高级统计数据科学家
Senior Statistical Data Scientist
职位类型
远程（全球）| 灵活合作 | 瑞士初创公司（秘密状态）
关于该机会
humani 是一家资金充足的瑞士种子工程初创公司战略人力资源合作伙伴，目前处于保密状态，由有长期承诺的知名家族办公室投资者支持。
我们正在组建一个全球分布、完全远程的科学家和工程师团队，他们跨时区、跨学科、跨行业协作。我们的工作模式有意保持灵活：成员可以以顾问、自由职业者或兼职合作者的身份加入，同时保持其他专业职责。随着公司的发展，希望深入参与的人将有机会转为全职岗位。
职位描述
我们正在寻找一位统计数据科学家，他能够结合严谨的统计思维、科学好奇心和现代分析方法，将复杂的实验和生物数据转化为可操作的见解。
你的重点不是为了建模而建模——而是通过证据、不确定性量化和清晰的解释来促进更好的科学和商业决策。
你将负责
- 与种子工程师、育种者、生物学家和数据工程师合作
- 将复杂的统计结果转化为清晰、可决策的见解
- 以统计严谨性设计和分析生物和实验数据集
- 为育种和产品开发决策构建预测模型
- 在经典统计学之外，应用机器学习以增加实际价值
- 确保实验结论是稳健、可重复且经过充分验证的
要求
你将带来的能力
- 统计学、生物统计学、应用数学、数量遗传学、计量经济学或相关领域的硕士或博士学历
- 扎实的统计推断、实验设计、回归和混合模型基础
- 具有 Python 和/或 R 的经验
- 熟悉预测建模和现代机器学习方法
- 强大的沟通能力，能够简化复杂推理
- 对超越标准分析的科学问题解决充满好奇
成功的表现。在第一年中，你将：
- 提高实验设计和分析质量
- 成为跨团队的可信科学顾问
- 提供影响现实决策的预测模型
- 加强组织内的基于证据的决策能力
查看英文原文
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
Requirements
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