Data Analyst

Position: Associate Data Analyst

Reports to: Lab Manager

Company Description

Genetic Visions-ST “GVI” is an advanced genomic services division of STgenetics™. GVI provides state-of-the-art genomic and genetic profile services for bovine, swine, and other livestock producers to identify genomic potential, gene markers, and specific genes that influence economically important production traits, animal health and viability while aiding producers in animal selection in breeding programs.

Position Description

• The Data Analyst and Nomination Specialist will focus on providing support to the laboratory by performing sample nominations at CDCB and managing conflicts created during the genotype upload process.  As a data analyst, this position will perform genotyping analysis and will be involved with the SNP transfer process for submitting genotypes to various data centers around the world.  This position will also be responsible for developing programs to create efficiencies and streamline processes.

Roles and Responsibilities

• Perform nomination of samples at CDCB
• Report genotyping conflicts to the customers
• Make pedigree changes at CDCB as approved by customers
• Perform data analysis from Illumina and Affymetrix genotyping platforms
• Perform SNP transfers to data centers around the world
• Develop programs to support the movement of data and information through Genetic Visions
• Assist the Customer Care Manager with customer support in the LIMS system
• Assist the Customer Care Manager with Invoicing
• Assist with LIMS development and testing
• Provide back up support for Sample Reception
• Preparation of customer correspondence
• Assist with data entry and reporting test data
• Assist with customer billing
• Participates in Continuous Improvement initiatives
• Work with minimal oversight after the training period
• Other duties as assigned

Requirements

• Customer focused
• Excellent verbal and written communication skills
• Experienced with Microsoft Office products with an emphasis on Excel
• Excellent pattern recognition and problem-solving
• Ability to multi-task and adjust to changing priorities
• Good time management
• Comfortable in a scientific environment
• Willingness to learn about genetics and the dairy industry
• Knowledgeable in at least one programming language (preference for Python) for programming tools for the laboratory
• Bachelor’s degree preferred or Associate Degree with 2 years of work experience