Senior Scientist – Bioinformatics, Computational Biology, Proteomics

Responsibilities

• Develop computational tools and data infrastructure for the Discovery Proteomics Group
• Conduct statistical analysis, data ingestion, database and tool development, and computational pipeline implementation for proteomics data
• Support biomarker discovery, target evaluation, experimental design, and mechanism-of-action studies
• Develop and implement data analysis, management, and visualization strategies for complex mass spectrometry and other technology datasets
• Work closely with scientists across functions and therapeutic areas
• Deliver and present analysis results to key stakeholders
• Collaborate across genomic and proteomic platforms for data integration and mining
• Utilize available external resources where appropriate
• Enable Amgen’s preclinical pipeline through innovative technologies and technical expertise

• Doctorate degree OR Master’s degree and 3 years of scientific experience OR Bachelor’s degree and 5 years of scientific experience
• PhD in Computational Biology, Bioinformatics, Statistics, Proteomics, or Biology preferred
• Expertise in large-scale quantitative proteomics and other omics data analysis
• Fluency in Python, R, and SQL
• Familiarity with analytic techniques/packages for statistical analysis, data processing, data ingestion, data visualization, and basic machine learning
• Working knowledge of Unix/Linux and AWS cloud computing environments
• Experience in version control, Docker containers, coding project management, reproducible data analysis, and documentation
• Experience in meta-analysis with publicly available large proteomics studies is a plus
• Strong background in biology or chemistry, especially human diseases in Immunology, Oncology, Inflammation, and Cardiometabolic Disease
• Proven track record of independent critical thinking and scientific achievement
• Strong verbal and written skills
• Ability to work independently and in small teams
• Willingness and ability to collaborate across scientific disciplines and cross-functional teams

Demonstrates expertise in computational biology and proteomics, with strong capabilities in data analysis, management, and visualization. Proficient in Python, R, and SQL, with a solid understanding of statistical analysis and machine learning techniques.

• PhD In Computational Biology
• Large-Scale Quantitative Proteomics Analysis
• Fluency In Python, R, And SQL
• Experience In Docker Containers And Version Control
• Strong Background In Biology Or Chemistry

• Statistical Analysis
• Data Ingestion
• Database Development
• Computational Pipeline Implementation
• Data Visualization
• Analytic Techniques
• Machine Learning
• Reproducible Data Analysis
• Meta-Analysis
• Data Management

• Independent Critical Thinking
• Strong Verbal Communication
• Strong Written Communication
• Collaboration Across Disciplines
• Ability To Work In Small Teams

• Proteomics
• Biomarker Discovery
• Target Evaluation
• Experimental Design
• Human Diseases
• Immunology
• Oncology
• Inflammation
• Cardiometabolic Disease

• Unix/Linux
• AWS Cloud Computing
• Docker
• Version Control Systems
• Analytic Packages