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Stelle
· Senior
Senior Statistical Data Scientist
Data Scientist
• Senior
• Remote
• Vollzeit
•
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.
Stack
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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