Sr. Data Scientist – Computational Drug Discovery

Career Category

Scientific

Job Description

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

Bachelor’s degree and 5 years of directly related experience

Preferred Qualifications

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

Experience supporting biologics, protein engineering, or large-molecule therapeutic discovery is strongly preferred

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

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 salary of this position in Canada is $117,808 - $159,388.

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

As an organization dedicated to improving the quality of life for people around the world, 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.

. Salary Range

117,808.30 CAD - 159,387.70 CAD