About Amgen:

Amgen is one of the world’s leading biotechnology companies. Amgen is a values-based company, deeply rooted in science and innovation to transform new ideas and discoveries into medicines for patients with serious illnesses.

Project Title – Automating Method Qualification Report generation workflows

Project Description:  

This LEADERs position is within the Attribute Sciences team of Amgen’s Process Development Organization. The project is focused on developing biophysics- and data science-based models for in silico assessments of protein sequences. The LEADER candidate will extend the current capabilities of the Sequence and Molecular Attribute Reporting Tool (SMART)​ developed by the Attribute Sciences Digital and Pivotal Portfolio group. The candidate will focus on implementing models to compute the extinction coefficient of antibodies and address several outstanding feature requests for data handling, data curation, and workflow automation of mass spectrometry data.  This position is an excellent opportunity to work in a highly interdisciplinary, fast-paced environment and utilize diverse modeling approaches to improve and optimize process development workflows.

Knowledge, Skills, and Attributes required:

The ideal candidate will be highly motivated, have a strong background in data sciences, and will be able to bridge the gap between analytical needs and software capabilities.

Competencies Preferred/ Required: 

• Expertise in Excel, Python & R is required.
• Additional knowledge of pyspark, SQL, and databricks may be beneficial.
• Interest in analytical chemistry including liquid chromatography or mass spectrometry is a welcome bonus.