Micropep is building a more sustainable agriculture for future generations. We develop natural crop protection solutions based on the incredible potential of micropeptides, small natural protein molecules that target and regulate plant genes and proteins. We are building the next generation of sustainable solutions for farmers who care about their crops and the future of our planet.

Micropep was founded in 2016 as a spin-off of "LRSV", a French plant research laboratory of the Centre National de la Recherche Scientifique (CNRS) and the University of Toulouse, a center of excellence in AgriTech. To date, Micropep has raised nearly $60 million from leading European and American investors and began its expansion in the United States in 2022.

We are a team of roughly 50 accomplished and motivated people from different scientific, technical and business backgrounds. We are united by our desire to leave a positive impact on our planet. Together, we are revolutionizing crop protection with our proprietary micropeptide technology.

Your Mission

As a Senior Biostatistician, you will be a cornerstone of our Data Science department, driving the statistical excellence that underpins our entire R&D pipeline, from early discovery to field validation and industrialization. Your mission is to transform complex, high-dimensional biological data into robust, actionable insights that directly accelerate peptide discovery, development and innovation.

You will play a pivotal role in designing and optimizing experiments across Biology, Chemistry, Molecular Biology, Bioproduction, and Field Trials, ensuring statistical rigor and reproducibility at every stage. By embedding statistical thinking into the design-test-learn loop, you will help generate high-quality data that fuels our machine learning models and decision-making frameworks.

Your work will not only enhance the scientific credibility of our findings but also unlock value from data, enabling smarter resource allocation, faster iteration cycles, and more confident go/no-go decisions. In doing so, you will contribute to building a scalable knowledge base that empowers cross-functional teams and strengthens our competitive edge in next-generation peptide-based crop protection solutions.

Key Responsibilities

• Experimental Design: Design robust and efficient experiments (DOE) for a wide range of applications, including greenhouse assays, laboratory experiments, and large-scale, multi-location field trials.
• Data Analysis & Modeling:
  • Analyze and support interpretation of complex datasets
  • Perform statistical analysis on a wide array of complex datasets from our various R&D platforms, including (but not limited to) plant phenotyping, molecular biology ('omics'), formulation chemistry, and bioproduction.
• Develop and apply appropriate statistical models, such as linear and non-linear mixed models, multivariate analysis, and predictive modeling.
• Pipeline Development & Industrialization:
  • Contribute to the industrialization of our R&D processes by developing, deploying, and maintaining robust and scalable data analysis pipelines to streamline routine analyses and ensure reproducibility.
• Strategy & Methodology:
  • Develop and implement new statistical methodologies and best practices across all R&D departments.
• Ensure data quality, integrity, and traceability from collection to reporting.
• Provide statistical guidance and training to research scientists to foster a data-driven culture.
• Communication: Clearly communicate statistical concepts and results to non-statistical audiences. Prepare detailed reports, data visualizations, and presentations for internal teams and stakeholders.

Required Profile & Qualifications

• Education: A PhD or Master's degree (MSc) in Biostatistics, Statistics, Mathematics, or a related quantitative field.
• Experience: A minimum of 10 years of experience in a similar role in private sectors, demonstrating a strong track record in applied statistics.
• Domain Expertise:
  • Proven experience in the agricultural (Ag) sector is highly required.
  • Direct experience with the design and analysis of field trial data is a significant advantage.
  • Demonstrated experience handling diverse biological datasets, ideally including plant phenotyping, molecular biology, and/or chemistry data.

Technical Skills

• Mastery of statistical principles, particularly in Design of Experiments (DOE).
• Proficiency in statistical programming. Advanced skills in R are highly appreciated (lme4, emmeans, agricolae, multcomp…)
• Experience with data visualization tools and techniques.

Soft Skills

• Excellent problem-solving skills and a rigorous scientific mindset.
• Strong ability to work collaboratively in a cross-functional team environment.
• Fluent in English; proficiency in French is a plus.

What We Offer

• The opportunity to work in a fast-growing, cutting-edge startup with a meaningful mission: to create a sustainable future for agriculture.
• A stimulating and collaborative scientific environment.
• A key role with high impact and visibility within the company.
• A competitive salary package based on your profile and experience.
• A vibrant work location in Toulouse, a European hub for life sciences and aerospace.