AI-Driven Life Science Venture Fellow

C10 Labs; Cambridge (MA); On-site; USD 60,000 - 90,000; Full time

Job summary

The AI Bio Hub Fellowship, hosted in Cambridge, MA, seeks entrepreneurial fellows to support founders at the intersection of AI and life sciences. You will evaluate opportunities, perform scientific and market research, develop prototypes, and help articulate clear narratives for partnerships and fundraising.

Ideal candidates have strong ML/AI focus, a computational biology background, and comfort working across scientific, technical, business, and investment audiences.

Qualifications

• Bachelor’s, master’s, or doctoral degree in computer science, data science, engineering, Computational biology, bioinformatics, biomedical engineering, biology, chemistry, public health, or related field.
• Experience with machine learning, generative AI, data analysis, computational research, or software development.
• Proficiency in Python and relevant AI, data science, or scientific computing tools.
• Strong analytical, research, writing, and problem-solving skills.

Responsibilities

• Work directly with founders to identify high-value AI applications and define technical priorities.
• Support companies with scientific research, market analysis, product strategy, customer discovery, and competitive assessment.
• Help founders translate complex scientific and technical concepts into clear product, partnership, and investment narratives.
• Assist with company presentations, investor materials, diligence preparation, and fundraising research.
• Track company goals, milestones, risks, and program progress.

Skills

ML/AI

Python

Data analysis

Communication

Entrepreneurship

Education

Bachelor’s/Master’s/PhD in CS or related

Computational biology

Tools

Python

Job description

The AI Bio Hub Fellowship, hosted in Cambridge, MA, seeks entrepreneurial fellows to support founders at the intersection of AI and life sciences. You will evaluate opportunities, perform scientific and market research, develop prototypes, and help articulate clear narratives for partnerships and fundraising.

Ideal candidates have strong ML/AI focus, a computational biology background, and comfort working across scientific, technical, business, and investment audiences.