Research Technician I: Cancer Genomics & Data Analytics

Baylor College of Medicine; Texas; On-site; USD 32,000 - 38,000; Full time

Job summary

The Cheng Lab in the Department of Medicine at Baylor College of Medicine in Houston, TX seeks a Research Technician I to support cancer genomics, immunology, and computational biology projects. Under supervision, you will assist with data collection, processing, and organization of genomic and clinical research data.

The role involves maintaining accurate records, assisting with routine analyses, and contributing to data management and research operations in a collaborative environment.

Qualifications

• Associate's degree or 2 years of related experience required.
• 1 year of relevant experience required.

Responsibilities

• Process, organize, and maintain genomic, molecular, and clinical datasets.
• Perform routine data quality checks and identify discrepancies under supervision.
• Support basic data analyses using established procedures.
• Collaborate with investigators, trainees, and staff to support study objectives.
• Maintain organized records and project documentation.
• Assist with data management documentation and compliance.
• Assist with processing and organizing genomic and clinical research data.
• Support research activities in bioinformatics and computational biology.
• Prepare data summaries and reports.
• Assist with manuscript preparation and other documentation as needed.

Skills

Data processing

Data analysis

Literature review

Team collaboration

Education

Associate's degree in Basic Science

Two years of related experience may substitute for degree

Job description

The Cheng Lab in the Department of Medicine at Baylor College of Medicine in Houston, TX seeks a Research Technician I to support cancer genomics, immunology, and computational biology projects. Under supervision, you will assist with data collection, processing, and organization of genomic and clinical research data.

The role involves maintaining accurate records, assisting with routine analyses, and contributing to data management and research operations in a collaborative environment.