Data Scientist (m/f/d)
Stellenbeschreibung
Overview
As a Data Scientist in Biologicals Research, you develop multi-omics integration and ML methods to interpret complex ‘omics data and guide the development of novel Biologicals. You’ll create tools to improve product performance prediction and support hypothesis-driven research. You will work closely with cross-functional teams and IT to deploy predictive models that inform selection and optimization. This role offers meaningful impact in advancing crop protection with data-guided insights.
Leistungen / Benefits- flexible working
- competitive pension fund
- bonus system
- onsite doctor
- fitness room
- canteen
- Develop and implement multi-omics integration strategies (data harmonization, feature engineering, network-based methods) to improve biological interpretation and hypothesis generation
- Advance machine learning, statistical modeling, and AI approaches to extract insights from high-dimensional multi-omics datasets
- Curate, quality control, and integrate large-scale omics datasets ensuring data integrity and reproducibility
- Evaluate and develop new data analysis tools, validate findings via iterative trials, communicate results to technical and non-technical audiences
- Identify data needs and advise scientists to ensure data quantity and integrity for analyses
- Collaborate to deliver new approaches, share learnings, and drive innovation in digital and data science
- Work with R&D IT and software developers to deploy predictive model applications tailored to stakeholder needs
- Support business users with change management initiatives to manage data more effectively
- MSc or PhD in Data Science, Statistics, Machine Learning, Computational Biology, Bioinformatics, or related field
- 3+ years developing multi-omics integration methods for complex datasets in biological, biochemical, environmental, or agricultural contexts
- Strong proficiency in Python and/or R, UNIX/Linux environments, ML frameworks, SQL
- Experience with proteomics and metabolomics data analysis is an asset
- Dynamic personality with passion for innovation and problem-solving
- communication to both technical and non-technical audiences
- collaboration and cross-functional teamwork
- problem-solving and adaptability
- multi-omics integration
- data harmonization
- feature engineering
