Research Associate Quantitative Genetics

Oude Campsweg 35C, De Lier, Netherlands

Dümmen Orange is the world’s largest breeder and propagator of cut flowers, bulbs, tropical plants, pot plants, bedding plants and perennials. For our Research & Development department in De Lier, we are looking for a Research Associate Quantitative Genetics.

Job objective
Our organization grows and flourishes. This results in a fast-changing and, therefore, challenging environment. As Research Associate Quantitative Genetics you will strengthen our team of Genetics and Genomics which is part of the Trait Genetics group. With your background in statistics and genetics, you will contribute to the design of algorithms and pipelines. You will apply these and other technologies to create tools and deliver molecular markers for technology-informed and marker-assisted breeding in a diverse range of crops. Collaboration is an important feature of the job, and you will work closely with other geneticists as well as be a part of multidisciplinary project teams. You will report to the Technology Lead Trait Genetics in de Lier.

Your tasks and responsibilities
•    Design, improve and maintain algorithms and pipelines in data visualization, quantitative genetics, germplasm management, genomics and marker-assisted breeding as well as contribute to the development of decision-support tools for breeding and research.
•    Initiate, manage and execute projects and significant workpackages focused on Quantitative Genetics.
•    Perform scouting activities for novel tools and technologies.
•    Collect, curate and integrate genomic and phenotypic datasets.
•    Translate findings to optimal application of tools and information.
•    You will also bring quantitative genetics and statistical expertise to the team.
•    You are expected to collaborate closely with other research teams (mainly Computational Biology, Plant Physiology, Trait Discovery, and Phytopathology) and manage relationships with stakeholders such as Technology Application and Breeding.

Your profile
•    PhD (or MSc degree with at least 2 years of work experience) in a relevant field in biology (for example animal or plant breeding, plant science, genetics, bioinformatics or similar).
•    Proven track record in experimental design and in the analysis of (field) trial data, quantitative genetics (linkage mapping, GWAS, heritability estimation, random regression) and exploration of genomic datasets.
•    Excellent programming and visualisation skills in R are a must and ideally you also master one or more other relevant programming languages (such as Python, Fortran, C++).
•    Knowledge of polyploid crop genetics.
•    Proven skills in statistics (multivariate analyses, GLMMs) and some experience with machine learning is preferred.
•    Affinity with plant biology and plant breeding.
•    Ability to work independently as well as in fast-paced multidisciplinary teams.
•    Inquisitive, innovative and critical mind-set and a creative and pro-active attitude.
•    Excellent written and oral communication skills.
•    Excellent command of English and willingness to learn Dutch.

We offer
Dümmen Orange has great global ambitions. Innovation, technology and quality are high priorities. This results in a challenging working environment in which you can develop yourself. Dümmen Orange offers its employees plenty of room for personal growth and development. We have an informal and easy accessible working environment in which cooperation is very important. We offer a competitive salary and good pension scheme.

Dümmen Orange     
Dümmen Orange is the world’s largest breeder and propagator of flowers and plants. Its annual turnover is about 350 million euro. The company employs over 7.300 employees worldwide. In addition to a large marketing and sales network, Dümmen Orange has a diversified network of specialized production sites. The key to Dümmen Orange’s success is a broad and deep product range, supported by a global supply chain. The company embraces its social responsibilities and invests in the health, safety and personal development of its staff.

Your application
Click on the button below to apply for this job. If you have questions about the job, you can contact Camillo Berenos (Technology Lead Trait Genetics), via +31 174 530 100.

Acquisition with reference to this advertisement will not be appreciated.


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