Data Scientist - Genetic Evaluation & Breeding Analytics

Hendrix Genetics BV; Boxmeer; Remote; EUR 65,000 - 95,000; Full time

Job summary

Hendrix Genetics BV is seeking a Data Scientist responsible for the reliable operation, development, quality assurance, and continuous improvement of genetic evaluation systems and breeding analytics.

You will work with genetics, breeding IT, data, and product-excellence teams to turn pedigree, genomic, and performance data into robust processes, insights, and decision-support tools.

Responsibilities

• Maintain and operate production genetic evaluation systems.
• Run, monitor, and troubleshoot routine genetic evaluation processes, including the weekly index.
• Develop, maintain, document, and optimize routine data-processing pipelines.
• Perform quality assurance of weekly genetic evaluations and investigate unexpected results.
• Collaborate with breeding, quantitative genetics, IT, and data-management teams.

Job description

Your Role

The Data Scientist isresponsible for the reliable operation, development, quality assurance, andcontinuous improvement of genetic evaluation systems and breeding analytics.The role combines large-scale data management, statistical analysis, softwaredevelopment, and genetic-model support to deliver accurate, timely, and trustedgenetic evaluations for swine breeding programs.

Workingclosely with genetics, breeding IT, data, and product-excellence colleagues,the Data Scientist turns complex pedigree, genomic, and performance data intorobust operational processes, quality insights, and decision-support tools.

Responsibilities

Genetic EvaluationSystems

• Maintain and operate production genetic evaluation systems.
• Run, monitor, and troubleshoot routine genetic evaluationprocesses, including the weekly index.
• Ensure reliable and timely execution of weekly geneticevaluations.
• Support continuous improvement of evaluation workflows, methods,and operational controls.

Data Engineering andPipeline Development

• Develop, maintain, document, and optimize routinedata-processing pipelines.
• Manage and control large-scale exchanges of database, DNA,pedigree, and performance information.
• Build robust validation, monitoring, and exception-handling intoproduction workflows.
• Ensure data integrity, traceability, reproducibility, andappropriate access throughout the evaluation process.

Quality Assurance andReporting

• Perform quality assurance of weekly genetic evaluations andinvestigate unexpected results.
• Develop and maintain weekly and monthly data-quality reports andvisualizations.
• Create programs and controls for data-quality assessment,process monitoring, and anomaly detection.
• Communicate quality issues, root causes, risks, and recommendedcorrective actions to relevant stakeholders.

Analytics and Genetic Model Development

• Conduct data investigations and statistical analyses usingbreeding, genomic, and production data.
• Contribute to the development, validation, testing, andimplementation of genetic models.
• Develop software, algorithms, and reporting tools supportinggenetic breeding control.
• Translate analytical findings into practical recommendations forgenetics and breeding teams.

Collaboration andOperational Support

• Collaborate with breeding, quantitative genetics, ProductExcellence, IT, and data-management teams.
• Provide technical support for recurring evaluations, datainterfaces, and decision-support processes.
• Document systems, pipelines, controls, and operating proceduresto support continuity and knowledge transfer.
• Participate in cross-functional projects and, where required,travel to company sites or partner locations.