AI Bio Hub Fellow
HybridCambridge, Massachusetts, United States
Job Summary
Identify high-value AI applications and define technical priorities for founders building companies across artificial intelligence, biotechnology, and therapeutics. Support venture creation by conducting scientific research, market analysis, and competitive assessments to accelerate company development. Evaluate AI models, prototypes, and data strategies while promoting responsible AI practices including privacy and bias assessment. Track program progress, assist with investor materials and diligence, and connect founders with mentors, investors, and industry partners. Develop market maps and investment theses to support the AI Bio Hub's mission of translating scientific innovation into high-impact ventures.
Required 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
Desired Qualifications
- Experience with computational biology, drug discovery, biological data, clinical data, medical imaging, healthcare data, synthetic biology, or digital health
- Familiarity with large language models, predictive modeling, multimodal AI, knowledge graphs, scientific machine learning, or laboratory automation
- Understanding of responsible AI, data privacy, scientific validation, or healthcare regulation
- Previous experience with a startup, research laboratory, biotechnology company, venture studio, accelerator, or investment firm
- Familiarity with the Cambridge and Boston biotechnology, healthcare, academic, and startup ecosystem
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