Senior Data Scientist

Amgen • Thousand Oaks, CA

5d • Remote

About The Position

Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. 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 our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. 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 to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Senior Data Scientist What you will do and what we expect of you Let’s do this. Let’s change the world. In this vital role you will: Duties: Manage the lifecycle of digital products and systems needed for business processes within process development, leveraging tech transfer, biomanufacturing, and chemical engineering expertise . Develop understanding of Amgen data structures & implement improvements as needed to support specific efficiencies or business analytics needed. Design and implement data pipelines to extract, transform, and load data to support technology transfer, process monitoring, and laboratory business processes. Create analytics requested by customers to support business processes and complex business questions, ensuring that the analysis is grounded in relevant chemical engineering, bioprocessing, and good manufacturing principles. Foster a culture of continuous improvement in data science by exploring new technology and methodologies, providing recommendations related to process monitoring, data engineering, analytic platforms, analysis plans, and other relevant areas of data science. Collaborate closely with bioprocessing and chemical engineers to identify opportunities to digitalize and improve processes to drive innovation and efficiency. Act as a technical liaison between the IS department supporting enterprise digital strategies and the needs of stakeholders and customers in process development Independently and effectively manage larger digital integration strategies, make decisions that impact a large set of business users, and lead a product team to ensure the reliability of digital systems to enhance system performance. May telecommute.

Requirements

• Master’s degree (or foreign equivalent) in Biomedical Engineering, Chemical Engineering or related field & 2 years of experience in the following: Programming in R or Python; Database languages including SQL; Data visualization tools including Tableau or Spotfire; Statistical data analysis such as linear/non-linear multivariate models and hypothesis testing, control charts, and capability analysis; Amazon Web Services or Databricks; Understanding of technical requirements involved for process monitoring of a biomanufacturing and synthetic manufacturing process; and Understanding of technology transfer from clinical to commercial manufacturing.

Responsibilities

• Manage the lifecycle of digital products and systems needed for business processes within process development, leveraging tech transfer, biomanufacturing, and chemical engineering expertise.
• Develop understanding of Amgen data structures & implement improvements as needed to support specific efficiencies or business analytics needed.
• Design and implement data pipelines to extract, transform, and load data to support technology transfer, process monitoring, and laboratory business processes.
• Create analytics requested by customers to support business processes and complex business questions, ensuring that the analysis is grounded in relevant chemical engineering, bioprocessing, and good manufacturing principles.
• Foster a culture of continuous improvement in data science by exploring new technology and methodologies, providing recommendations related to process monitoring, data engineering, analytic platforms, analysis plans, and other relevant areas of data science.
• Collaborate closely with bioprocessing and chemical engineers to identify opportunities to digitalize and improve processes to drive innovation and efficiency.
• Act as a technical liaison between the IS department supporting enterprise digital strategies and the needs of stakeholders and customers in process development.
• Independently and effectively manage larger digital integration strategies, make decisions that impact a large set of business users, and lead a product team to ensure the reliability of digital systems to enhance system performance.

Benefits

• stock
• retirement
• medical
• life and disability insurance
• eligibility for an annual bonus
• Retirement and Savings Plan with generous company contributions
• group medical, dental and vision coverage
• flexible spending accounts
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior