Amgen - Thousand Oaks, CA

posted 5 days ago

Full-time - Entry Level
Remote - Thousand Oaks, CA
Chemical Manufacturing

About the position

In this vital role as a Data Scientist at Amgen, you will be part of the ASDP group, providing support to Amgen's commercial portfolio through the application of process monitoring, data engineering, data analysis using statistical and machine learning algorithms, and engineering principles. The position focuses on identifying abnormal data trends, root cause analysis, and collaborating cross-functionally to implement corrections, while also identifying and deploying optimization opportunities across a global manufacturing and quality control network.

Responsibilities

  • Apply statistical trending tools to product and method data.
  • Use engineering principles and multivariate statistical analysis to understand sources of variation and evaluate opportunities for improvements.
  • Develop visualizations using data analytics software to review, assess, and improve analytical method performance.
  • Interface with analytical scientists, process development scientists, and engineers to assess and support data consumption needs.
  • Collaborate with product quality, QC, quality assurance, and manufacturing organizations to resolve method issues.
  • Support ongoing GMP activities such as generating annual product review documents, regulatory inspections, and process documentation.
  • Stay abreast of new technologies and statistical approaches to recommend improvements.

Requirements

  • High school diploma / GED and 8 years of Engineering or data sciences experience OR Associate's degree and 6 years of Engineering or data sciences experience OR Bachelor's degree and 2 years of Engineering or data sciences experience OR Master's degree.
  • 1-3 years of experience in a Biotech/Pharma Process Development and/or Manufacturing Support role.
  • Experience with engineering principles and statistical analysis.
  • Ability to understand and apply statistical process control concepts.
  • Demonstrated ability to work under minimal direction.
  • Understanding of regulatory and cGMP requirements.
  • Ability to deliver high quality results in a timely manner.
  • Excellent written and verbal communication skills.
  • Ability to solve difficult, non-routine analysis problems using advanced analytical methods.
  • Strong leadership skills and decision-making abilities.
  • Ability to adapt to changing business needs and operational requirements.
  • Familiarity with systems used for data analytics.
  • Understanding of data structures, data types, and system thinking concepts.
  • Ability to multi-task and function in a dynamic environment.
  • Strong influencing and negotiation skills.
  • Ability to develop a comprehensive understanding of Amgen data structures and metrics.

Benefits

  • Comprehensive employee benefits package including health and welfare plans for staff and eligible dependents.
  • 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 or sales-based incentive plan for field sales representatives.
  • Stock-based long-term incentives.
  • Award-winning time-off plans and bi-annual company-wide shutdowns.
  • Flexible work models, including remote work arrangements where possible.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service