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Title

Biochemistry & Data Science Summer Intern 

EOE StatementWe are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.
 
About the Organization
AstraZeneca is a global, innovation-driven biopharmaceutical business that focuses on the discovery, development and commercialization of prescription medicines, primarily for the treatment of cardiovascular, metabolic, respiratory, inflammation, autoimmune, oncology, infection and neuroscience diseases. AstraZeneca operates in over 100 countries and its innovative medicines are used by millions of patients worldwide. For more information please visit www.astrazeneca.com .  
Description

Title: Biochemistry & Data Science Summer Intern

Location: Gaithersburg, MD

Duration: 12 weeks

AstraZeneca is a global, innovation-driven biopharmaceutical business that focuses on the discovery, development and commercialization of small molecule and biologic prescription medicines. AstraZeneca is pioneering innovative research and exploring novel pathways across key therapeutic areas, including respiratory, inflammation and autoimmunity; cardiovascular and metabolic disease; oncology; neuroscience; and infection and vaccines.

We are currently seeking candidates who are working towards obtaining a bachelor's degree in biochemistry or similar field with strong data science and programming knowledge. 

Goals/Objectives:

  1. Compile experimental data on product post-translational modifications (PTMs) under heat stress
  2. Associate experimental data with relevant metadata describing experimental conditions
  3. Generate 3D models of these proteins in the absence of experimental structural data
  4. Implement a machine-learning based approach to predict PTMs that may form under heat stress based on structural properties

Responsibilities:

It is expected that ~90% of the effort involved in training a machine learning model is data curation. Based on literature search, the student will identify physical and chemical properties that may be important to deamidation. As the predictive tool they are developing is likely to be most valuable during the early development process, when little experimental data is available, the student will use homology modeling to predict the 3D structure of these proteins given only the primary

 
Position Requirements

Position Requirements:

  • Minimum of 1 year of undergraduate work toward a B.S. in biochemistry or related field
  • Strong biochemistry knowledge. 
  • Excellent data science and programming skills. 
  • A proficient user of Python, R, and Microsoft Office Suite (Word, Excel, PowerPoint) 
  • Excitement and initiative to gain industry experience and learn new skills
  • Ability to work effectively and collaboratively in a diverse work environment to meet project milestones in a timely fashion
  • Excellent communication skills (both written and oral) to summarize development work, critical conclusions, and relevance to the bigger picture
  • Must be authorized to work in the US without sponsorship, be able to work onsite in Gaithersburg, MD for the summer, at least 18 years of age, and enrolled in a full-time academic program pursuing a minimum of a bachelor’s degree

 

Competitive compensation

 

 
Full-Time/Part-Time Seasonal  
Location Gaithersburg, MD  

This position is currently accepting applications.

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