Scientist – Disease Profiling

Role Summary

Scientist – Disease Profiling

Responsibilities

• Design, implement, and deliver omics data using advanced sequencing platforms such as long-read sequencing and leverage multi-omic data to help characterize disease biology as well as cell and animal models.
• 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 internally-generated and publicly-available omics datasets in collaboration with the bioinformatics team.
• Collaborate across multidisciplinary teams in various Amgen therapeutic areas to accelerate target discovery.
• Present research findings to cross-functional groups at internal and external meetings and publish scientific findings in peer-reviewed forums.
• Maintain organized project records, electronic lab notebooks and code/data repositories.

Qualifications

• Basic Qualifications:
  • Doctorate degree or
  • Master’s degree and 2 years of relevant scientific experience or
  • Bachelor’s 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 (e.g. in R/Python), Unix/Linux environments, and cloud computing environments for the analysis of long-read sequencing and large omics datasets including isoform sequencing analysis.
  • Experience with polysome-seq or ribo-seq would be plus.
  • Ability to quickly adopt novel and developing methods.
  • Demonstrated track record of independent critical thinking, complex problem solving, and innovative research (e.g. significant contributions to pipeline programs and/or publications in top tier journals).
  • Strong written, verbal and organizational skills and the ability to work in a fast-paced multi-disciplinary team.

Skills

• Advanced sequencing technologies
• Multi-omics analysis
• Computational biology
• Machine learning
• Collaboration across multidisciplinary teams