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Pablo PadillaPP

Pablo Padilla

Biostatistician / PhD Doctorate

€382/day
Liège, BE
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Pablo

Processing your data is fun, not missing the opportunity to exploit it well is even better!

Biostatistician with a doctorate in biology, I have worked on projects related to health, the environment, and ecology.

I am not looking to simply analyze your data but to support you in addressing the right questions, applying correct methods, and thus extracting rigorous and statistically robust results.

I am accustomed to complementing my analyses with a panel of graphical visualizations to highlight the key points of your results. I accompany each of my studies with a methodological report of the steps I have taken.

  • I use R for the majority of my statistical analyses (linear models, GLM, mixed models, GEE, GAM...)
  • I mainly use Python for data management (extraction, cleaning, automation, feature engineering) and visualization (seaborn/plotly for interactive dashboards). I also prefer using it for my predictive machine learning tests (classification or regression problems).
  • I am French, but I have worked with international colleagues for most of my career. I am used to reading, writing, and speaking English at work.
  • French

    Native or bilingual

  • English

    Fluent

  • Spanish

    Basic

Can work on-site
Liège (up to 50km)

Experience

  • Institut Scientifique de Service Public - ISSeP
    Health Environment Unit Officer
    PUBLIC SECTOR
    March 2025 - March 2026 (1 year)
    Liege, Belgium
    -Statistics referent on a biomonitoring project determining factors related to PFAS impregnation in the population (cleaning, automation, analyses, and visualizations using Python and R)
    -Project manager on a project evaluating the presence of pesticides in the ambient air
    -Co-leader of a project measuring drift risks related to pesticides in orchards
    Python R Project management Data analysis Statistics
  • F.R.S. - FNRS
    Doctoral Researcher
    ENVIRONMENTAL
    September 2019 - March 2024 (4 years and 6 months)
    Liege, Belgium
    4 years of work on a multidisciplinary project aiming to evaluate the adaptation capacities of an invasive species to climate change.
    R Project management Data analysis Data visualisation Scientific research
  • Muséum National d'Histoire Naturelle UMR 7179 MECADEV
    Voluntary work
    ENVIRONMENTAL
    September 2018 - October 2019 (1 year and 1 month)
    Paris, France
    Participation in multiple projects on invasive species. Management of a laboratory animal facility, in vitro data acquisition, statistical analyses using R (GLM, mixed models, video tracking), publications in scientific journals, and presentations at international conferences.
    R Project management Data analysis Statistics Scientific research

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Education

  • 1360-hour Data Analyst/Scientist Training
    Technifutur
    2025
    Data Scientist/Data Analyst, Traitement des données
  • Doctorate
    University of Liège
    2024
    Doctorat

Skill set

Categories