Senior Research Technologist-Rochester Flow Cytometry Core

About the role

The Optical Microscopy and Cell Analysis Core is seeking a motivated individual to support flow cytometry-based research projects across the Mayo Clinic enterprise. The successful candidate will be responsible for day-to-day instrument calibration, sample acquisition and high-speed cell sorting, data management and backup, routine maintenance, quality control, and troubleshooting of flow cytometry instrumentation. The individual will train and assist researchers with experimental design, multicolor flow cytometry panel development and optimization, instrument setup, and interpretation of flow cytometry data. Additional responsibilities include supporting assay development, data analysis using platforms such as FlowJo, maintaining detailed records and standard operating procedures, and ensuring a safe, organized, and collaborative core facility environment.

Responsibilities

• Independently sets up and performs experiments and procedures in support of lab goals and grant commitments (e.g. assays, cell/tissue culture, animal studies, etc.)
• Contributes to the planning, design and modification of studies and experiments in the research lab setting
• Maintains results, reports unusual outcomes and suggests modifications
• Collects, enters, summarizes, and analyzes data
• Oversees and assists with the training of residents, fellows and temporary lab personnel in lab techniques

Qualifications

• Requires bachelor's degree in biology, chemistry, or other relevant science with 4 years of research laboratory experience
• Master's degree in biology, chemistry, or other relevant science preferred

Preferred Experience and Qualifications

• Demonstrated expertise in multicolor flow cytometry panel design, optimization, and troubleshooting, including experience with high-parameter conventional and/or spectral flow cytometry
• Hands-on experience operating and maintaining flow cytometry instrumentation, including platforms such as BD Biosciences, Cytek, Bio-Rad, or equivalent systems
• Strong knowledge of experimental design, assay development, and flow cytometry data analysis. Experience using software such as FlowJo or similar platforms to support investigators with study design, data interpretation, compensation, spectral unmixing, and validation of research assays
• Experience working in a shared resource, core facility, or collaborative research environment supporting multiple users and projects simultaneously. Demonstrated ability to prioritize workflows, maintain detailed records, develop standard operating procedures, and provide technical support in a service-oriented setting
• Candidates who have published first-author peer-reviewed research articles demonstrating the development, optimization, or application of multicolor flow cytometry panels will be given special consideration