Dairy Genetics Simulation Internship: Accelerating Gain

Livestock Improvement Corporation (LIC); Hamilton; On-site; NZD 39,000 - 45,000; Full time

Benefits offered by this job

Paid internship

Job summary

LIC is offering a paid internship at its Newstead Hamilton head office in New Zealand. The project focuses on enhancing stochastic simulation models to evaluate the impact of emerging technologies on LIC's dairy breeding programme.

You will contribute to software development, data analysis, and modelling in a collaborative research environment. The successful candidate will work on-site for 10 weeks, earning $29.90 per hour, with a minimum of 30 hours per week and a maximum of 400 hours to be

Qualifications

• Basic programming experience in Python.
• Strong analytical and problem-solving abilities.
• Understanding of statistics and data analysis.
• Ability to work independently and manage tasks.
• Good written and verbal communication skills.
• Attention to detail.

Responsibilities

• Improve and enhance breeding simulation software used in dairy genetics research.
• Apply data science and computational modelling techniques to real-world industry challenges.
• Analyse genetic and breeding data to support evidence-based decision-making.
• Evaluate future breeding strategies through modelling and scenario analysis.
• Contribute to research that supports sustainable genetic improvement in New Zealand dairy herds.
• Work alongside leading scientists in quantitative genetics, genomics and animal breeding.
• Produce technical documentation and communicate research findings to support ongoing innovation.

Skills

Python

Analytical skills

Statistics

Independent work

Communication

Attention to detail

Tools

NumPy

Pandas

SciPy

Linux

Bash scripting

AWS

Git

Job description

LIC is offering a paid internship at its Newstead Hamilton head office in New Zealand. The project focuses on enhancing stochastic simulation models to evaluate the impact of emerging technologies on LIC's dairy breeding programme.

You will contribute to software development, data analysis, and modelling in a collaborative research environment. The successful candidate will work on-site for 10 weeks, earning $29.90 per hour, with a minimum of 30 hours per week and a maximum of 400 hours to be