Sr Scientist

Role Summary

This is an opportunity to join Amgen’s Discovery Proteomics Group as a Senior Scientist. You will utilize cutting-edge mass spectrometry-based proteomic technologies to advance target discovery and support pipeline programs across Amgen’s therapeutic areas.

Responsibilities

• Design, execute, and analyze proteomic experiments to explore pathways relevant to human disease
• Identify and implement new proteomic strategies and methodologies to accelerate scientific discovery
• Collaborate closely with disease areas and therapeutic development teams to make actionable decisions as a technical and intellectual subject matter expert
• Effectively communicate plans, results, and analyses to cross-functional teams

Qualifications

• Required: Doctorate degree
• Required: Master’s degree & 3 years of scientific experience
• Required: Bachelor’s degree & 5 years of scientific experience
• Required: Associates degree & 10 years of scientific experience
• Required: High school diploma / GED & 12 years of scientific experience
• Preferred: PhD or MD, with postdoctoral research experience in the field of mass spectrometry
• Preferred: Technical expertise in proteomic sample preparation workflows, peptide and protein level chromatographic separations, mass spectrometer operation, and bioinformatic analysis of proteomics data
• Preferred: Experience with programming (e.g. in R/Python), Unix/Linux environments, and cloud computing environments for the analysis of proteomic datasets
• Preferred: Demonstrated track record of independent critical thinking and scientific achievement as evidenced by high impact publications
• Preferred: Ability to work effectively in a highly integrated, collaborative team environment, with excellent organizational, verbal, and written communication skills, and a proven track record of producing reliable and reproducible results

Skills

• Proteomic sample preparation workflows
• Peptide and protein level chromatographic separations
• Mass spectrometer operation
• Bioinformatic analysis of proteomics data
• Programming experience (R/Python)
• Unix/Linux environments
• Cloud computing environments for proteomic data analysis
• Strong organizational, verbal, and written communication skills
• Ability to work in highly integrated, collaborative teams with a track record of producing reliable and reproducible results