Research Geneticist

Alta Genetics

$88K — $105K *
Pharmaceuticals & Biotech
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • PhD in Animal Science, Quantitative Genetics, or related field
  • 5 years of experience as a Research Scientist in Quantitative Genetics
  • Expertise in genomic evaluation processes and data integration
  • Experience constructing software pipelines for data automation
  • Proficient in bioinformatics procedures like variant calling
  • Familiarity with statistical software including ASReml, BLUPF90, R, or Python
  • Willingness to travel 10% of the time.

Responsibilities

  • Develop and apply genetic and genomic tools for livestock breeding
  • Analyze genetic data to enhance prediction models
  • Support research initiatives with quantitative genetic insights
  • Integrate field data with pedigree and genomic information
  • Automate routine data tasks using software pipelines
  • Perform bioinformatics procedures on whole-genome sequencing data
  • Estimate (co)variance components and predict breeding values.

Benefits

  • Opportunity to work in a cutting-edge research environment
  • Engagement with innovative livestock breeding programs
  • Collaborative atmosphere with expert colleagues
  • Potential for international collaboration and travel opportunities
  • Impact on advancing livestock genetics and genomics.
Full Job Description
Job Description

Alta Genetics USA Inc. is looking for a Research Geneticist to develop and apply genetic and genomic tools, analyze data, and enhance prediction models to support livestock breeding programs and research initiatives. Position is based in Watertown, Wisconsin.

Required: PhD in Animal Science, Quantitative Genetics or a related field and 5 years of experience as a Research Scientist in Quantitative Genetics. In addition, the following specific skills are required:
  • 5 years of experience with the genomic evaluation process, including ingestion and editing of data from the field, integration of field data with pedigree and genomic information, imputation of genotypes to a common set of variants used for prediction, estimation of (co)variance components, and prediction of breeding values;
  • 5 years of experience with livestock production;
  • 5 years of experience with constructing software pipelines to automate routine tasks, including data ingestion, storage, editing, and analysis;
  • 5 years of experience with basic bioinformatics procedure, such as alignment of whole-genome DNA sequence data against reference genomes, simple variant calling, and downstream analysis of variant effects on gene structure/function;
  • 5 years of experience with using computers for research, including statistical software (e.g., ASReml, BLUPF90, R, or Python) and Microsoft Office; and,
  • Must be willing and able to travel 10% domestic or international.


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