Statistical Data Scientist

Employment Type: Remote (Global) | Flexible Engagement | Switzerland-based Startup (Stealth)

About the Opportunity

We are humani, a strategic HR partner for a well-funded, Switzerland-based seed engineering startup operating in stealth mode. We are backed by established family office investors with a long-term commitment and are building a globally distributed, fully remote team of scientists and engineers collaborating across time zones, disciplines, and industries. Our working model is intentionally flexible, allowing contributors to join as consultants, freelancers, or part-time collaborators while maintaining other professional commitments. Opportunities for full-time roles will arise as the company grows.

The Role

We are seeking a Statistical Data Scientist who combines rigorous statistical thinking, scientific curiosity, and modern analytical methods to transform complex experimental and biological data into actionable insights. Your focus will be on enabling better scientific and business decisions through evidence, uncertainty quantification, and clear interpretation, rather than solely on model building.

What You Will Do:

• 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.

What You Bring:

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

What Success Looks Like (Within your first year):

• Improve experimental design and analytical quality.
• Become a trusted scientific advisor across teams.
• Deliver predictive models that influence real-world decisions.
• Strengthen evidence-based decision-making across the organization.

What We Offer:

• Work at the intersection of statistics, biology, and engineering in a company where scientific thinking is central to every decision.
• Be part of a strong and truly international initiative.
• Receive fair compensation while maintaining flexibility for your other commitments.

Special Conditions:

• This is not a sponsored visa job.
• Requires monthly trips to Central Europe for approximately 5 days, with all expenses covered.
• We seek individuals with a strong background who are passionate about their work and wish to make a manageable change in the world.