Amgen is looking to develop statistical and computational tools for protein fingerprinting data to draw valuable insights and improve the lives of patients with serious illnesses
Requirements
Proficiency in Python and CLI
Strong foundation in statistics, including experimental design, hypothesis testing, and application of statistical methods to mass spectrometry (MS) data analysis
Prior experience with advanced proteomics mass spectrometry data
Strong analytical skills
Experience with mass spectrometry data analysis
Knowledge of bioinformatics, computational biology, or related field
Familiarity with electronic lab notebooks, presentations, and reports
Responsibilities
Review and evaluate published strategies for statistical analysis of footprinting MS data to draw valuable insights
Design and implement a computational tool for automated statistical evaluation
Benchmark performance across experimental designs and replicate structures
Present findings and recommendations to cross-functional scientists
Integrate the developed workflow into Amgen's internal MS data processing platform
Develop statistical and computational tools for protein fingerprinting data
Apply computational tools to cutting-edge protein research
Other
18 years or older
Graduated with a bachelor's degree from an accredited college or university
Currently enrolled in a graduate program (MBA, Masters, PharmD, or PhD) from an accredited college or university
Must not be employed at the time the internship starts
Student must be located in the United States for the duration of the internship
