Biological Sciences AI Trainer

About the role

This program brings subject-matter experts together to enhance the capabilities of Large Language Models (LLMs) within specialized domains and subdomains. The Handshake AI Fellowship program runs year-round, though project availability will vary by domain.

Responsibilities

• Collaborate with AI researchers to develop and refine models tailored to specific biochemistry, biomedical engineering, and cognition & neuroscience/biopsychology applications.
• Contribute to the training and evaluation of LLMs using relevant datasets and methodologies.
• Participate in regular meetings and workshops to discuss progress and challenges.
• Write technical reports and present findings at internal and external conferences.

Requirements

• Undergraduate students majoring in Biochemistry, Biomedical Engineering, or Cognition & Neuroscience/Biopsychology.
• Strong academic performance and a demonstrated interest in AI and its applications.
• Basic understanding of programming and data analysis.
• Excellent communication skills and ability to work effectively in a team setting.

Qualifications

• Ability to think critically and creatively about complex problems.
• Passion for learning and staying updated on advancements in AI and related fields.
• Experience with Python, R, or other relevant programming languages.

Skills

• Programming skills (Python, R, etc.)
• Data analysis and manipulation
• Communication and teamwork

Benefits

• Opportunities to work with leading AI researchers and practitioners.
• Access to cutting-edge technology and resources.
• Professional development opportunities through mentorship and networking.

Pay

The fellowship offers competitive stipends based on experience and academic standing.

Schedule

Projects are flexible and can be conducted during the academic year or summer breaks, depending on availability and project requirements.