Dairy Breeding Tech Intern – Genomics & Simulation (Paid)

Livestock Improvement Corporation; Otago; On-site; NZD 12,357,000 - 16,476,000; Full time

Job summary

Livestock Improvement Corporation (LIC) invites talented students to join a paid Summer Internship to accelerate genetic gain through simulation. Based at LIC Head Office in Newstead, you will work with leading scientists in quantitative genetics, genomics and animal breeding to enhance breeding simulation software and analyse dairy genetics data.

You will apply data science techniques, evaluate future breeding strategies, and produce technical documentation.

Qualifications

• Basic programming experience, Python preferred.
• Strong analytical and problem-solving skills.
• 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

Education

Undergraduate or postgraduate qualification in science/engineering/technology/business

Job description

Livestock Improvement Corporation (LIC) invites talented students to join a paid Summer Internship to accelerate genetic gain through simulation. Based at LIC Head Office in Newstead, you will work with leading scientists in quantitative genetics, genomics and animal breeding to enhance breeding simulation software and analyse dairy genetics data.

You will apply data science techniques, evaluate future breeding strategies, and produce technical documentation.