Post Doctoral Fellow - AI / Machine Learning Data Scientist

Amgen - Cambridge, MA

Full-time - Entry Level

Remote - Cambridge, MA

5,001-10,000 employees

Chemical Manufacturing

About the position

At Amgen, our shared mission—to serve patients—drives all that we do. As a Post Doctoral Fellow in AI / Machine Learning Data Scientist within Amgen's Transformative Digital Capabilities (TDC) organization, you will play a crucial role in developing and deploying advanced computational technologies that enhance biopharmaceutical processes. This position involves working on data capture, integration, and management, as well as empirical and first principles modeling to improve process understanding and robustness. You will be responsible for developing, maintaining, and deploying machine learning models specifically for biopharmaceutical processes, such as upstream biologics, where a solid understanding of process engineering is preferred. In this role, you will select the underlying technologies and infrastructure necessary for the projects. You will also facilitate data flow from our centralized data lake to computational models, ensuring that the data is effectively utilized. The ideal candidate will possess a strong engineering background combined with expertise in data science, enabling them to tackle complex cross-functional projects that include machine learning, hybrid model development, data analysis, and visualization. You will collaborate with cross-functional project teams, frequently interacting with Amgen's subject matter experts (SMEs) and stakeholders, while documenting and communicating the technical basis of the models for the benefit of engineers and scientists. This position is not just about technical skills; it requires a self-starter who can thrive in a dynamic environment, manage multiple tasks, and communicate effectively with various stakeholders. Your contributions will directly impact our mission to serve patients and advance the field of biotechnology.

Responsibilities

• Develop and deploy machine learning models for biopharmaceutical processes.
• Select underlying technologies and infrastructure for projects.
• Enable data flow from centralized data lake to computational models.
• Collaborate with cross-functional project teams and interact with SMEs and stakeholders.
• Document and communicate the technical basis of models for engineers and scientists.

Requirements

• PhD at time of appointment.
• PhD in an engineering or science field completed by Dec 2024 (preferred).
• Track record of leading data science and machine learning projects.
• 4+ years of coding experience in Python.
• Engineering background with strong ML skills.
• Experience in AI and ML algorithms.
• Experience working with experimental data sets, data mining, 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 (i.e., version control, continuous integration, test-driven development).
• Experience in Databricks and Spotfire.
• Experience in cloud computing and storage systems such as AWS.
• Independent, self-motivated, organized, and able to multi-task in time-sensitive environments.
• Excellent communication skills (written and verbal).
• Strong analytical skills with attention to detail and accuracy.

Benefits

• Comprehensive employee benefits package including health and welfare plans.
• Retirement and Savings Plan with generous company contributions.
• Group medical, dental, and vision coverage.
• 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.