|Scientist – Genome Analysis Unit|
|United States – California
United States – Washington
|US – WA – Seattle
US – CA – South San Francisco
US – CA – Thousand Oaks
|The successful employee will be part of the computational biology group in the Genome Analysis Unit (GAU), applying advanced techniques in bioinformatics, statistical analysis, and programming to biological problems across a wide range of human disease areas at Amgen. In particular, the employee will work with large biological data sets including Next Generation Sequencing (NGS) data (RNA-Seq, Genome/Exome-Seq, etc.), microarray expression and copy number data, and high-throughput screening data.
The GAU is a strategic innovation group within Discovery Research at Amgen. The group has members located in 3 geographic sites and consists of 40 staff members. The group operates semi-autonomously but also collaboratively across all Research to deliver novel drug targets, biomarkers, and innovative solutions to accelerate and enable the drug discovery efforts at Amgen.
Master’s degree & 5 years of scientific experience
Bachelor’s degree & 7 years of scientific experience
|An advanced degree in Bioinformatics, Genomics, Molecular Biology/Biochemistry, or other related field
A strong background in biology, especially as it pertains to human disease in the fields of Oncology, Metabolic Disease, Neurological Disease, and Inflammation.
Hands-on experience in the fields of bioinformatics and genomics, including working with various public and proprietary data repositories (e.g., Entrez, dbSNP, Ensembl, UCSC genome browser, Array Studio), bioinformatics tools (e.g., BLAST, BLAT, samtools/GATK/picard), and statistical environments (e.g., R, S+, Matlab, Spotfire).
Comfortable programming (e.g., Perl/Python, Java, SQL) and working in a Unix/Linux environment, being able to develop customized bioinformatics tools as needed.
Enthusiasm for interacting with bench scientists to develop new technologies and refine our approaches.
Java programming skills highly desired
Strong verbal and written skills.
The ability to work independently in a highly collaborative environment.