Scientist – Disease Profiling

Role Summary

Scientist – Disease Profiling will join the Target Discovery and Biology team in South San Francisco to identify novel therapeutic targets across Amgen’s key therapeutic areas, including oncology, inflammation, and cardiovascular and metabolic diseases. You will contribute expertise in advanced sequencing technologies and disease profiling to support target discovery, validation, and mechanism-of-action studies, and drive innovation by integrating multi-omic approaches to advance Amgen’s discovery pipeline.

Responsibilities

• Design, implement, and deliver omics data using advanced sequencing platforms such as long-read sequencing, and leverage multi-omic data to 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

• Required: 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: Hands-on expertise in data generation using advanced sequencing technologies including long-read sequencing platforms (e.g., PacBio, Oxford Nanopore).
• Preferred: Hands-on experience with single-cell RNA-seq technologies (library prep and analysis).
• Preferred: Proficiency in programming (R/Python), Unix/Linux environments, and cloud computing environments for the analysis of long-read sequencing and large omics datasets including isoform sequencing analysis.
• Preferred: Experience with polysome-seq or ribo-seq would be a plus.
• Preferred: Ability to quickly adopt novel and developing methods.
• Preferred: 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).
• Preferred: Strong written, verbal and organizational skills and the ability to work in a fast-paced multi-disciplinary team.

Skills

• Omics data analysis
• Advanced sequencing technologies (long-read, single-cell RNA-seq)
• Programming and data analysis (R/Python); Unix/Linux; cloud computing
• Statistical methods and machine learning
• Collaborative and cross-functional communication