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Stelle · Senior

Senior Statistical Data Scientist

Data Scientist • Senior • Remote • Vollzeit Schweiz Schweiz

humani, the strategic HR partner for a well-funded, Switzerland-based seed engineering startup operating in stealth mode, is looking for a Statistical Data Scientist who combines rigorous statistical thinking, scientific curiosity, and modern analytical methods to transform complex experimental and biological data into actionable insight.

Responsibilities

  • Collaborate with seed engineers, breeders, biologists, and data engineers
  • Translate complex statistical results into clear, decision-ready insights
  • Design and analyze biological and experimental datasets with statistical rigor
  • Build predictive models for breeding and product development decisions
  • Apply machine learning where it adds meaningful value beyond classical statistics
  • Ensure experimental conclusions are robust, reproducible, and well-validated

Requirements

  • MSc or PhD in Statistics, Biostatistics, Applied Mathematics, Quantitative Genetics, Econometrics, or a related field
  • Strong grounding in statistical inference, experimental design, regression, and mixed models
  • Experience with Python and/or R
  • Familiarity with predictive modelling and modern machine learning approaches
  • Strong communication skills and ability to simplify complex reasoning
  • Curiosity for scientific problem-solving beyond standard analytics

Soft skills

Strong communication skillsAbility to simplify complex reasoningScientific curiosity

What we offer

  • Work at the intersection of statistics, biology, and engineering where scientific thinking is central to every decision
  • Be part of a strong and truly international initiative
  • Get well compensated for your time while being able to keep your own research or morning schedule

About the company

humani is the strategic HR partner for a well-funded, Switzerland-based seed engineering startup operating in stealth mode, backed by established family office investors with long-term commitment. They are building a globally distributed, fully remote team of scientists and engineers collaborating across time zones, disciplines, and industries.

Education: MSc or PhD in Statistics, Biostatistics, Applied Mathematics, Quantitative Genetics, Econometrics, or a related field

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