Senior Proteomics & Bioinformatics Scientist

Amgen SA; San Francisco (CA); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Retirement and Savings Plan

Stock-based long-term incentives

Flexible work models

Job summary

Amgen in South San Francisco invites a hands-on Sr. Scientist – Bioinformatics, Computational Biology, Proteomics to develop data analysis pipelines for discovery proteomics and biomarker research.

You will apply proteomics and bioinformatics expertise to design computational tools and you will work with mass spectrometry data to drive biomarker discovery. You will collaborate across functional teams, translate experimental needs into robust software, and contribute to mechanism-of-action

Qualifications

• PhD in Computational Biology, Bioinformatics, Statistics, Proteomics, or Biology.
• Expertise in large-scale quantitative proteomics and other omics data analysis.
• Fluency in Python, R, and SQL, and familiarity with statistical analysis, data processing, data ingestion, data visualization, and basic machine learning; deep learning familiarity is a plus.

Responsibilities

• Develop data analysis, management, and visualization strategies for proteomics data.
• Collaborate across genomic and proteomic platforms for data integration and biomarker discovery.
• Translate experimental needs into fit‑for‑purpose computational solutions.

Skills

Strong communication

Collaborative

Independent critical thinking

Education

PhD in Computational Biology/Bioinformatics/Statistics/Proteomics/Biology

M.S. in related field + 3 years experience

B.S./B.A. + 5 years experience

Tools

Python

R

SQL

Unix/Linux

AWS

Docker

Git/version control

Job description

Amgen in South San Francisco invites a hands-on Sr. Scientist – Bioinformatics, Computational Biology, Proteomics to develop data analysis pipelines for discovery proteomics and biomarker research.

You will apply proteomics and bioinformatics expertise to design computational tools and you will work with mass spectrometry data to drive biomarker discovery. You will collaborate across functional teams, translate experimental needs into robust software, and contribute to mechanism-of-action