HOW MIGHT YOU DEFY IMAGINATION?
You’ve worked hard to become the professional you are today and are now ready to take the next step in your career. How will you put your skills, experience and passion to work toward your goals? At Amgen, our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies, reaching over 10 million patients worldwide. Come do your best work alongside other innovative, driven professionals in this meaningful role.
Scientist - Bioinformatics, Computational Biology, Proteomics
Live
What you will do
Let’s do this. Let’s change the world. In this vital role you will conduct statistical analysis, data ingestion, database development, and computational pipeline implementation for internal and external mass spectrometry-based and other types of proteomics data to support biomarker discovery, target evaluation, experimental design, and mechanism-of-action studies. You will work closely with other scientists in Discovery Proteomics and Research Technologies, computational biologists in the genomics group, and software engineers in the research informatics team to support cross-functional collaborations. Demonstrated expertise in modern data analysis and statistical methodologies applied to mass spectrometry-based proteomics studies is essential.
The successful candidate will join the Discovery Proteomics group at our South San Francisco campus. This group is tasked with developing and implementing proteomic characterization technologies in support of Amgen’s early discovery pipeline.
• Implement data analysis, management, and visualization strategies for the complex proteomics/phosphoproteomics/glycoproteomics data generated by mass spectrometry and other technologies.
• Develop and establish computational solutions for differential protein expression analysis, protein turnover rate estimation, and protein-protein interaction identification using proteomics data.
• Work closely with scientists from different functions and therapeutic areas, deliver and present analysis results to key stakeholders
• Collaborate across proteomic platforms for data integration and mining, and utilize available external resources where appropriate.
Win
What we expect of you
We are all different, yet we all use our unique contributions to serve patients. The highly motivated professional we seek is a computational biologist/bioinformatics scientist with these qualifications.
Basic Qualifications:
• Doctorate degree
OR
• Master’s degree and 2 years of scientific experience
OR
• Bachelor’s degree and 4 years of scientific experience
Preferred Qualifications:
• PhD in Computational Biology, Bioinformatics, Statistics, Proteomics, or Biology. Post-doctoral experience preferred, but recent doctoral candidates with highly relevant experience are encouraged to apply.
• Expertise in large-scale quantitative proteomics and other omics data analysis.
• Fluency in Python, R, and SQL, and familiarity with analytic techniques/packages necessary for statistical analysis, data processing, data ingestion, data visualization, and basic machine learning approaches. Familiarity with deep learning packages is a plus.
• Working knowledge of Unix/Linux and cloud computing (AWS) environments.
• Experience in version control, Docker containers, and other standard processes for coding project management, reproducible data analysis, and documentation.
• Experience with quantitative analysis using DIA and DDA datasets from various experimental designs.
• Experience in analyzing large-scale post-translational modification proteome studies, protein-protein interactomes, and/or protein turnover studies.
• Experience in meta-analysis with publicly available large proteomics studies (e.g., GTEx, CPTAC)
• Experience in workflow languages (e.g., Nextflow) and pipeline development
• Knowledge of Proteome Discoverer, Spectronaut, Skyline, MaxQuant, DIA-NN, MSstats, OpenMS, and other data processing pipelines/algorithms used in the proteomics field.
• Strong background in biology or chemistry with focus in human diseases in the fields of Immunology, Oncology, Inflammation, and Cardiometabolic Disease.
• Basic understanding of genomics and transcriptomics technologies and data properties.
• Proven track record of independent critical thinking and scientific achievement.
• Strong verbal and written skills, ability to work independently as well as in small teams. Willingness to collaborate effectively across scientific diaciplines and with colleagues in cross-functional teams.
Thrive
What you can expect of us
As we work to develop treatments that take care of others, we also work to care for our teammates’ professional and personal growth and well-being.
The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and quali
Location: South San Francisco, CA
Posted: Aug. 26, 2024, 2:18 a.m.
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