Multi-Omics Data Scientist for Biologicals Research

StudySmarter

Luzern

Vor Ort

CHF 47.000 - 57.000

Vollzeit

Vor 3 Tagen
Sei unter den ersten Bewerbenden
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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

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

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