Job Summary: Genetic Improvement Analyst focused on genetic and zootechnical data analysis of cattle herds, technology development, and strategic support. Key Highlights: 1. Genetic and Zootechnical Data Analysis 2. Technology and Automation Development 3. Support for Genetic Selection Programs **OPEN POSITION – GENETIC IMPROVEMENT ANALYST (IT)** **Location:**Uberaba – MG **Sector:** Livestock **Employment Type:** CLT **Working Hours:** Monday to Friday \| 07:30–11:30 / 13:30–17:30 **Career Path:** Yes **Salary:**R$ 3\.958,11 **Benefits:** * Meal/food allowance: R$ 675.00 * Health insurance * Dental insurance * Life insurance * Transportation allowance * Wellhub * Partnerships (Clubs and Pharmacies) * Special assistance **Education (Technology Field):** Information Systems, Computer Science, Software Engineering, Computer Engineering, Systems Analysis and Development, or related fields. **Main Responsibilities:** * Genetic and zootechnical data analysis * Monitoring of cattle herd data * Report and dashboard generation * Genomic data integration and analysis * Support for genetic selection programs **Preferred Qualifications:** Experience in data analysis, administrative routines, attention to detail, and teamwork. **Main Responsibilities:** * Genetic and zootechnical data analysis * Monitoring of cattle herd data * Report and dashboard generation * Genomic data integration and analysis * Support for genetic selection programs Data Collection and Organization * Collect zootechnical data (weight, age, milk production, fertility). * Integrate data from multiple sources (farms, laboratories, IoT sensors). * Ensure quality and consistency of collected data. * Structure databases to store genetic information. Genetic and Statistical Analysis * Analyze genetic data (e.g., SNP markers and pedigrees). * Apply statistical models to estimate genetic values (DEP/EBV). * Develop algorithms for selecting superior animals. * Evaluate heritability of productive traits. * Conduct predictive analyses for future animal performance. Development and Technology * Create interactive dashboards for herd monitoring. * Develop scripts (Python, R) to automate analyses. * Implement genomic data processing pipelines. * Apply machine learning for genetic prediction. * Integrate agricultural management systems with analytical platforms. Decision-Making and Strategy * Support decisions on genetic crossbreeding. * Identify top-performing sires and dams. * Generate technical reports for veterinarians and animal scientists. * Monitor herd performance indicators. Innovation and Research * Participate in genetic improvement research projects. * Evaluate emerging technologies (genomics, artificial intelligence applied to agriculture).
João Silva
Indeed · HR
João Silva
Indeed · HR
