Amgen-posted 3 days ago
$30 - $40/Yr
Intern
Onsite • South San Francisco, CA
5,001-10,000 employees

Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Protein Foot Printing Data Analysis Grad Intern – Biologics Engineering Statistics 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. What 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:

  • 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.
  • Integrate the developed workflow into Amgen’s internal MS data processing platform.
  • Present findings and recommendations to cross-functional scientists.
  • 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
  • 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.
  • Build a network of colleagues that will endure and grow throughout your time with us and beyond.
  • Bring your authentic self to the table and become the professional you’re inspired to be through accepting a culture that values the diversity of thought and experience and will flex to your strengths and possibilities.
  • Participate in executive and social networking events, as well as community volunteer projects.
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