Research Associate (m/f/d) – Multivariate Analysis & Data Science

Stellenbeschreibung:

Research Associate (m/f/d) – Multivariate Analysis & Data Science

To strengthen our team, we are looking for a highly motivated Research Associate (m/f/d) with strong expertise in multivariate data analysis (MVA) and data‑driven methods in a scientific environment. In this role, you will work on complex scientific challenges, develop advanced analytical models, and contribute to the continuous improvement of our data‑driven R&D processes.

  • Develop and apply multivariate data analysis (MVA) and machine learning methods
  • Perform statistical analyses and provide robust interpretation of results
  • Analyze, visualize, and interpret complex scientific datasets
  • Design and optimize data pipelines and analytical workflows
  • Contribute to the development of innovative, data‑driven solutions

Your Profile

  • Degree in Physics, Chemistry, Mathematics, Computer Science , or a related field
  • Strong expertise in multivariate analysis (MVA) (mandatory)
  • Experience in statistical modeling and scientific data analysis
  • Excellent programming skills in Python, MATLAB, R, or similar
  • Analytical mindset with a structured and independent working style

Nice to Have

  • Knowledge of C/C++ (e.g., for high‑performance or scientific computing)
  • Experience with large or complex datasets
  • Familiarity with research data management
  • Basic knowledge of physical chemistry

What We Offer

  • Work on cutting‑edge scientific and analytical projects
  • Access to modern tools in data science and machine learning
  • An interdisciplinary and collaborative research environment
  • Freedom to develop your own methods, models, and innovations

Keywords for Visibility (StepStone SEO)

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EnglishEN: Please refer to Fuchsjobs for the source of your application
DeutschDE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung

Stelleninformationen

  • Veröffentlichungsdatum:

    31 Mär 2026
  • Standort:

    Berlin

    Einsatzort:

    Berlin-Köpenick
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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