading the development and evaluation of advanced AI/ML methodologies and predictive modelling approaches to address strategic safety questions.
• Applying machine learning artificial intelligence statistical modelling and knowledge-driven approaches to extract meaningful biological signals (such as mechanisms of toxicity AOPs and safety-related outcomes) from large complex and heterogeneous datasets.
• Translating modelling outputs into actionable scientific insight that supports project and portfolio decisions.
• Evaluating Evaluate emerging AI modelling and computational-biology methods while identifying applications that offer practical scientific value.
• Communicating complex computational findings clearly and credibly to multidisciplinary audiences.

Qualifications :

What we are looking for

• PhD (or equivalent experience) in Computational Biology Bioinformatics Systems Biology Computational Toxicology Data Science Computer Science Biomedical Engineering or a related discipline.
• Demonstrated experience integrating diverse biological data types and extracting meaningful biological insight from complex high-dimensional datasets.
• Strong programming skills in Python and experience with modern data science and machine learning frameworks.
• Proven experience in developing validating and applying AI/ML statistical or computational biology approaches to address biological questions while building reproducible computational workflows analytical pipelines and scientific software tools.
• Self-starter with enthusiasm flexibility and desire to learn and apply new skills.

Desirable Experience

• Experience in computational toxicology predictive safety agrochemical research pharmaceutical discovery environmental science or another applied research setting.
• Familiarity with adverse outcome pathways mode-of-action frameworks systems toxicology network biology or causal inference.
• Experience with chemical informatics molecular descriptors structural alerts read-across QSAR or exposure- and hazard-modelling approaches.
• Background in applying AI to biological or toxicological data including multimodal learning graph-based methods foundation models or representation learning with experience in using phenotypic imaging cell painting transcriptomic metabolomic or other molecular data as supporting evidence for model development or mechanistic interpretation.

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.
• 31.5 days annual holiday.
• We offer a position which contributes to valuable and impactful work in a stimulating and international environment.  
• The chance to work as part of a global team to address the current and future needs of the agricultural sector and help feed an ever-increasing population.
• A vibrant growth and learning with wide and varied social communities to join 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