--- title: 'Research Scientist Intern, AI Molecular Design at GenBio AI' canonical: 'https://feeny.ai/job/research-scientist-intern-ai-molecular-design-genbio-ai-palo-alto-h6nc1x0q1pgz' type: 'job' last_seen: '2026-10-15' --- # Research Scientist Intern, AI Molecular Design at GenBio AI - **Company:** GenBio AI - **Location:** Palo Alto, CA - **Employment:** internship - **Work type:** onsite - **Posted:** 2026-10-08 - **Last confirmed live:** 2026-10-15 - **Apply:** https://jobs.lever.co/genbio/7d0b5764-48ce-4d06-93d2-431742d35604 ## Job description GenBio AI is an AI for Science company on a mission to make biology fully computable. We are building AIDO (AI-Driven Digital Organism) to simulate living systems, decode biology holistically, and accelerate medical and scientific research. Our first step toward that mission is AIDO Cell, the first virtual cell world model that holistically simulates cell biology from molecules up to whole-cell behavior. It enables researchers to run experiments virtually, predicting how cells respond to genetic changes, drugs and other interventions before going into the lab. It is supported by AIDO Foundry, an AI-builds-AI engineering framework for automating virtual cell development, and AIDO Lab, an interface to digitally run experiments and observe the results. Together they form the foundation for a new paradigm in AI-driven drug discovery, bioengineering, and fundamental biomedical research. Qualifications: - M.S. or Ph.D. student (or evidence of equivalent level of expertise) in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field. - Available for a 6-month, in-person internship in Palo Alto, CA, and authorized to work in the U.S. for the duration of the internship. - Skilled in developing, implementing, and debugging deep learning methods/models in popular frameworks, such as JAX, TensorFlow, or PyTorch, with an interest in generative models, graph neural networks, or large-scale deep learning applications. - Strong theoretical foundation (e.g., statistics, optimization, graph theory, linear algebra). - Passion for interdisciplinary research (emphasizing the intersection of AI and Biology), and willingness to acquire necessary domain knowledge. - Motivated and self-driven with the ability to operate with partial descriptions of high-level objectives (as is typical in a start-up environment). - Familiarity with software engineering best practices (version control, documentation, etc). Nice to Have: - 3 year PhD student and above. - Proven track record in research and innovation demonstrated through contributions in top-tier AI/ML (e.g., NeurIPS, ICML, CVPR, ECCV, ICCV, ICLR) and/or core biology (e.g., Nature, Science, or Cell) journals and conferences. - Intern experience in industry (e.g., OpenAI, FAIR, Deepmind, Google Research). - Hands-on experience working at the intersection of AI and Biology, particularly protein structure prediction, protein sequence/structure modeling, or molecular design. - Experience with biological structure prediction algorithms or models such as AlphaFold2/3 or RoseTTAFold. - Experience in generative modeling for biological structures and sequences, including diffusion models, flow matching, or related approaches. - Experience in large-scale distributed training and inference. - Open-source contributions, especially if used by others. Join us as we embark on this journey to redefine the future of biology and medicine. We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. GenBio AI participates in the U.S. Department of Homeland Security’s E-Verify program to confirm the employment eligibility of all newly hired employees. For more information on E-Verify, please visit www.e-verify.gov. ## About GenBio AI ## Company Overview - **One-liner**: GenBio AI develops the world's first AI-Driven Digital Organism (AIDO), an integrated system of multiscale foundation models to predict, simulate, and program biology for drug design, bioengineering, and personalized medicine. - **Entity Type**: Private (Startup, Seed stage) - **Headquarters**: Palo Alto, California, United States - **Founded**: 2024 - **Founders**: Eric Xing (Chief Scientist), Le Song (CTO), Ziv Bar-Joseph (Co-Founder & CSO), Emma Lundberg (Co-Founder & Chief Strategic Advisor) ## Core Business - **Primary Industry**: AI-Driven Biology / Generative Biology / Research Services - **Target Customers**: B2B – pharmaceutical companies, biotech firms, and biomedical research institutions - **Mission**: To achieve comprehensive, actionable empirical understandings of the mechanisms underlying all organismal physiologies and diseases, paving the way for a new paradigm in drug design, bio-engineering, personalized medicine, and fundamental biomedical research, all powered by Generative Biology. ## Products & Services - **AI-Driven Digital Organism (AIDO)**: An integrated system of multiscale foundation models covering DNA, RNA, Protein, and Cell data. Used for predicting, simulating, and programming biological systems from molecular interactions to virtual cells. - **Generative Biology Platform**: A suite of AI models that enable drug design, vaccine safety prediction, treatment personalization, and clinical diagnostics. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed - **Key Metric**: Total Funding – 1 prior funding round (amount undisclosed). Headcount: 53 employees (+84.8% YoY growth). - **Notable Investors/Partners**: Founding team backed by prominent financial investors; scientific collaborations with Carnegie Mellon University (CMU) and Mohamed bin Zayed University of Artificial Intelligence (MBZUAI). Key personnel include Eran Segal and Fabian Theis as Senior Scientific Fellows. - **Growth Signals**: Rapid headcount growth (84.8% YoY), global expansion with offices in Palo Alto, Paris, and Abu Dhabi, release of six foundational AI models covering DNA, RNA, Protein, and Cell, and strong LinkedIn following (33,454 followers, +155.9% yearly). ## Competitive Advantages - **World-Class Founding Team**: Led by renowned AI scientists Eric Xing (CMU/MBZUAI President) and Le Song, with senior fellows from top academic institutions. Combines deep expertise in AI, machine learning, distributed computing, and computational biology. - **First-Mover in AI-Driven Digital Organism**: Pioneering the concept of a unified, multiscale AI model for biology, which is a significant moat against competitors building single-purpose models. - **Global, Cross-Disciplinary Talent**: Team spans 5 countries (US, France, UAE, Canada, UK) and blends computational biology, machine learning, molecular science, bioinformatics, and business expertise. ## Strategic Focus - **Current Priorities**: Continue developing and refining the AIDO platform, expand the suite of foundation models, grow the global team, and establish partnerships with pharmaceutical and biotech companies to commercialize discoveries. - **Direction for Growth**: Scaling the engineering and research teams, deepening integration of AI with wet-lab biology, and expanding into new therapeutic areas and bioengineering applications. ## Why Work Here - **Mission-Driven Culture**: A shared commitment to transforming biology through AI, with a focus on responsible AI practices and ethical oversight. The company emphasizes ambitious, game-changing goals. - **Cross-Disciplinary Collaboration**: Research and engineering blend seamlessly—scientists engage in software development, engineers participate in biological research. All technical hires are “Members of Technical Staff.” - **Flexible Work & Global Hubs**: Most roles require regular presence in Palo Alto, Paris, or Abu Dhabi, but the company offers 52 flexible remote workdays per year per local policy. Relocation support is provided. - **Competitive Compensation**: Includes competitive salary, equity, robust retirement plan matching, performance recognition, and regular reviews. - **Generous Benefits**: Premium health, dental, and vision coverage, mental health resources, fixed PTO, generous parental leave, annual education stipend, home office stipends, and commuter benefits. - **Rapid Growth & Impact**: With 84.8% headcount growth in the past year and only 53 employees, new hires have direct impact on the company’s foundational technology and strategy. - **Open Roles (as of search date)**: Product Engineer (Palo Alto, on-site) and Research Scientist, Applied Science (Palo Alto, on-site). Internship applications accepted via Lever. ## Sources 1. [genbio.ai – Careers Page](https://genbio.ai/careers/) 2. [genbio.ai – Introducing GenBio AI](https://genbio.ai/introducing-genbio-ai/) 3. [genbio.ai – Research Page](https://genbio.ai/research-2/) 4. [LinkedIn – GenBio AI Company Profile](https://linkedin.com/company/genbioai) 5. [Lever – GenBio AI Job Postings](https://jobs.lever.co/genbio) ## Other roles at GenBio AI - [Vice President of Business & Corporate Development](https://feeny.ai/job/vice-president-of-business-corporate-development-genbio-ai-palo-alto-1ktjtm6zq0c7) — Palo Alto, CA - [Director, Engineering](https://feeny.ai/job/director-engineering-genbio-ai-palo-alto-23ja6v3twf5b) — Palo Alto, CA - [Staff / Principal Software Engineer](https://feeny.ai/job/staff-principal-software-engineer-genbio-ai-palo-alto-1r16qrpaehzg) — Palo Alto, CA - [Research Scientist, Applied Science](https://feeny.ai/job/research-scientist-applied-science-genbio-ai-palo-alto-y05c3v3rk2yq) — Palo Alto, CA