Associate Data Scientist

Overview

Amgen is seeking an Associate Data Scientist (Data Analyst) to ensure product quality and analyze patient complaints, using data to drive quality improvement and patient outcomes.

What you'll do

• Collect, organize, and analyze data related to product performance (e.g., APRs) and patient complaints.
• Ensure data integrity, accuracy, and accessibility for further analysis.
• Apply statistical software and data visualization tools to interpret and present findings.
• Identify trends, patterns, and insights from large datasets to advise decision-making processes.
• Prepare comprehensive reports summarizing analysis results, including actionable recommendations.
• Maintain accurate and up-to-date documentation of all data analysis activities.
• Ensure compliance with regulatory requirements and company policies in all documentation and reporting.
• Collaborate with cross-functional teams to develop and implement quality improvement initiatives based on data analysis findings.
• Provide insights and support for product complaint teams to enhance product quality and patient experience.
• Present data analysis results and recommendations to management and other partners.
• Foster positive relationships with external and internal partners.
• Data Cleaning: Ensure data integrity by identifying and rectifying errors, inconsistencies, and redundancies.
• Database Management: Store and coordinate data in databases or data warehouses for easy access and analysis.
• Diagnostic Analysis: Investigate the root causes of specific issues, such as recurring product defects or common patient complaints.
• Visualization: Develop charts, graphs, and dashboards to present data in a more understandable and impactful manner.

What you'll need

• Bachelor's degree and 3 to 5 years of one or more analytic software tools or languages (e.g., SAS, Data Bricks, Salesforce, SQL, Python) and experience with data visualization tools like Square Two (S2), Spotfire, Bio Connect, Tableau, Power BI, Smartsheet, or similar, experience.

Nice to have

• Strong analytical and problem-solving skills with the ability to interpret sophisticated data sets.
• Excellent written and verbal communication skills.
• Ability to work independently and collaboratively in a fast-paced environment.
• Attention to detail and a dedication to quality and accuracy.
• Knowledge of regulatory requirements and quality management systems (e.g., ISO 13485, FDA regulations) is a plus.
• Proactive and self-motivated with a strong sense of responsibility.
• Adaptable and able to prioritize optimally.
• Patient-centric mindset with a dedication to improving healthcare outcomes.