Data Scientist

Join Amgen’s mission of serving patients. At Amgen, 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 a 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-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.

About the role

As a Data Scientist, you will design, develop, and implement scalable data engineering, machine learning (ML), and analytics solutions that accelerate Clinical Development and advance therapies for patients. You will support the Center for Design & Analysis, partnering with data scientists and cross-functional teams to translate business requirements into robust data pipelines, analytical tools, and visualization solutions. You will contribute to the implementation and continuous improvement of innovative analytics capabilities, helping to optimize methods, algorithms, and processes while ensuring solutions are reliable, scalable, and aligned with Amgen's quality and compliance standards.

Responsibilities

• Collaborate with research scientists and other data scientists to develop AI and advanced analytics solutions to speed drug research and development.
• Design, write, and test data/ML pipelines and other advanced analytic/visualization solutions.
• Collect business requirements/user stories for new or enhanced analytic solutions.
• Train users in the use of solutions provided by the CfDA Data Science organization.
• Contribute to process improvement initiatives.
• Adhere to Amgen Policies, SOPs, and other controlled documents.
• Participate in the development and review of CfDA Data Sciences Policies, SOPs, and other controlled documents.
• Participate in external professional organizations, conferences, and/or meetings.
• Contribute to the implementation of internally developed and externally provided analytic solutions.
• Participate in the development of innovative and effective approaches to solve client's analytics problems and communicate results & methodologies.
• Recommend ongoing improvements to methods and algorithms that generate analytic insights.

Requirements

• Ph.D. degree or Master’s degree with 2 years of related experience.

Qualifications

• MS or PhD in Statistics/Biostatistics, Mathematics, Computer Science, Data Science, Physics, Informatics, Life Sciences, or a quantitative-related field.
• Proven ability to write robust code in R/Python.
• Working understanding of common machine learning algorithms and approaches (NNs, RF classifiers, Ensemble methods, NLP, etc.) and when to use them.
• Proficiency in Linux operating system and associated shell commands.
• Experience working effectively in a globally dispersed team environment.
• Drug Development (pre-, early, late, and/or observational) in related industries or academic research.
• Experience working with:
  • Distributed compute/data technology (e.g., Spark, Python Dask).
  • DevOps frameworks (e.g., Git).
  • Building and deploying analytic solutions in a cloud environment.
• Entrepreneurial mindset with the ability to self-direct.
• Ability to communicate complex concepts to a non-technical audience.

Benefits

From competitive benefits to our collaborative culture, we support your professional and personal growth and well-being. Amgen offers a Total Rewards Plan, based on eligibility, comprising:

• Health and welfare plans for staff and eligible dependents.
• Financial plans with opportunities to save towards retirement or other goals, including:
  • A comprehensive Retirement and Savings Plan with generous company contributions.
  • A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan.
  • Stock-based long-term incentives.
• Award-winning time-off plans.
• Flexible work models where possible.

Pay

The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to relevant skills, experience, and qualifications.