Pharmacogenomics Intern: Livestock Genomics & Prediction

Zoetis; Kalamazoo (MI); On-site; USD 22,000 - 50,000; Full time

Job summary

Zoetis is seeking a Pharmacogenomics Data Science & Genomic Prediction Intern in Kalamazoo, MI, to mine dairy cattle health data, define mastitis treatment phenotypes, and develop genomic prediction models for treatment response. You will collaborate with PAH VMRD and project leadership to create a first-of-its-kind pharmacogenomic decision support system for animal health.

The role involves handling clinical records, genotype data, and SNP/sequence analyses; strong programming and communication

Qualifications

• Currently enrolled in a Master’s or PhD program in Animal Science, Quantitative Genetics, Animal Breeding & Genomics, Bioinformatics, or a closely related field.
• Experience with genomic data analysis, including GWAS, genomic prediction, and/or variance component estimation using mixed models.
• Proficiency in at least one programming or statistical environment (R, Python, SAS, or equivalent) for large-scale data manipulation and analysis.
• Familiarity with livestock health data, dairy herd management systems, or genomic selection concepts is strongly preferred.
• Strong analytical and communication skills, with the ability to work independently and present results to a cross-functional team.

Responsibilities

• Extract, clean, and integrate clinical treatment records and health event data from dairy herd management systems and link with genotype data to build analysis-ready datasets.
• Define and construct treatment response phenotypes for mastitis and bovine respiratory disease.
• Evaluate SNP panel and sequence data to identify DNA markers and genomic regions with predictive value for treatment outcomes.
• Develop and test proof-of-concept genomic prediction models (GBLUP, BayesR, ML) for treatment response traits and report preliminary accuracy and heritability.

Skills

Genomic data analysis

GWAS

Genomic prediction

Variance components estimation

R/Python/SAS programming

Education

Master's or PhD in Animal Science/Quantitative Genetics/Animal Breeding & Genomics/Bioinformatics

Tools

R

Python

SAS

Dairy Comp 305

Job description

Zoetis is seeking a Pharmacogenomics Data Science & Genomic Prediction Intern in Kalamazoo, MI, to mine dairy cattle health data, define mastitis treatment phenotypes, and develop genomic prediction models for treatment response. You will collaborate with PAH VMRD and project leadership to create a first-of-its-kind pharmacogenomic decision support system for animal health.

The role involves handling clinical records, genotype data, and SNP/sequence analyses; strong programming and communication