Senior Statistical Data Scientist

HumanI; Genf; Vor Ort; CHF 110.000 - 150.000; Vollzeit

Zusammenfassung

HumanI seeks a Statistical Data Scientist to transform complex biological data into actionable insights, using rigorous statistics and modern methodologies. You will work with engineers, biologists, and data teams across time zones to enable evidence-based decisions.

Responsibilities include designing experiments, building predictive models for breeding and product development, and applying machine learning where it adds value, while ensuring robustness and reproducibility of results.

Qualifikationen

• 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 ML approaches.

Aufgaben

• 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 rigour.
• 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.

Kenntnisse

Statistical inference

Experimental design

Regression analysis

Mixed models

Python

R

Predictive modelling

Machine learning

Communication skills

Scientific problem solving

Ausbildung

MSc or PhD in Statistics / Biostatistics / Applied Mathematics / Quantitative Genetics / Econometrics

Tools

Python

R

Jobbeschreibung

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
• 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