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Johannes RennigJR

Johannes Rennig

Senior Data Science Consultant

EUR 680/Tag
Basel, CH
8-15 Jahre

Durchschnittliche Reaktionszeit: 1h

Über Johannes

I am an experienced data scientist and researcher with a background in neurology, experimental and clinical neuropsychology/neuroscience, neuroimaging, experimental design, statistical data analysis, and machine learning.

I have a strong publication record in international peer-reviewed journals and presented research at international conferences.

I am experienced using various data science tools in R (tidyr, dplyr, lme4, e1071, ggplot2) and Python (pandas, numpy, scikit-learn, scipy, statsmodels, matplotlib, seaborn, plotnine, PySpark) in a HPC cluster and cloud computing environment applying workflow tools like Snakemake.

I am experienced with collaborative code development (git) and Agile Scrum methodology and have served as Scrum Master of data science teams.
  • Deutsch

    Muttersprachlich oder zweisprachig

  • Englisch

    Verhandlungssicher

  • Französisch

    Grundkenntnisse

Vor Ort möglich
Basel (bis zu 50 km)

Projekt- und Berufserfahrung

  • Capgemini Engineering,
    Senior Data Science Consultant Life Sciences
    Juli 2023 - Januar 2025 (1 Jahr und 6 Monate)
    Basel, Switzerland
    • Analyzed data from various sources using regression, clustering and classification methods
    • Built and maintained data analysis pipelines from raw data to quality control, feature engineering and statistical analysis and visualization in Python and R
    • Communicated analysis results to internal and external project stakeholders
    Python Data Science Machine learning Statistics Life Sciences
  • Pharma Research & Early Development, F. Hoffmann-La Roche AG,
    Senior Data Scientist in Digital Biomarkers for Neurodegenerative Diseases
    Februar 2020 - Juni 2023 (3 Jahre und 4 Monate)
    Basel, Switzerland
    • Analyzed data from smartphones sensors and smartphone-based behavioral tests to track and understand patient behavior in clinical studies using Python and R
    • Validated novel smartphone-based behavioral tests and passive monitoring data with established neurological clinical exams and neuroimaging biomarkers
    • Communicated clinical study results to scientific, medical and non-scientific project stakeholders
  • University of Tübingen, Hertie-Institute for Clinical Neuroscience,
    Senior Research Scientist in Neuropsychology/Cognitive Neuroscience
    August 2019 - Februar 2020 (6 Monate)
    Germany
    • Applied behavioral and neuroimaging methods to study human object perception
    • Used machine learning methods (SVM, decision trees) and modeling techniques for lesion mapping in stroke patients

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Ausbildung und Abschlüsse

  • Doctor of Philosophy
    University of Tübingen, International Max Planck Research School
    2014
    Doctor of Philosophy

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