Data Scientist (US - Remote)
AmgenAbout the role
Career Category
OperationsJob 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.
Senior Associate Data Scientist
Live
What you will do
Let’s do this. Let’s change the world. The Biosimilars Business Unit Process Development (BBU-PD) is a dynamic group that works with a diverse range of cross-functional groups to develop Amgen biosimilar products by evaluating them for analytical similarity, a foundation of the biosimilar regulatory pathway. Within this group, the analytical data management team ensures that all analytical data generated is appropriately handled from acquisition through transcription into regulatory filings. This team also works with internal departments and external CROs and provides data management support and training.
In this vital role you will provide data management support for the entire biosimilar portfolio through technical expertise in both data science and statistics. Responsibilities will include compiling analytical data from multiple data systems, identifying and resolving data errors, providing interim analysis of the data as needed, identifying opportunities for improving data management practices, and training internal and external groups on best practices. The position offers the opportunity to engage with biosimilar process development from end to end for a wide variety of products with diverse modalities and unique challenges.
This role will work with team members in both Cambridge and Thousand Oaks and can work remotely if needed.
- Program sophisticated data management tools using state of the art techniques and coding languages.
- Verify data sets that have been analyzed and/or transcribed into official documents.
- Act as a primary point of contact for analytical data management, and interface between generators of analytical data, business stakeholders, and statisticians.
- Assist team with routine analytical data reports for continuous data monitoring.
- Work routinely with quality control, quality engineering, research, analytical sciences, and CRO’s to ensure proper data entry, handling, and exporting.
- Oversee improvement initiatives to data systems and to business processes to expand the team’s data management capabilities.
- Detect, evaluate, and resolve errors in data systems, and seek solutions to prevent similar issues.
- Provide backup support as needed for sample login, data entry, database templating, document authoring, and related routine and non-routine tasks.
Win
What we expect of you
We are all different, yet we all use our unique contributions to serve patients. The data scientist we seek is data driven with these qualifications.
Basic Qualifications:
Master’s degree
OR
Bachelor’s degree and 2 years of data science, analytical chemistry, data engineering, or related experience
OR
Associate’s degree and 6 years of data science, analytical chemistry, data engineering, or related experience
OR
High school diploma / GED and 8 years of data science, analytical chemistry, data engineering, or related experience
Preferred Qualifications:
- 1-3 years of experience in a Biotech/Pharma Process Development, Informatics, and/or Quality Engineering role.
- Scripting experience using R, Python, VBA, etc.
- Experience with joining, pivoting, and presenting disparate data sets.
- Advanced knowledge with Excel, including macro creation.
- Experience with statistical and data analytics tools such as SAS, TIBCO Spotfire, and JMP.
- Experience with data structures, database queries, and/or SQL programming.
- Experience with electronic lab notebooks and inventory management systems such as BIOVIA Workbook and Thermo Scientific SampleManager.
- Understanding of analytical chemistry, immunology, and/or functional biology.
- Experience working in or around analytical testing labs and research organizations.
- Understanding of data science and statistics principals and able to communicate concepts to laypeople.
- Understanding of regulatory requirements such as good data practices and data verification.
- Strong attention to detail and ability to recognize patterns in data.
- Able to gather and communicate business re
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