Stellenbeschreibungh3strongEmployment Type /strong /h3pRemote (Global) | Flexible Engagement | Switzerland-based Startup (Stealth) /p h3About the Opportunity /h3phumani 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. /ppWe 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. /ph3 /h3h3The Role /h3pWe 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. /ppYour focus is not model building for its own sake—it is enabling better scientific and business decisions through evidence, uncertainty quantification, and clear interpretation. /ppstrongWhat You Will Do /strong /pulliCollaborate with seed engineers, breeders, biologists, and data engineers /liliTranslate complex statistical results into clear, decision-ready insights /liliDesign and analyse biological and experimental datasets with statistical rigor /liliBuild predictive models for breeding and product development decisions /liliApply machine learning where it adds meaningful value beyond classical statistics /liliEnsure experimental conclusions are robust, reproducible, and well-validated /li /ulpstrongRequirements /strong /ppstrongWhat You Bring /strong /pulli MSc or PhD in Statistics, Biostatistics, Applied Mathematics, Quantitative Genetics, Econometrics, or related field /lili Strong grounding in statistical inference, experimental design, regression, and mixed models /lili Experience with Python and/or R /lili Familiarity with predictive modelling and modern machine learning approaches /lili Strong communication skills and ability to simplify complex reasoning /lili Curiosity for scientific problem-solving beyond standard analytics /li /ul pstrongWhat Success Looks Like. Within your first year, you will: /strong /pulliImprove experimental design and analytical quality /liliBecome a trusted scientific advisor across teams /liliDeliver predictive models that influence real-world decisions /liliStrengthen evidence-based decision-making across the organisation /li /ulpstrongBenefits /strong /pulliWork at the intersection of statistics, biology, and engineering in a company where scientific thinking is central to every decision. /liliBe part of a strong and truly international initiative /liliGet well compensated for your time while being capable to keep your morning or research arrangements /li /ul h3strongSpecial Conditions /strong /h3ulliThis is not a sponsored visa job. /liliIt requires trips in central Europe once a month for about 5 days. All relevant expenses are covered by the company. /liliWe 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 /li /ul
