19 tasks, each one witnessed by the sources that watched the job — and behind every one, a prompt you can use tonight.
You split time between hands-on animal care and paperwork. Mornings often mean checking animals, feeding, recording health and reproduction events, and making sure biosecurity steps are followed. Afternoons go to planning nutrition, supervising staff, and meeting with farmers or industry partners about production goals.
You also run experiments or manage data for studies — entering records into Microsoft Excel or Oracle PeopleSoft, using BLUP for breeding value estimates, and preparing reports or PowerPoint slides for stakeholders.
Learn Microsoft Excel and Word for record-keeping, reports, and nutrition plans — most farms use them daily. PowerPoint is used to present findings to farmers or extension groups. Oracle PeopleSoft is common for payroll, HR, and larger agribusiness records.
For research roles, learn SAS or other statistical packages and BLUP (Best Linear Unbiased Prediction) methods for breeding analyses. ESRI ArcGIS is useful if you work with spatial herd data or land-use planning.
Study animal science or agricultural degrees with classes in animal nutrition, reproduction, genetics, and microbiology. Take labs or courses that cover embryo transfer, drug use for breeding, and animal physiology because those are used on the job.
Also get practical experience: internships on farms, work in veterinary clinics, or research assistant roles where you use SAS, Excel, and data collection. Biosecurity and animal welfare courses are important for daily operations.
A Livestock Manager runs herd-level production and research: nutrition plans, breeding programs, staff supervision, and agribusiness management. You use tools like BLUP and SAS to evaluate breeding and production, and manage budgets in Oracle PeopleSoft. You also collaborate with vets rather than replace them.
A veterinarian diagnoses and legally prescribes treatments. A farm worker focuses on daily tasks like feeding and cleaning without managing research, breeding programs, or financials.
According to the U.S. Bureau of Labor Statistics (BLS), about 3,100 people held this occupation. The median wage was $68,940 per year; the lowest tenth earned $44,350 and the top tenth earned $166,000. These are BLS numbers and vary by region, farm size, and whether you work in research versus private industry.
Research, supervisory roles, or positions in large agribusiness tend to pay more, especially if you run funded projects or supervise large staffs.
Yes, AI and statistical software can speed data analysis and breeding-value prediction, but you must keep raw data, model code, and validation steps clear. Use SAS or R for reproducible analysis and BLUP for genetic evaluations; document inputs and assumptions so results are explainable to farmers and regulators.
Don’t let AI replace veterinary judgments about drug use or animal treatments. Follow legal rules for administering drugs, keep animal-welfare and biosecurity protocols, and use AI outputs as decision-support, not final authority.
Data literacy — being able to collect, clean, analyze, and communicate animal and production data. That means accurate Excel sheets, basic SAS or statistical knowledge, and using BLUP methods for breeding. Research and production decisions depend on reliable data.
Pair that with practical animal skills: you must recognize health and reproductive signs, follow biosecurity, and supervise staff who carry out the daily work.