AI-Driven Life Sciences Venture Fellow

C10labs; Cambridge (MA); On-site; USD 70,000 - 110,000; Part time

Job summary

The AI Bio Hub Fellowship at C10 Labs in Cambridge invites an entrepreneurial Fellow to support founders across AI, biology, therapeutics, and healthcare. You will evaluate technical opportunities, conduct research, develop prototypes, and accelerate venture creation in a hands-on startup environment.

This fixed-term role is based in Cambridge, MA, offering collaboration with mentors, scientists, investors, and industry partners to translate scientific ideas into scalable life-science ventures.

Qualifications

• Bachelor’s, master’s, or doctoral degree in computer science, data science, engineering, computational biology, bioinformatics, biomedical engineering, biology, chemistry, public health, or a 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.
• Demonstrated interest in biotechnology, healthcare, scientific innovation, entrepreneurship, and venture creation.
• Ability to communicate effectively with scientific, technical, business, and investment audiences.
• Ability to manage multiple projects and work effectively in a collaborative, fast-moving environment.
• High ownership, intellectual curiosity, adaptability, and sound judgment.

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.
• Support the development, testing, and evaluation of AI models, prototypes, data products, and research tools.
• Help teams assess data availability, data quality, model performance, technical feasibility, validation requirements, and deployment constraints.
• Conduct analyses using biological, chemical, clinical, scientific, or healthcare datasets when appropriate.
• Evaluate relevant AI tools, technical infrastructure, research platforms, and emerging technologies.
• Promote responsible AI practices, including privacy, security, transparency, bias assessment, reproducibility, and appropriate human oversight.
• Research emerging areas at the intersection of AI, biology, therapeutics, and healthcare.
• Evaluate new venture concepts, technologies, markets, and company formation opportunities.
• Identify promising scientific founders, researchers, technologies, and potential industry partners.
• Support technical and commercial diligence on prospective companies.
• Develop market maps, investment theses, and ecosystem research.
• Support workshops, founder programming, mentor engagement, company reviews, and Demo Day preparation.
• Help connect founders with mentors, investors, researchers, clinicians, corporate partners, and potential customers.
• Document reusable tools, datasets, methodologies, and best practices for the AI Bio Hub community.
• Contribute to reports and materials communicating the AI Bio Hub’s activities and impact.

Skills

Machine learning

Python

Analytical skills

Communication

Entrepreneurship

Education

Bachelor’s/Master’s/PhD in CS/Computational Biology

Tools

Python

ML frameworks

Data analysis tools

Job description

The AI Bio Hub Fellowship at C10 Labs in Cambridge invites an entrepreneurial Fellow to support founders across AI, biology, therapeutics, and healthcare. You will evaluate technical opportunities, conduct research, develop prototypes, and accelerate venture creation in a hands-on startup environment.

This fixed-term role is based in Cambridge, MA, offering collaboration with mentors, scientists, investors, and industry partners to translate scientific ideas into scalable life-science ventures.