corteva
corteva1d ago
New

Sr. Biostatistician

senior
BiostatisticianLaboratory & Life Sciences
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Quick Summary

Key Responsibilities

* Partner with stakeholders to translate scientific research questions into well-defined statistical problems, prioritize project goals,

Requirements Summary

* Experience in agricultural biology, plant science, or a related life science domain (e.g., trait discovery, greenhouse or field research, molecular diagnostics, in-vitro or in-planta assay systems).

Technical Tools
BiostatisticianLaboratory & Life Sciences
Corteva Agriscience is a global leader of seed, crop protection, and digital solutions in agriculture. We have an opening in our Seeds R&D team for an experienced Sr. Biostatistician to accelerate the discovery and delivery of next-generation biotechnology traits to the farmers that depend on them. This position supports a portfolio of research projects at the intersection of biology and quantitative science, contributing to critical decisions in trait discovery and development. The role applies strong statistical fundamentals to a diverse range of biological data types, including in-vitro, in-planta, and molecular assays, spanning qualitative and quantitative outputs, bounded data, and non-standard distributions. The successful candidate will operate as a dedicated partner to the Biotechnology organization, working closely with research scientists and engineers to shape critical research decisions while also benefiting from a broader community of peers in statistics and data science. The ideal candidate brings genuine curiosity about the underlying biology and an enthusiasm for understanding how assays contribute to the R&D pipeline. What You'll Do: * Partner with stakeholders to translate scientific research questions into well-defined statistical problems, prioritize project goals, and deliver actionable results through clear written and verbal communication. * Design, execute, and troubleshoot statistical analyses across a portfolio of projects using methods such as dose-response modeling, mixed models, GLMs, multivariate analyses, and nonparametric approaches. * Evaluate and improve experiment designs using data and simulation, including power analyses and characterization of sources of variation. * Collaborate with engineering teams to integrate statistical scripts into production workflows, including troubleshooting pipeline error. * Quantify assay correlations and cross-platform/cross-stage translation to support critical decisions for trait advancement. What Skills You Need: * M.S. in Statistics, Biostatistics, or a closely related quantitative field with 5+ years of industry experience, or Ph.D. with 3+ years of industry experience. * Strong applied statistics background including mixed models, GLMs, dose-response modeling, multivariate analyses, non-standard distributions, and design of experiments. * Experience working with biological data types including bounded (proportion/percentage) and ordinal data, qualitative and quantitative assay outputs. * Working knowledge of specialized methods relevant to biological data, including ordinal logistic regression, censored data models, and beta regression. * A collaborative mindset, including the ability to ask clarifying questions, navigate ambiguity, and co-develop statistical solutions with non-statistical partners across a project portfolio. * Proficiency in a statistical programming language (R strongly preferred); candidates working in other languages must demonstrate ability to validate code translations rigorously, including through AI-assisted tooling. ​Preferred Qualifications: * Experience in agricultural biology, plant science, or a related life science domain (e.g., trait discovery, greenhouse or field research, molecular diagnostics, in-vitro or in-planta assay systems). * Familiarity with software deployment practices, version control (e.g., Git), and collaborating with data and ML engineers to productionize analytical workflows. * Exposure to simulation-based methods for experiment design optimization and power analysis in complex biological systems.​ #LI-BB1 Benefits – How We’ll Support You: * Numerous development opportunities offered to build your skills * Be part of a company with a higher purpose and contribute to making the world a better place * Health benefits for you and your family on your first day of employment * Four weeks of paid time off and two weeks of well-being pay per year, plus paid holidays * Excellent parental leave which includes a minimum of 16 weeks for mother and father * Future planning with our competitive retirement savings plan and tuition reimbursement program * Learn more about our total rewards package here - Corteva Benefits * Check out life at Corteva! www.linkedin.com/company/corteva/life Are you a good match? Apply today! We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team. Corteva Agriscience is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws.

Location & Eligibility

Where is the job
Location terms not specified

Listing Details

Posted
May 20, 2026
First seen
May 20, 2026
Last seen
May 20, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
51%
Scored at
May 20, 2026

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cortevaSr. Biostatistician