Associate Scientist – Antibody Bioinformatics

About the role

Amgen is hiring an Associate Scientist for its Digital Discovery team, which combines experimental biology with bioinformatics and data analysis to improve how biologics discovery data are generated, captured, analyzed and reused. This bench-proximal computational role suits a scientist with hands-on wet-lab or experimental training and demonstrated experience or training in bioinformatics, computational biology or biological data analysis.

Key responsibilities

• Run established antibody discovery computational workflows, assess sequencing and data quality, and support downstream analysis of antibody repertoires and candidate sequences.
• Analyze BCR repertoire, NGS, single-cell, protein and other antibody discovery datasets to characterize sequence diversity and identify antibody candidates, with guidance from senior team members.
• Develop R and/or Python scripts, analytical tools, reports and visualizations to automate downstream BCR-Seq analyses.
• Organize, curate and integrate BCR-Seq, antibody screening and experimental data and metadata, and work with wet-lab scientists to capture and structure data in platforms such as Benchling.
• Partner with wet-lab and computational scientists to fix data-quality issues and improve the handoff between experiment and analysis, and share findings through clear visualizations and summaries.

Required profile

• Master's degree and 1+ year of relevant experience, or Bachelor's degree and 3+ years of relevant experience, in biological sciences, biochemistry, molecular biology, immunology, bioinformatics, computational biology or a related field.
• Preferred: hands-on wet-lab experience in molecular biology, immunology, biologics or antibody discovery, genomics, NGS or protein characterization.
• Preferred: exposure to NGS, immune repertoire, single-cell or flow cytometry datasets, and familiarity with tools such as Cell Ranger, Seurat/Scanpy, FlowJo, Bioconductor.
• Preferred: familiarity with Linux, command-line environments, cloud/HPC and laboratory informatics systems such as Benchling, ELNs or LIMS.

Required skills

• Working knowledge of R and/or Python for data analysis, visualization and scripting; SQL is a plus.
• Experience with complex experimental datasets, data curation, integration, quality control and documentation.
• Strong communication, organization and collaboration skills across experimental and computational disciplines.

What we offer

• A stated salary range of 92,476.60 to 125,115.40 CAD.
• Total rewards plans aligned with local industry standards, plus competitive benefits.
• Support for professional and personal growth and well-being.