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.Scientist – Digital Discovery: Biological Data Systems & Machine LearningWhat You Will DoIn this vital role, we are seeking a Scientist, Biological Data Systems & Machine Learning to join the Digital Discovery team. This role sits at the intersection of wet‐lab experimental biology, data systems, and machine learning, enabling a closed‐loop discovery engine where data generation, structuring, and modeling continuously inform one another.Scientific Data Architecture & ModelingDefine and implement data models, schemas, and relationships for biological dataEnsure robust data lineage, metadata standards, and interoperability across systemsEstablish best practices for ML‐ready biological datasetsLegacy Data Mining & Curation for AI/MLIdentify, access, and harmonize proprietary legacy discovery datasetsPerform data archaeology to reconstruct experimental context and metadataBuild high‐quality,



ML‐ready training datasets for model developmentPartner with AI/ML teams on data requirements and dataset designExperiment–Data–Platform IntegrationTranslate experimental workflows into digital systems (e.G., Benchling)Define requirements for workflows, entities, and dashboards with engineering teamsEnsure data is captured in a structured, future‐ready mannerComputational Analysis & ML EnablementAnalyze large‐scale biological datasets to generate insightsSupport development of predictive and generative ML modelsOptimize dataset structure and feature engineeringCross‐Functional IntegrationInterface across experimental biology, AI/ML, data engineering, and business teamsTranslate scientific needs into technical requirements and vice versaAlign workflows with enterprise data ecosystem strategiesWorkflow Optimization & AutomationIdentify inefficiencies and design scalable data workflowsDevelop tools and dashboards to improve data accessibility and usabilityEnsure robustness and integrity of datasets and toolsIdentify edge cases and prevent downstream issuesAdoption & EnablementDrive adoption of data platforms and best practicesServe as a trusted advisor to scientists on data standards and workflowsWhat We Expect Of YouWe are all different, yet we all use our unique contributions to serve patients. The professional we seek is a Scientist with these qualifications.Basic QualificationsPhD in Biology, Immunology, Immunoengineering, Biochemistry,



Bioengineering or related fieldMaster's degree + 3+ years of relevant experienceBachelor's degree + 5+ years of relevant experiencePreferred QualificationsTraining in Bioinformatics, or related fieldStrong background in wet‐lab biologyExperience with large‐scale biological datasetsExperience with data modeling, curation, and ETL pipelinesProficiency in Python and/or RExperience with machine learning approachesFamiliarity with scientific data platforms (e.G., Benchling)Experience working cross‐functionally across science, data, and engineering teamsWhat You Can Expect Of UsAs we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well‐being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way. Amgen is proud to have been recognized as one of LinkedIn Top 25 Companies in Canada for growth opportunities. The base salary for this position is $109,255 - $147,815. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.Apply now and make a lasting impact with the Amgen team.Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. 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, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. #J-18808-Ljbffr

📌 Scientist – Digital Discovery: Biological Data Systems & Machine Learning (Burnaby)
🏢 Amgen
📍 Burnaby