Flow Cytometry Associate Scientist: Data, Sorters, On-Site

Regeneron Pharmaceuticals, Inc.; Village of Tarrytown (NY); Vor Ort; USD 72.000 - 112.000; Vollzeit

Zusammenfassung

Regeneron Pharmaceuticals, Inc. is seeking an Associate Scientist in Flow Cytometry to join the Protein Expression Sciences team at our on-site facility in Tarrytown, NY.

You will operate and maintain high-speed cell sorters and analyzers and collaborate with scientific staff to develop protocols and deliver high-quality data. This role offers hands-on instrumentation work, SOP development, data analysis, and training of users, with opportunities to contribute to a fast-growing science-driven

Qualifikationen

• Bachelor’s degree with 1–2 years of relevant flow cytometry experience.
• Experience with multi-laser, high-speed cell sorters and analyzers.
• Knowledge of flow cytometry principles.
• Desire to grow flow cytometry skillset.

Aufgaben

• Operate multi-laser, high-speed spectral cell sorters and analyzers independently
• Maintain, align, calibrate, and troubleshoot instruments to meet experimental requirements
• Perform cell sorting and data acquisition for scientific staff
• Provide consultation, protocol design, and interpretation of flow cytometry experiments
• Analyze data using flow cytometry software
• Train users to operate analyzers and support instrument qualification
• Partner with field engineers and technical support, staying current on technologies
• Write SOPs as needed

Kenntnisse

Multi-laser cell sorter experience

Flow cytometry knowledge

Willingness to grow skills

Ausbildung

Bachelor’s degree and 1-2 years relevant experience

Jobbeschreibung

Regeneron Pharmaceuticals, Inc. is seeking an Associate Scientist in Flow Cytometry to join the Protein Expression Sciences team at our on-site facility in Tarrytown, NY.

You will operate and maintain high-speed cell sorters and analyzers and collaborate with scientific staff to develop protocols and deliver high-quality data. This role offers hands-on instrumentation work, SOP development, data analysis, and training of users, with opportunities to contribute to a fast-growing science-driven