Career Category
Scientific
Job Description
Scientist - Digital Discovery: Biological Data Systems & Machine Learning
What you will do
Let's do this. Let's change the world. In 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 & Modeling
- Define and implement data models, schemas, and relationships for biological data
- Ensure robust data lineage, metadata standards, and interoperability across systems
- Establish best practices for ML-ready biological datasets
Legacy Data Mining & Curation for AI/ML
- Identify, access, and harmonize proprietary legacy discovery datasets
- Perform data archaeology to reconstruct experimental context and metadata
- Build high-quality, ML-ready training datasets for model development
- Partner with AI/ML teams on data requirements and dataset design
Experiment-Data-Platform Integration
- Translate experimental workflows into digital systems (e.g., Benchling)
- Define requirements for workflows, entities, and dashboards with engineering teams
- Ensure data is captured in a structured, future-ready manner
Computational Analysis & ML Enablement
- Analyze large-scale biological datasets to generate insights
- Support development of predictive and generative ML models
- Optimize dataset structure and feature engineering
Cross-Functional Integration
- Interface across experimental biology, AI/ML, data engineering, and business teams
- Translate scientific needs into technical requirements and vice versa
- Align workflows with enterprise data ecosystem strategies
Workflow Optimization & Automation
- Identify inefficiencies and design scalable data workflows
- Develop tools and dashboards to improve data accessibility and usability
- Ensure robustness and integrity of datasets and tools
- Identify edge cases and prevent downstream issues
Adoption & Enablement
- Drive adoption of data platforms and best practices
- Serve as a trusted advisor to scientists on data standards and workflows
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 Scientist with these qualifications.
Basic Qualifications:
- PhD in Biology, Immunology, Immunoengineering, Biochemistry, Bioengineering or related field
OR Master's degree + 3+ years of relevant experience
OR Bachelor's degree + 5+ years of relevant experience
Preferred Qualifications:
- Training in Bioinformatics, or related field
- Strong background in wet-lab biology
- Experience with large-scale biological datasets
- Experience with data modeling, curation, and ETL pipelines
- Proficiency in Python and/or R
- Experience with machine learning approaches
- Familiarity with scientific data platforms (e.g., Benchling)
- Experience working cross-functionally across science, data, and engineering teams
What you can expect of us
As 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 career growth. Click HERE for more details.
The base salary for this position is $109,255 - $147815.
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.
careers.amgen.com
Salary Range
109,254.75 CAD - 147,815.25 CAD
