Genomics Lab Tech & Data Analyst

Genetic Visions; Town of Middleton (WI); Hybrid; USD 52,000 - 76,000; Full time

Job summary

Genetic Visions in Wisconsin is seeking a Laboratory Technician & Data Analyst who blends hands‑on wet‑lab work with data analytics. You will genotyping DNA, work with automation, manage data quality, and support customer data needs within a global genotype data framework.

The role requires a foundation in molecular biology, experience with Excel, and some programming capability (Python preferred). It offers a hybrid schedule and opportunities to optimize processes and toolchains in a

Qualifications

• Previous laboratory experience in molecular biology and genotyping.
• Experience with Excel and data analysis tools.
• Proficiency in at least one programming language, preferably Python.
• Strong analytical, problem‑solving, and attention to detail.
• Excellent communication and ability to work independently and in a team.
• Familiarity with laboratory automation, robotics, and high‑throughput testing.

Responsibilities

• Maintain detailed lab records, sample tracking, and data analysis results.
• Operate and maintain laboratory equipment per standards.
• Perform DNA extraction, genotyping, and analysis on Illumina platforms.
• Prepare reports and presentations for stakeholders.
• Monitor inventory and ensure proper storage of supplies.
• Assist with data entry, validation, and LIMS updates.
• Support genotype submissions and conflict resolution processes.
• Communicate test results to customers and internal teams.

Skills

Lab experience

Excel

Python

Analytical skills

Attention to detail

Communication skills

Teamwork

Adaptability

Data analysis

Education

Bachelor's degree in science

Associate degree with relevant experience

Tools

LIMS

Illumina genotyping

Laboratory automation

Robotics

Job description

Genetic Visions in Wisconsin is seeking a Laboratory Technician & Data Analyst who blends hands‑on wet‑lab work with data analytics. You will genotyping DNA, work with automation, manage data quality, and support customer data needs within a global genotype data framework.

The role requires a foundation in molecular biology, experience with Excel, and some programming capability (Python preferred). It offers a hybrid schedule and opportunities to optimize processes and toolchains in a