Join Amgen’s Mission of Serving Patients 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. Data Scientist – Computational Drug Discovery

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 team-oriented, 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. 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 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 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 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.

PhD in Computational Biology, Computational Chemistry, Theoretical Chemistry, Biophysics, or a related field Master’s degree and 3 years of directly related experience Bachelor’s degree and 5 years of directly related experience Postdoctoral or equivalent research experience in molecular simulation, computational biophysics, or AI‑accelerated drug discovery Deep expertise in molecular dynamics simulations of biomolecular systems, including enhanced sampling, rare‑event methods, free‑energy or kinetics analysis, and interpretation of conformational ensembles Strong programming skills in Python and experience with modern ML frameworks (e.g., PyTorch) and molecular simulation / modeling software such as GROMACS, OpenMM, Amber, NAMD,



or related tools Experience deriving machine learning features or representations from molecular simulation trajectories and integrating them with sequence, structural, and experimental data Proven ability to apply machine learning methods such as supervised learning, deep learning, generative modeling, active learning, or optimization methods to molecular design or drug discovery problems Experience working with large‑scale datasets and high‑performance computing environments, including cloud‑based platforms (e.g., AWS) Experience integrating molecular modeling and machine learning with structural and biophysical data, including cryo‑EM, X‑ray, HDX, or related experimental readouts Familiarity with software engineering best practices for reproducible scientific computing, including version control (git), testing, containerization (Docker), and workflow orchestration tools Strong scientific communication skills, with a demonstrated publication record Demonstrated ability to influence cross‑functional teams by translating computational results into clear, actionable scientific recommendations 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. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. 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.

📌 Sr. Data Scientist - Computational Drug Discovery (Burnaby)
🏢 Amgen
📍 Burnaby