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Sr. Data Scientist – Computational Drug Discovery

Job in Burnaby, BC, Canada
Listing for: Amgen SA
Full Time position
Listed on 2026-05-26
Job specializations:
  • Research/Development
    Data Scientist, Research Scientist, Biomedical Science
Salary/Wage Range or Industry Benchmark: 80000 - 100000 CAD Yearly CAD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

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. Data Scientist – Computational Drug Discovery

What you will do

Let’s do this. Let’s change the world. We are seeking a Data Scientist with strong expertise in molecular simulation and machine learning to join the AI & Data for Engineered Biologics team within Amgen’s Large Molecule Discovery (LMD) organization. In this vital role you will advance Amgen’s discovery programs through the development and application of molecular simulation, structural modeling, and machine learning approaches for large-molecule therapeutic design.

You will work at the interface of physics-based modeling and data-driven prediction to generate mechanistic insight, guide experimental design, and enable candidate optimization across biologics discovery workflows.

The successful candidate will work in a highly collaborative, multidisciplinary environment, partnering with structural biology, protein engineering, computational and data sciences, and experimental discovery teams to impact programs from target and hit validation through lead optimization and candidate selection.

Key Responsibilities

  • Design and execute molecular dynamics simulations, including enhanced-sampling and kinetics-focused approaches, to study protein structure, conformational dynamics, binding mechanisms, and biomolecular interactions relevant to large-molecule therapeutic discovery
  • Develop and apply machine learning models leveraging molecular simulation, sequence, structural, repertoire, and experimental data to predict molecular properties, prioritize designs, and generate testable hypotheses
  • Build integrated modeling frameworks that combine multi-modal biological data to enable therapeutic design and data-driven decision-making
  • Incorporate physics-based insights from molecular simulations (e.g., conformational ensembles, dynamics) into machine learning models to improve interpretability and predictive accuracy
  • Develop and scale robust computational workflows, reusable pipelines, and modeling platforms to ensure reproducibility and efficiency across discovery programs
  • Mentor and provide technical guidance to junior data scientists and computational scientists, supporting best practices in modeling and analysis
  • Collaborate cross-functionally with structural biology, protein engineering, and experimental teams to define computational strategies, prioritize experiments, and translate insights into actionable outcomes
  • Evaluate and implement emerging methods in machine learning, generative modeling, and molecular simulation to enhance the Amgen’s computational discovery toolkit
  • Communicate scientific findings and recommendations clearly through presentations, technical documentation, and publications

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The dynamic professional we seek is a Data Scientist with these qualifications.

Basic Qualifications

PhD in Computational Biology, Computational Chemistry, Theoretical Chemistry, Biophysics, or a related field

Or

Master’s degree and 3 years of directly related experience

Or

Bache…

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