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Sr. Scientist - Systems Immunology

Job in Burnaby, BC, Canada
Listing for: Amgen Inc. (IR)
Full Time position
Listed on 2026-06-06
Job specializations:
  • Research/Development
    Data Scientist, Research Scientist, Immunology Research, Clinical Research
Salary/Wage Range or Industry Benchmark: 60000 - 80000 CAD Yearly CAD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Sr. Scientist - Systems Immunology page is loaded## Sr. Scientist - Systems Immunology remote type:
On Site locations:
Canada - Burnabytime type:
Full time posted on:
Posted Todayjob requisition : R- ##
** Career Category
** Scientific## ##
** Job Description**## Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.

Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions.

As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.

Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
** Sr. Scientist - Systems Immunology
**** What you will do
** Let’s do this. Let’s change the world. Amgen’s Immunoengineering organization is seeking an experienced, enthusiastic, and collaborative Scientist to join the Experimental Immunology Team at our Amgen British Columbia site.

This is a systems immunology-focused position involving the integration, analysis, and interpretation of high-dimensional immune profiling datasets to support discovery and translational research efforts. The ideal candidate will possess deep foundational expertise in immunology combined with strong computational and quantitative biology skills. This role will focus on the integration of multimodal datasets including high-dimensional spectral cytometry, secretomics, and transcriptomics to uncover immune mechanisms, characterize complex cellular phenotypes, and identify biomarkers and therapeutic hypotheses.

The successful candidate will work closely within cross-functional research teams to design studies, develop analytical workflows, and generate biologically meaningful insights from complex datasets.

Experience with systems-level analysis approaches, data visualization, statistical modeling, and multi-omics integration is highly desired. Well-suited applicants will demonstrate scientific creativity, intellectual curiosity, strong communication skills, and the ability to thrive in a collaborative, interdisciplinary environment. This individual will also have a track record of high-quality research, innovative problem-solving, and enthusiasm for addressing challenging questions in immunology and translational science.
** What we expect of you:
** We are all different, yet we all use our unique contributions to serve patients. The professional we seek is a candidate with these qualifications.
*
* Basic Qualifications:

** PhD in a related discipline with 2+ years of experience MSc with 5+ years of experience. BSc with 8+ years of experience.
*
* Preferred Qualifications:

*
* • Deep understanding of immunology with expertise in systems immunology approaches and quantitative data analysis.
• Experience integrating and analyzing high-dimensional immune profiling datasets including spectral cytometry, secretomics, and transcriptomics.
• Strong computational and statistical analysis skills with experience using bioinformatics tools and programming languages such as R and/or Python.
• Experience with dimensionality reduction, clustering, and visualization approaches for high-dimensional datasets.
• Experience working with multi-omics datasets and developing biologically meaningful interpretations from complex data.
• Strong written and verbal communication and interpersonal skills.
• Desire to be a team player in a dynamic, cross-functional environment.
• Demonstrated scientific…
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