Cell Painting Data Analyst

Company Description

Syngenta Crop Protection is a leader in agricultural innovation, bringing breakthrough technologies and solutions that enable farmers to grow healthy and nutritious food while taking care of the planet. We offer a leading portfolio of crop protection solutions for plant and soil health, as well as digital solutions that transform the decision‐making capabilities of farmers. Our 17,900 employees serve to advance agriculture in more than 90 countries around the world.

Syngenta Crop Protection is headquartered in Basel, Switzerland, and is part of the Syngenta Group.

Our employees reflect the diversity of our customers, the markets where we operate and the communities which we serve. Regardless of your position, you will have a vital role in safely feeding an ever‑increasing population while taking care of our planet. Join us and help shape the future of agriculture.

We have an exciting opportunity for a Cell Painting Data Analyst to join our Research Predictive Science team within Product Safety. In this role, you will apply advanced statistical and machine learning approaches to high‑content imaging data, contributing to innovative predictive safety strategies. Working at the interface of biology, imaging, and data science, you will translate complex cell painting datasets into insights that guide early research and safety decisions.

Key responsibilities will include:

• Processing, curating and analyzing high‑dimensional Cell Painting datasets, ensuring data quality and consistency across experiments.
• Developing and applying statistical and exploratory data analysis approaches to extract meaningful morphological features and phenotypic signatures.
• Supporting, developing and implementing computational workflows for image‑based profiling, including feature extraction, normalization, and dimensionality reduction.
• Collaborating with biologists and toxicologists to interpret phenotypic patterns and explore how morphological signatures may relate to cellular processes relevant to safety assessment.
• Evaluating and comparing analytical methods, assessing performance, robustness, and suitability for Cell Painting applications.
• Documenting workflows, summarizing results, and communicating findings clearly to cross‑functional scientific teams.
• Supporting integration of approaches into other workflows and working with RDIT teams where required to achieve robust pipelines.

What we are looking for

• Educated to PhD level, with experience applying innovative data science and analytics in a biological context.
• Demonstrated experience with statistical methods relevant to feature extraction from images, normalization of phenotypic data, quality control, and multivariate analysis.
• Proficiency in data analysis and visualization with the ability to build and maintain reproducible data analysis workflows, with programming experience (e.g. Nextflow, Knime, R or Python).
• Knowledge of multi‑dimensional data architecture, including metadata management, cross‑system data integration, and efficient data retrieval across multiple sources.
• Strong problem‑solving skills with the ability to translate complex datasets into meaningful insights.
• Ability to present analytical findings to multidisciplinary scientific teams.
• Demonstrated technical leadership, with the ability to understand complex challenges, define a clear path forward and guide teams through technical challenges.

• Cell biology knowledge and experience with Cell Painting assay workflows or high‑content imaging experimental setup.
• Familiarity with dimensionality reduction, clustering, batch correction methods, and visualization of large biological datasets.
• Experience with machine learning and computer vision approaches.
• Understanding of toxicology, pharmacology, or safety assessment.

Application process

Due to exceptionally high interest in this position, we will only consider applications that include a covering letter explaining your motivation and suitability for the role

Please upload your CV and write your cover letter in the “Message to the Hiring Team” section on the application page or attach…