Proteomics Discovery Scientist – LC-MS/MS Expert

Amgen; South San Francisco (CA); On-site; USD 110,000 - 150,000; Full time

Job summary

Amgen is seeking an Associate Scientist Discovery Proteomics in South San Francisco to expand expertise in LC-MS/MS-based proteomics and support early discovery programs. You will execute workflows for quantitative proteomics, including cell-surface target discovery, proximity labeling, and biomarker efforts, collaborating with colleagues across biology, automation and bioinformatics.

The role involves maintaining rigorous data integrity, interpreting results, and communicating plans to

Qualifications

• Master's degree in analytical chemistry, biochemistry, chemical biology, molecular/cell biology, or related field.
• Hands-on proteomics sample preparation experience.
• Familiarity with Proteome Discoverer, Spectronaut, DIA-NN or similar software.
• Experience with LC-MS workflows and data interpretation.

Responsibilities

• Execute and optimize established proteomics workflows including sample prep and LC-MS acquisition.
• Prepare samples from cell lines and biological matrices using enrichment workflows.
• Operate LC-MS systems across vendor platforms and troubleshoot issues.
• Process proteomic data and communicate results to project teams.
• Maintain detailed records of experiments and instrument performance.

Education

Masters degree

Bachelors degree + 2 years experience

Associates degree + 4 years experience

High school diploma / GED + 6 years experience

Tools

Proteome Discoverer

Spectronaut

DIA-NN

LC-MS systems

Proximity labeling

Job description

Amgen is seeking an Associate Scientist Discovery Proteomics in South San Francisco to expand expertise in LC-MS/MS-based proteomics and support early discovery programs. You will execute workflows for quantitative proteomics, including cell-surface target discovery, proximity labeling, and biomarker efforts, collaborating with colleagues across biology, automation and bioinformatics.

The role involves maintaining rigorous data integrity, interpreting results, and communicating plans to