YOUR TASKS AND RESPONSIBILITIES

This intern will assists with exploring new technologies and techniques to support biological development staff and to provide on-the-training on process development activities

The primary responsibilities of this role, Protein Purification - International Intern, are to: 

• Design and perform experiments to develop a scalable purification process;
• Leverage knowledge of protein chemistry, preparative chromatography and/or membrane separation techniques to develop manufacturing process of biologics;
• Perform protein purification using AKTA Explorer or Avant, Unicorn and ChemStation programming;
• Isolate and purify protein using dead-end filtration, chromatography, and/or TFF;
• Organize, mine and analyze a large pool of development data;
• Perform statistical analysis of experimental data;
• Analyze process samples using analytical methods such as ELISA, CE, SDS-PAGE, HPLC;
• Maintain and stock laboratories consumables and participate in general laboratories activities as necessary.

WHO YOU ARE

Your success will be driven by your demonstration of our LIFE values.  More specifically related to this position, Bayer seeks an incumbent who possesses the following:

Required Qualifications:

• Currently enrolled in the sophmore or junior year of undergraduate/Bachelor-level studies OR 1st year Master’s level student in in chemical engineering, biological; engineering, chemistry, biochemistry or related scientific field;
• Currently enrolled in an accredited university outside U.S.A.;
• Available for 12 consecutive months from June 2020-June 2021;
• Ability to work her-/himself quickly into new fields;
• Must be a team player and have good communication skills.

Preferred Qualifications:

• Knowledge in protein chemistry, preparative chromatography and/or membrane separation techniques;
• Experience in protein purification using AKTA Explorer or Avant, Unicorn and ChemStation programming;
• Experience in protein purification using dead-end filtration, chromatography, TFF;
• Experience in organizing and mining a large pool of development data;
• Experience with statistical analysis software;
• Experience with analytical methods such as ELISA, CE, SDS-PAGE, HPLC;
• Candidate with previous research/development experience.