We have an exciting opportunity for a Cell Painting Data Analyst to join our Research Predictive Science team within Product this role you will apply advanced statistical and machine learning approaches to highcontent 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 highdimensional 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 imagebased 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 communicate findings clearly to crossfunctional scientific teams.
- Supporting integration of approaches into other workflows and working with RDIT teams where required to achieve robust pipelines.
Qualifications :
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 problemsolving 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.
Desirable Skills
- Cell biology knowledge and experience with Cell Painting assay workflows or highcontent imaging experimental setup.
- Familiarity with dimensionality reduction clustering batch correction methods and visualization of large biological datasets.
- Experience with machine learning and computer visions approaches.
- Understanding of toxicology pharmacology or safety assessment.
Additional Information :
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 it along with your CV.
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.
- We offer 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.
- A vibrant growth and 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
We have an exciting opportunity for a Cell Painting Data Analyst to join our Research Predictive Science team within Product this role you will apply advanced statistical and machine learning approaches to highcontent imaging data contributing to innovative predictive safety strategies. Working at ...
We have an exciting opportunity for a Cell Painting Data Analyst to join our Research Predictive Science team within Product this role you will apply advanced statistical and machine learning approaches to highcontent 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 highdimensional 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 imagebased 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 communicate findings clearly to crossfunctional scientific teams.
- Supporting integration of approaches into other workflows and working with RDIT teams where required to achieve robust pipelines.
Qualifications :
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 problemsolving 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.
Desirable Skills
- Cell biology knowledge and experience with Cell Painting assay workflows or highcontent imaging experimental setup.
- Familiarity with dimensionality reduction clustering batch correction methods and visualization of large biological datasets.
- Experience with machine learning and computer visions approaches.
- Understanding of toxicology pharmacology or safety assessment.
Additional Information :
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 it along with your CV.
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.
- We offer 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.
- A vibrant growth and 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
View more
View less