Data Scientist - Business Engineering & Strategy

Career Category

Job Description

HOW MIGHT YOU DEFY IMAGINATION?

You’ve worked hard to become the professional you are today and are now ready to take the next step in your career. How will you put your skills, experience and passion to work toward your goals? At Amgen, our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies, reaching over 10 million patients worldwide. Come do your best work alongside other innovative, driven professionals in this meaningful role.

Data Scientist - Business Engineering & Strategy

Live

What you will do

Let’s do this! Let’s change the world!

Amgen is a leading biotechnology company with a mission to serve patients around the world. As a science-based, patient-focused organization, we discover and develop innovative therapies to treat serious illnesses. In this vital role, responsibilities include:

• Optimization of business processes related to pharmaceutical manufacturing, such as technology transfer.

• Collaborate with partner organizations to develop and deploy digital business process solutions to facilitate knowledge management and business process execution.

• Work with various datasets to create, deploy, and maintain interactive visualizations for business data and process data.

• Upgrade existing capabilities or build new digital tools using applications such as Spotfire, Tableau, Smartsheet as required by internal customers.

• Troubleshooting existing dashboards and data visualization products owned by the team including but not limited to Spotfire Reports, Tableau Dashboards, Smartsheet Dashboards, Knowledge Management Databases, etc.

• Working with large quantities of data to enable general workflows such as data processing, cleaning, and labeling.

• Troubleshooting and testing data solutions to ensure desired data structures are robust and complete.

• Collaborating with multiple stakeholders to understand project scope, timelines, create a project plan, and execute the project deliverables in a timely fashion.

Win

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The dynamic professional we seek is a self-starter with these qualifications.

Basic Qualifications:

• High school diploma / GED and 8 years of Data Science or Engineering experience OR

• Associate’s degree and 6 years of Data Science or Engineering experience OR

• Bachelor’s degree and 2 years Data Science or Engineering experience OR

• Master’s degree

Preferred Qualifications:

• Bachelor’s degree (mathematics, computer science, engineering, or other quantitative discipline)

• Bioprocessing/Pharmaceutical background.

• Previous experience in process development, clinical or commercial scale manufacturing with basic data science skills looking to make a transition into a digital role or previous experience as a data analyst/business analyst in biotech.

• Experience leading or supporting process optimization/ continuous improvement projects.

• Some understanding of regulatory and cGMP requirements

• Experience developing reports and dashboards in data visualization software (e.g. Tableau, Spotfire) or other digital tools (e.g. Smartsheet, SharePoint).

• Experience in programming/database compatible languages (e.g. R, Python, SQL), data cleaning/preprocessing software (e.g. Alteryx, Tableau Prep), BI tools/visualization software (e.g. Tableau, Spotfire, Power BI) and IDE tools (e.g. VS Code, Databricks, R Studio) to manipulate data and draw insights from various data sets to make data-driven business recommendations.

• Experience understanding business/stakeholder needs and developing novel yet practical solutions to meet those needs.

• A passion for data science applications in biopharmaceutical operations.

• Excellent written and verbal communication skills

• Able to adapt to changing business needs, operational requirements, and handle ambiguity.

• Experience with issue resolution and ability to influence across support organizations.

• Ability to independently manage larger projects, break down high level projects into smaller incremental tasks, effectively plan and follow through, and elevate relevant issues to project lead and line management as they arise.

• Enjoys tackling challenges, working in teams, and excels at organizing information from nu