Senior Data Scientist
Amgen
7 months ago
Remote friendly (Cambridge, MA)
United States
IT
Senior Data Scientist
What You Will Do
- Develop, maintain, and deploy first principles and/or machine learning models for biopharmaceutical processes (cell culture, biologics formulation development, fill/finish).
- Design and select model technologies and infrastructure; ensure successful application in Process Development.
- Design, develop, and deploy first principles, machine learning, and hybrid models to optimize biopharmaceutical processes.
- Integrate modeling software with connectivity to real-time equipment data to enable digital twins for improved process performance and understanding.
- Build and maintain robust data pipelines and agentic workflows to generate impact-level insights.
- Collaborate with cross-functional teams to translate scientific challenges into data-driven solutions and integrate models into process development workflows.
- Use software development best practices (version control, testing, continuous integration) to ensure model reliability, scalability, and reproducibility.
Basic Qualifications
- High school diploma/GED and 10 years of Data Sciences experience OR
- Associate’s degree and 8 years OR
- Bachelor’s degree and 4 years OR
- Master’s degree and 2 years OR
- Doctorate degree
Preferred Qualifications / Skills
- Ph.D. in Chemical Engineering, Mechanical Engineering, Applied Math, or related field.
- Mechanistic modeling/first principles (transport phenomena, fluid mechanics, reaction kinetics).
- Experience applying AI/ML to engineering problems; led modeling/data science projects.
- 3+ years coding in Python.
- Understanding of biopharmaceutical processes and unit operations.
- Git (version control); DevOps/software best practices (CI, test-driven development).
- Data engineering & visualization tools (e.g., Databricks, Spotfire), cloud/data storage (e.g., AWS).
- Experience with agentic AI for scientific workflows.
- Independent, self-motivated, organized; able to multi-task in time-sensitive environments.
- Excellent written/verbal communication; strong analytical skills.
Benefits (explicitly stated)
- Retirement and Savings Plan; group medical/dental/vision; life and disability insurance; flexible spending accounts.
- Discretionary annual bonus (or sales incentive for field sales); stock-based long-term incentives; award-winning time-off.
- Flexible work models where possible.
Application Instructions
- Apply via careers.amgen.com.
- You may redact age-identifying information (age, date of birth, school dates) in submitted materials.
What You Will Do
- Develop, maintain, and deploy first principles and/or machine learning models for biopharmaceutical processes (cell culture, biologics formulation development, fill/finish).
- Design and select model technologies and infrastructure; ensure successful application in Process Development.
- Design, develop, and deploy first principles, machine learning, and hybrid models to optimize biopharmaceutical processes.
- Integrate modeling software with connectivity to real-time equipment data to enable digital twins for improved process performance and understanding.
- Build and maintain robust data pipelines and agentic workflows to generate impact-level insights.
- Collaborate with cross-functional teams to translate scientific challenges into data-driven solutions and integrate models into process development workflows.
- Use software development best practices (version control, testing, continuous integration) to ensure model reliability, scalability, and reproducibility.
Basic Qualifications
- High school diploma/GED and 10 years of Data Sciences experience OR
- Associate’s degree and 8 years OR
- Bachelor’s degree and 4 years OR
- Master’s degree and 2 years OR
- Doctorate degree
Preferred Qualifications / Skills
- Ph.D. in Chemical Engineering, Mechanical Engineering, Applied Math, or related field.
- Mechanistic modeling/first principles (transport phenomena, fluid mechanics, reaction kinetics).
- Experience applying AI/ML to engineering problems; led modeling/data science projects.
- 3+ years coding in Python.
- Understanding of biopharmaceutical processes and unit operations.
- Git (version control); DevOps/software best practices (CI, test-driven development).
- Data engineering & visualization tools (e.g., Databricks, Spotfire), cloud/data storage (e.g., AWS).
- Experience with agentic AI for scientific workflows.
- Independent, self-motivated, organized; able to multi-task in time-sensitive environments.
- Excellent written/verbal communication; strong analytical skills.
Benefits (explicitly stated)
- Retirement and Savings Plan; group medical/dental/vision; life and disability insurance; flexible spending accounts.
- Discretionary annual bonus (or sales incentive for field sales); stock-based long-term incentives; award-winning time-off.
- Flexible work models where possible.
Application Instructions
- Apply via careers.amgen.com.
- You may redact age-identifying information (age, date of birth, school dates) in submitted materials.