Senior Statistical Data Scientist

Employment Type

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

About the Opportunity

humani is the strategic HR partner with a well-funded, Switzerland-based seed engineering startup operating in stealth mode, backed by established family office investors with long-term commitment.

We are building a globally distributed, fully remote team of scientists and engineers who collaborate across time zones, disciplines, and industries. Our working model is intentionally flexible: contributors may join as consultants, freelancers, or part-time collaborators while maintaining other professional commitments. As the company grows, there will be opportunities to transition into full-time roles for those who wish to deepen their involvement.

The Role

We are 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.

Your focus is not model building for its own sake—it is enabling better scientific and business decisions through evidence, uncertainty quantification, and clear interpretation.

What You Will Do

Collaborate with seed engineers, breeders, biologists, and data engineers

Translate complex statistical results into clear, decision-ready insights

Design and analyse 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 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

What Success Looks Like. Within your first year, you will

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 organisation

Benefits

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

Get well compensated for your time while being capable to keep your morning or research arrangements

Special Conditions

This is not a sponsored visa job.

It requires trips in central Europe once a month for about 5 days. All relevant expenses are covered by the company.

We are looking for people that further to their strong background they do enjoy what they do and wish to make a manageble change to the world

Originally posted on Himalayas