Gain practical experience by contributing to AI projects
Support research and innovation, enhancing AI knowledge
Collaborate with computer engineers and creative professionals
Lead and participate in rapid prototyping sessions
Document approach and share work with the organization
Conduct data collection, preparation, and cleaning for AI model training
Collaborate in the development and implementation of AI algorithms and models
Assist in testing, evaluation, and validation of AI solutions
Participate in discussions, brainstorming sessions, and knowledge sharing
Further develop the "AI Sandbox" for AI experimentation throughout the company
Explore and implement AI solutions (e.g., automating routine tasks, NLP, computer vision projects)
Requirements
Strong programming skills in languages such as Python
Experience with AI frameworks like TensorFlow or PyTorch
Basic understanding of machine learning algorithms, neural networks, and deep learning concepts
Familiarity with data preprocessing, feature engineering, and data analysis
Motivated self-starter with excellent problem-solving skills
Eagerness to learn, adapt, and take on new challenges in the AI field
Strong communication skills and the ability to convey complex technical concepts
Interest in a career in the Life Sciences field
Willingness to take initiative and ability to work well with others
Students entering their Junior or Senior year the following fall semester or entering graduate school; candidates who graduate the spring semester before this internship are also eligible
A minimum GPA of 3.0 is preferred
All candidates must provide proof of enrollment (including pre-registration certification for the following fall)
Benefits
401(k) options
Assigned mentor
Capstone presentation
Intern events
Fitness center access (if working onsite)
Onsite cafeteria option (if working onsite)
One-time housing stipend
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.