Research Geneticist

Alta Genetics

$70K — $95K *
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 including data ingestion and editing
  • Experience with livestock production and breeding programs
  • Proficiency in constructing software pipelines for data tasks
  • Familiarity with bioinformatics procedures for DNA sequence data
  • Skilled in statistical software and Microsoft Office suite

Responsibilities

  • Develop and apply genetic and genomic tools to support livestock breeding
  • Analyze data to enhance prediction models for breeding programs
  • Integrate field data with pedigree and genomic information
  • Automate routine tasks through software pipeline construction
  • Perform alignment of DNA sequence data against reference genomes
  • Conduct analysis on variant effects on gene structure and function
  • Collaborate with teams and stakeholders, traveling as necessary

Benefits

  • Opportunity to work in an innovative research environment
  • Collaborative team culture
  • Professional development and continuous learning
  • Contribution to cutting-edge livestock breeding initiatives
  • Travel opportunities to broaden professional exposure
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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