Associate Scientist Discovery Proteomics

Basic Qualifications

Master’s degree

Join Amgen’s Mission of Serving Patients

At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.

Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions.

As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.

Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

Let’s do this. Let’s change the world. In this vital role you will expand your experience in liquid chromatography-tandem mass spectrometry (LC-MS/MS)-based proteomics to work in South San Francisco. The team develops and applies proteomic technologies to support Amgen’s early discovery pipeline programs and technology platforms. In this role, the Associate Scientist will execute and optimize quantitative proteomic workflows supporting cell-surface target discovery, proximity-labeling studies, preclinical biomarker discovery, and mechanism-of-action investigations.

The successful candidate will work closely with proteomics, functional genomics, biology, automation, and bioinformatics colleagues to generate high-quality, reproducible data and communicate results to project teams.

This lab-based role will support Amgen’s preclinical pipeline through high-quality experimental execution and collaborative problem solving. Responsibilities will include:

• Execute and optimize established proteomics workflows, including sample preparation, peptide fractionation, liquid chromatography, and mass spectrometry acquisition for discovery and targeted approaches such as DIA, TMT, label‑free DDA and PRM.
• Prepare samples from cell lines and other biological matrices using workflows such as cell-surface protein enrichment and proximity labeling.
• Operate LC-MS systems across several vendor platforms, assess instrument and data quality, perform routine maintenance, and troubleshoot common workflow or instrument issues with guidance from senior staff.
• Process and evaluate proteomic data using software such as Proteome Discoverer, Spectronaut, and DIA-NN, and work with bioinformatics and senior colleagues to support data analysis and sharing.
• Analyze results and identify technical issues in collaboration with project scientists.
• Communicate experimental plans, progress, and results to immediate team members and cross-functional collaborators.
• Maintain detailed and accurate records of experiments, protocols, instrument performance, and analyses in accordance with laboratory and data-integrity practices.

We are all different, yet we all use our unique contributions to serve patients. The] professional we seek is a scientist with these qualifications.

Master’s degree

OR

Bachelor’s degree and 2 years of scientific experience

OR

Associate’s degree and 4 years of scientific experience

OR

High school diploma / GED and 6 years of scientific experience

• Bachelor’s, Master’s, or PhD degree in analytical chemistry, biochemistry, chemical biology, molecular or cell biology, or related discipline.
• Hands‑on experience with proteomic sample preparation.
• Familiarity with Proteome Discoverer, Spectronaut, DIA‑NN, or similar proteomics software and the ability to assess data quality and interpret results.
• Experience with protein enrichment methods is desirable.
• Ability to evaluate LC‑MS performance and…