Post Doctoral Fellow - AI / Machine Learning Data Scientist

Amgen - Cambridge, MA

Full-time - Entry Level

Remote - Cambridge, MA

Chemical Manufacturing

About the position

The Post Doctoral Fellow - AI / Machine Learning Data Scientist position at Amgen is a full-time role focused on developing and deploying machine learning models for biopharmaceutical processes. The role is part of the Transformative Digital Capabilities (TDC) organization, which aims to enhance process understanding and optimization through advanced computational technologies. The fellow will work on cross-functional projects, collaborating with subject matter experts and stakeholders to implement data-driven solutions in the biopharmaceutical field.

Responsibilities

• Develop, maintain, and deploy machine learning models for biopharmaceutical processes.
• Select underlying technologies and infrastructure for model development.
• Enable data flow from centralized data lake to computational models.
• Collaborate with cross-functional project teams and communicate technical details to engineers and scientists.

Requirements

• PhD at time of appointment.
• 4+ years of coding experience in Python.
• Engineering background with strong machine learning skills.
• Experience in AI and ML algorithms.
• Experience working with experimental data sets and machine learning tools such as PyTorch and TensorFlow.
• Understanding of biopharmaceutical processes and related unit operations.
• Experience using Git for version control.
• Familiarity with DevOps and software best practices.
• Experience in Databricks and Spotfire.
• Experience in cloud computing and storage systems such as AWS.
• Strong analytical skills with attention to detail and accuracy.

Nice-to-haves

• PhD in an engineering or science field completed by Dec 2024.
• Track record of leading data science and machine learning projects.
• Independent, self-motivated, organized, and able to multi-task in time-sensitive environments.
• Excellent communication skills (written and verbal).

Benefits

• Comprehensive employee benefits package including health, dental, and vision coverage.
• Retirement and Savings Plan with generous company contributions.
• Life and disability insurance.
• Flexible spending accounts.
• Discretionary annual bonus program.
• Stock-based long-term incentives.
• Award-winning time-off plans and bi-annual company-wide shutdowns.
• Flexible work models, including remote work arrangements.