Scientist – Disease Profiling

Role Summary

Scientist – Disease Profiling. Join Amgen’s mission to serve patients by advancing disease biology through innovative sequencing technologies to identify therapeutic targets across oncology, inflammation, and cardiovascular/metabolic diseases.

Responsibilities

• Design, implement, and deliver omics data using advanced sequencing platforms such as long-read sequencing; leverage multi-omic data to characterize disease biology and model systems.
• Identify and implement developing and impactful omics technologies to advance drug discovery.
• Operate and maintain in-house NGS sequencing instruments.
• Apply computational, statistical, and machine learning methods to analyze omics datasets in collaboration with the bioinformatics team.
• Collaborate across multidisciplinary teams to accelerate target discovery.
• Present research findings to cross-functional groups and publish in peer-reviewed forums.
• Maintain organized project records, electronic lab notebooks, and code/data repositories.

Qualifications

• Basic Qualifications:
  • Doctorate degree or
  • Master‚Äôs degree and 2 years of relevant scientific experience or
  • Bachelor‚Äôs degree and 4 years of relevant scientific experience
• Preferred Qualifications:
  • Hands-on expertise in data generation using advanced sequencing technologies including long-read sequencing platforms (e.g. PacBio, Oxford Nanopore).
  • Hands-on experience with single-cell RNA-seq technologies (library prep and analysis).
  • Proficiency in programming (R/Python), Unix/Linux environments, and cloud computing for analysis of long-read sequencing and large omics datasets including isoform sequencing analysis.
  • Experience with polysome-seq or ribo-seq is a plus.
  • Ability to quickly adopt novel methods and demonstrate independent critical thinking, complex problem solving, and innovative research.
  • Strong written, verbal, and organizational skills and ability to work in a fast-paced multi-disciplinary team.

Skills

• Advanced sequencing technologies
• Multi-omics integration
• Computational biology and data analysis
• Programming in R/Python
• Machine learning applications to omics data
• Collaborative research and scientific communication

Education

• Doctorate, or
• Master‚Äôs with relevant experience, or
• Bachelor‚Äôs with relevant experience

Additional Requirements

• None specified beyond the listed qualifications.