Data Scientist

StudySmarter; Luzern; Vor Ort; CHF 47.000 - 57.000; Vollzeit

Benefits dieser Stelle

Flexible working

Pension fund

Bonus system

Onsite doctor

Fitness room

Canteen

Zusammenfassung

StudySmarter seeks a Data Scientist in Biologicals Research to develop multi-omics integration and ML methods for interpreting complex omics data and guiding the development of novel Biologicals. You will create tools to improve product performance prediction and support hypothesis-driven research, collaborating with cross-functional IT teams to deploy predictive models.

This role offers meaningful impact in advancing crop protection with data-guided insights and requires strong data

Qualifikationen

• Experience with multi-omics data and data integration.
• Ability to design and apply ML models to omics datasets.
• Strong data quality and reproducibility practices.
• Ability to communicate results to both technical and non-technical audiences.

Aufgaben

• Develop multi-omics integration strategies to improve biological interpretation.
• Advance ML and AI approaches to extract insights from high-dimensional data.
• Curate and quality-control large-scale omics datasets for reproducibility.
• Evaluate new data tools and validate findings through iterative trials.
• Collaborate with scientists to ensure data quantity and integrity.
• Work with R to implement analyses.

Kenntnisse

Multi-omics integration

ML methods

R programming

Data analysis

Statistical modeling

Collaboration

Tools

R

Jobbeschreibung

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

Verantwortungsbereiche

• 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

Salary: EUR 49500 - 60500 per year