Scientist - Genome Analysis Unit (Computational Biology)

The Genome Analysis Unit (GAU) is seeking a talented computational biologist to join our team and further our mission of making biological discoveries that

accelerate development within Discovery Research and Preclinical Development at Amgen. The position focuses on the application of bioinformatics expertise to the analysis and interpretation of large datasets to support ongoing drug development projects in close collaboration with project teams. These datasets include in vitro and in vivo assay results, RNA expression, genetics, and high value public resources. Additionally, the role will involve the creation of novel algorithms and analytical approaches that can be used to both identify new drug targets as well as predict the safety profile of our molecules and thus increase clinical success rates.

Responsibilities:

• Apply advanced techniques in bioinformatics, statistical analysis, and programming to biological problems across a wide range of human disease and drug safety areas at Amgen.
• Work with large internal and external biological data sets including Next Generation Sequencing (NGS) data (e.g. RNA-Seq, scRNA-Seq, WGS).
• Interface directly with project teams and key stakeholders within Amgen to ensure the appropriate and timely inclusion of relevant datasets.
• Integrate work tightly with wet lab efforts within the GAU, Discovery Research and CBSS focused on predictive safety and target validation.
• Represent group internally and externally through presentations, publications, networks, collaborations and conferences to promote approaches and raise the profile of work within the team.

Basic Qualifications:

Doctorate degree or Doctorate degree by June 2019

OR

Master's degree and 4 years of scientific experience

OR

Bachelor's degree and 6 years of scientific experience

Preferred Qualifications:

Advanced degree in Bioinformatics, Biostatistics, Computer Science, Genomics

Hands-on experience in the fields of bioinformatics and genomics including working with various public and proprietary data repositories (e.g., TCGA, GTEx, dbGaP, Ensembl, UCSC genome browser, Array Studio), bioinformatics tools (e.g., BLAST, GATK, Cell Ranger, samtools, VEP), and statistical environments (e.g., R, S+, Matlab)

Experience with manipulation, interpretation, and innovative analysis (e.g. novel algorithm development) of large biological datasets, including single-cell sequencing data

Research experience in the field of immuno-oncology

Proficient in programming (e.g., Python, Java, C/C++) and working in a Unix/Linux environment; ability to develop customized bioinformatics tools

Amgen focuses on areas of high unmet medical need and leverages its expertise to strive for solutions that improve health outcomes and dramatically improve people's lives. A biotechnology pioneer since 1980, Amgen has grown to be one of the world's leading independent biotechnology companies, has reached millions of patients around the world and is developing a pipeline of medicines with breakaway potential.