Description

By joining Bio-Techne, you’ll join a company with a powerful and positive purpose of enabling cutting-edge research in Life Sciences and Clinical Diagnostics. Bio-Techne, and all of its brands, provides tools for researchers to further treat and prevent disease worldwide.

All internship positions are designed to give college students an opportunity to apply techniques learned in an academic setting while obtaining new skills. This is a paid internship offering full-time hours during the summer months. All interns are required to conclude the program by giving a formal presentation on their work. Please note that no relocation assistance or sponsorship is provided for the internship program at this time.

Position Summary:

Machine Learning/AI Guided Antibody Design: The graduate internship is an excellent opportunity for to develop novel antibodies using machine learning and AI based tools. This position will involve tuning existing ML programs for Ab design so that wet lab data can be integrated for developing precisely engineered antibodies with desired properties.

Key Responsibilities:

• Develop novel strategies and optimize existing ML programs to enable input of wet lab data for better predictability.
• In collaboration with our wet-lab scientists use design-build-test cycles to develop functional antibodies

Qualifications

Program Requirements:

• Must be a currently enrolled student pursuing a graduate-level degree in a field relevant to the internship.
• Must be able to work full-time during the duration of the internship program.

Experience Qualifications:

• Strong understanding of statistics and machine learning fundamentals
• Practical experience developing deep learning models from scratch, and tuning existing ones
• Fluency in Python and commonly used higher-level language for model training
• Fluency with Unix environments, AWS, and GitHub
• Hands-on experience in protein/Ab design by applying machine learning and AI algorithms

Bio-Techne is an E-Verify Employer in the United States.