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- R&D Protein Footprinting Data Analysis Grad Intern. R-230569
Description
Protein Foot Printing Data Analysis Grad Intern – Biologics Engineering with Advanced Mass Spectrometry (BEAM)
What You Will Do
Let’s do this. Let’s change the world. During this program, you will develop statistical and computational tools for protein fingerprinting data:
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.
(Preferred) Integrate the developed workflow into Amgen’s internal MS data processing platform.
Present findings and recommendations to cross-functional scientists.
https://amgen.wd1.myworkdayjobs.com/en-US/Careers/details/R-D-Protein-Footprinting-Data-Analysis-Grad-Intern_R-230569?q=intern%20mass%20spectrometry
Requirements
BWhat We Expect of You
We are all different, yet we all use our unique contributions to serve patients. Are you a motivated and analytical student interested in applying computational tools to cutting-edge protein research this individual must have these qualifications:
Basic Qualifications:
Amgen requires that all individuals applying for a grad internship at Amgen must meet the following criteria:
18 years or older
Graduated with a bachelor’s degree from an accredited college or university
Currently enrolled in an MBA program for an MBA internship OR a Master’s program for a Master’s internship OR a PharmD program for a PharmD internship OR Ph.D. for a PhD internship from an accredited college or university and completion of the first year of MBA OR Master’s OR Pharm D OR Ph.D. program before the internship starts
Enrolled in an accredited college or university following the potential internship
Must not be employed at the time the internship starts
Student must be located in the United States for the duration of the [internship
Preferred Qualifications:
Currently pursuing a MS or PhD degree in Bioinformatics, Computational Biology, Statistics, Biostatistics, Data Science, Biochemistry, or a related field.
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, communication, and teamwork skills.
Onsite working with a team based in Amgen South San Francisco, California.
Strong teamwork, communication, and organizational skills, with the ability to document data and code in electronic lab notebooks, presentations, and reports.
https://amgen.wd1.myworkdayjobs.com/en-US/Careers/details/R-D-Protein-Footprinting-Data-Analysis-Grad-Intern_R-230569?q=intern%20mass%20spectrometry