Quantitative Genetics Senior Scientist
Hace 1 semana
Barcelona, Barcelonés (comarca); Provincia de Barcelona; Cataluña, España
Jobrapido
Jornada completa
Gratis con email o Google
Guarda esta oferta y sigue tu búsqueda
Crea una cuenta gratis para guardar empleos, crear alertas y volver a esta oferta desde tu panel.
Gratis con email o Google
Al continuar, aceptas nuestros Términos & Política de Privacidad.
Overview
Senior scientist leading quantitative genetics research to enable precision breeding and product design. You will guide cross-functional teams across the Product Design pipeline, delivering high-quality germplasm, data, and prescriptions. You’ll apply advanced genomics, modeling, and data science to improve breeding programs and product performance. This role offers a chance to shape innovations in a global, collaborative environment. Join Bayer to help drive genetic gain at scale and contribute to sustainable agriculture.
Responsabilidades
Lead quantitative genetics innovations in the Product Design pipeline
Design improved germplasm cohorts aligned with Product Concept targets from crossing to handoff
Support precision breeding innovations in Product Design
Develop and apply models, algorithms, and systems for breeding program design, goals, and data acquisition at scale
Identify opportunities for new technology implementation and process improvement
Collaborate with multi-function teams across regions (LATAM, EMEA, APAC) to support Precision Breeding projects
Support Health, Safety, Environment, Compliance and Human Rights policies at the site
Requisitos principales
PhD with minimum 4 years of relevant experience or MS with 8+ years in quantitative genetics methods for breeding programs
Experience working in cross-functional and cross-cultural teams
Ability to lead and influence stakeholders and projects without direct reporting lines
Proven track record in analyzing large biological data sets and coding in C, Fortran or similar languages
Proven experience deriving quantitative genetics theory for breeding program design, goal definition, or data acquisition at scale (plant or animal)
cross-functional collaboration
leadership and influence
results-oriented
quantitative genetics methods
genetic evaluation
modeling and computational biology