Senior Scientist – Genome Analysis Unit (Computational Biology)
US – California – South San Francisco
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 target and drug discovery and safety at Amgen. The senior scientist will be part of the computational biology group in the GAU, which operates collaboratively across Discovery Research and Comparative Biology and Safety Sciences (CBSS). The position will provide leadership and bioinformatics expertise to ongoing drug development project and portfolio specific toxicity assessment in close collaboration with project teams. Additionally, the role will be responsible for 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.
- 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.
- Development and maintenance of genomics data analysis pipelines.
- 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.
Doctorate degree and 2 years Scientific experience
Master’s degree and 5 years scientific experience
Bachelor’s degree and 7 years scientific experience
- An 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, dbSNP, Ensembl, UCSC genome browser, Array Studio), bioinformatics tools (e.g., BLAST, samtools/GATK/picard), and statistical environments (e.g., R, S+, Matlab).
- Experience with manipulation, interpretation, and innovative analysis (e.g. novel algorithm development) of large biological datasets.
- Proficient in programming (e.g., Python, Java, C/C++) and working in a Unix/Linux environment, being able to develop customized bioinformatics tools.
- Advanced knowledge of machine learning and AI approaches as applied to biological datasets and problems.
- Leadership experience in pharma with a particular focus and knowledge of drug safety assessment
- A strong background in biology, especially as it pertains to human disease in the fields of Oncology, Metabolic Disease, Neurological Disease, and Inflammation.
- Enthusiasm for interacting with bench scientists to develop new technologies and refine our approaches.
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.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
Amgen will consider for employment qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance.
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