Laboratory Technician & Data Analyst
Role Overview
This hybrid position combines laboratory operations with data analysis and reports to the Data Analysis Manager.
Supports DNA genotyping and high-throughput genetic testing, data quality, customer support, and global genotype data management.
The division provides genomic and genetic services for livestock producers.
Key Skills for This Role
Full Job Posting
Role overview
This hybrid position combines laboratory operations with data analysis and reports to the Data Analysis Manager.
Supports DNA genotyping and high-throughput genetic testing, data quality, customer support, and global genotype data management.
The division provides genomic and genetic services for livestock producers.
Laboratory operations and analysis
- Maintain laboratory records, sample tracking, testing procedures, and analysis results; prepare reports, summaries, and presentations.
- Operate and maintain laboratory equipment, preserve sample integrity, and prepare stock solutions, reagents, and materials.
- Follow safety protocols and safely handle potentially hazardous chemical and biological materials.
- Use spreadsheets, databases, statistical tools, and reporting platforms to analyze and present data.
- Perform DNA extraction, purification, quantification, and normalization; assist with microarray sample processing and SNP genotyping.
- Support method validation, quality checks, troubleshooting, and continuous improvement.
Data and customer support
- Analyze data from Illumina genotyping platforms and assist with communicating test results to customers and internal stakeholders.
- Perform sample nominations at CDCB, report genotyping conflicts to customers, and assist with conflict resolution.
- Process approved pedigree changes through CDCB and coordinate SNP transfers to data centers worldwide.
- Support Customer Care Manager activities in the LIMS system, including data entry, reporting, and test-result documentation.
Essential skills and experience
- Previous laboratory experience and experience using Microsoft Office, particularly Excel.
- Knowledge of at least one programming language; Python is preferred.
- Strong analytical and problem-solving skills, pattern recognition, attention to detail, organization, and time management.
- Strong written and verbal communication; able to work independently and in a team, adapt to changing priorities, and follow through on tasks.
- Interest in genetics, genomics, and the dairy industry.
Preferred qualifications
- Preferred: bachelor's degree in a scientific, biological, agricultural, or related field, or an associate degree plus at least two years of relevant experience.
- Preferred: experience with molecular biology, DNA genotyping, laboratory automation, robotics, or high-throughput testing.
Work schedule
- Tuesday through Saturday, 8:00 AM to 4:30 PM.
- A 20% differential applies to weekend hours worked.
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