Amgen SA
Scientist – Bioinformatics, Computational Biology, Proteomics
Amgen SA, South San Francisco, California, us, 94083
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. At Amgen, our shared mission—to serve patients—drives all that we do. Come do your best work alongside other innovative, driven professionals in this meaningful role.Scientist - Bioinformatics, Computational Biology, ProteomicsWhat you will do
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.Implement data analysis, management, and visualization strategies for complex proteomics data generated by mass spectrometry and other technologies.Develop 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, delivering and presenting analysis results to key stakeholders.Collaborate across proteomic platforms for data integration and mining, and utilize available external resources where appropriate.What we expect of you
The highly motivated professional we seek is a computational biologist/bioinformatics scientist with these qualifications.Basic Qualifications:
Doctorate degreeOR Master’s degree and 2 years of scientific experienceOR Bachelor’s degree and 4 years of scientific experiencePreferred Qualifications:
PhD in Computational Biology, Bioinformatics, Statistics, Proteomics, or Biology.Expertise in large-scale quantitative proteomics and other omics data analysis.Fluency in Python, R, and SQL, and familiarity with analytic techniques/packages for statistical analysis, data processing, data ingestion, data visualization, and basic machine learning approaches.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.Experience in analyzing large-scale post-translational modification proteome studies.Experience in meta-analysis with publicly available large proteomics studies.Experience in workflow languages (e.g., Nextflow) and pipeline development.Knowledge of data processing pipelines/algorithms used in the proteomics field.Strong background in biology or chemistry with a focus on human diseases.Basic understanding of genomics and transcriptomics technologies.Proven track record of independent critical thinking and scientific achievement.Strong verbal and written skills, ability to work independently and in small teams.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.Comprehensive employee benefits package, including a Retirement and Savings Plan.A discretionary annual bonus program.Stock-based long-term incentives.Award-winning time-off plans and flexible work models.Apply now
for a career that defies imaginationJoin us at
careers.amgen.comApplication deadline
Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position.Pay range for this role is $116-132kAmgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process.
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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.Implement data analysis, management, and visualization strategies for complex proteomics data generated by mass spectrometry and other technologies.Develop 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, delivering and presenting analysis results to key stakeholders.Collaborate across proteomic platforms for data integration and mining, and utilize available external resources where appropriate.What we expect of you
The highly motivated professional we seek is a computational biologist/bioinformatics scientist with these qualifications.Basic Qualifications:
Doctorate degreeOR Master’s degree and 2 years of scientific experienceOR Bachelor’s degree and 4 years of scientific experiencePreferred Qualifications:
PhD in Computational Biology, Bioinformatics, Statistics, Proteomics, or Biology.Expertise in large-scale quantitative proteomics and other omics data analysis.Fluency in Python, R, and SQL, and familiarity with analytic techniques/packages for statistical analysis, data processing, data ingestion, data visualization, and basic machine learning approaches.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.Experience in analyzing large-scale post-translational modification proteome studies.Experience in meta-analysis with publicly available large proteomics studies.Experience in workflow languages (e.g., Nextflow) and pipeline development.Knowledge of data processing pipelines/algorithms used in the proteomics field.Strong background in biology or chemistry with a focus on human diseases.Basic understanding of genomics and transcriptomics technologies.Proven track record of independent critical thinking and scientific achievement.Strong verbal and written skills, ability to work independently and in small teams.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.Comprehensive employee benefits package, including a Retirement and Savings Plan.A discretionary annual bonus program.Stock-based long-term incentives.Award-winning time-off plans and flexible work models.Apply now
for a career that defies imaginationJoin us at
careers.amgen.comApplication deadline
Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position.Pay range for this role is $116-132kAmgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process.
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