--- title: 'Applied AI/Bio Scientist at Nabla Bio' canonical: 'https://feeny.ai/job/applied-ai-bio-scientist-nabla-bio-boston-fvzjj9kynby1' type: 'job' last_seen: '2026-09-16' --- # Applied AI/Bio Scientist at Nabla Bio - **Company:** Nabla Bio - **Location:** Boston, MA - **Employment:** full-time - **Work type:** onsite - **Posted:** 2025-08-25 - **Last confirmed live:** 2026-09-16 - **Apply:** https://jobs.gem.com/nabla-bio/am9icG9zdDpy05OnD2P4PldefZcljepH ## Job description ## The Role We’re hiring an exceptionally driven Applied AI/Bio Scientist to help push the boundaries of what’s possible in therapeutic design. You'll work across the full discovery stack — using state-of-the-art AI to tackle real therapeutic challenges and design drug candidates that were previously out of reach. This is an in-person role in Cambridge, MA. You will: - Apply and adapt frontier AI models to design biologics that push the limits on format, precision, and function. - Partner closely with internal and external scientists and engineers to advance molecules toward their Target Product Profiles. - Collaborate with AI research and engineering teams to improve core models and infrastructure for future discovery. - Leverage modern AI dev tooling to move fast and stay focused on high-value work ## Qualifications - 4+ years of experience developing or applying AI in biology, chemistry, or physics; therapeutic experience is a plus. - Experience collaborating with wet-lab teams or direct experience with biological experiments. - Strong fluency in Python. - Familiarity with HPC environments (e.g., Kubernetes, SLURM). - Experience with deep learning frameworks like PyTorch. - High agency and a track record of shipping quickly with quality ## What We Offer - A dry- and wet-lab team and platform that lets you generate and test high-impact therapeutic ideas in days or weeks, not months. - The chance to shape the next generation of drugs, both through Nabla’s internal pipeline and in partnership with world-class Top-10 pharma partners. - A team that deeply values technology and prioritizes technical excellence and rapid execution across AI and biology. - Highly competitive salary, equity, and benefits package. ## About Nabla Bio ## Company Overview - **One-liner**: Nabla Bio uses AI and large-scale wet-lab experimentation to design antibodies against previously undruggable disease targets. - **Entity Type**: Private (Seed-stage; $37M total funding) - **Headquarters**: Cambridge, Massachusetts, USA - **Founded**: 2020 (Y Combinator Summer 2020) - **Founders**: Surge Biswas and Frances Anastassacos ## Core Business - **Industry**: AI-powered drug discovery / Biotechnology (Antibody therapeutics) - **Target Customers**: B2B – large pharmaceutical companies (AstraZeneca, Bristol Myers Squibb, Takeda) - **Mission**: "Make drug development a true design discipline — reducing trial-and-error so better medicines can reach patients faster and with greater confidence." ## Products & Services - **Generative Drug Design Platform**: Combines de novo AI antibody design with high-throughput, human-relevant wet-lab testing (binding, developability, cellular function, and in-vivo performance). The integrated dry/wet-lab system is built and owned in-house to enable an iterative design loop. ## Market Standing - **Valuation/Market Cap**: Not publicly available - **Key Metric**: $37M in total seed funding (backed by Radical Ventures, Khosla Ventures, and Zetta Venture Partners) - **Notable Investors/Partners**: Radical Ventures, Khosla Ventures, Zetta Venture Partners, Y Combinator. Partners include AstraZeneca, Bristol Myers Squibb, and Takeda. - **Growth Signals**: Revenue-generating since early stage; secured high-profile pharma partnerships (Takeda deal announced October 2025); continuing to hire top ML and synthetic biology talent. ## Competitive Advantages - **Integrated dry/wet-lab engine**: Owns and controls the data, AI models, and experimental validation in one loop, rather than just providing software. - **Focus on undruggable targets**: Aims to double the number of disease-relevant drug targets accessible to the industry. - **Patient-relevant testing**: Wet-lab assays measure properties that matter in vivo, not just computational predictions. ## Strategic Focus - Scaling the platform to design drugs with pre-specified properties (binding, safety, manufacturability). - Deepening partnerships with top pharma companies to move designed molecules toward clinical development. - Expanding the frontier of measurable disease targets. ## Why Work Here - **Culture**: "Fully in-person and based in Cambridge, MA." The team values deep platform investment, high scientific standards, side-by-side collaboration, and learning quickly from results. - **Work environment**: On-site only (Riverside Technology Center, Cambridge). The company emphasizes focus, urgency, and a "problems rather than prestige" mentality. - **Team size**: ~22 employees (as of latest data), tight-knit mix of wet-lab and dry-lab scientists. - **Open roles**: AI Platform Engineer, AI Scientist, and Applied AI/Bio Scientist – all based in Boston, MA. ## Sources 1. [nabla.bio](https://www.nabla.bio/) 2. [nabla.bio/careers](https://www.nabla.bio/careers) 3. [jobs.gem.com/nabla-bio](https://jobs.gem.com/nabla-bio) 4. [builtin.com/company/nabla-bio](https://builtin.com/company/nabla-bio) 5. [ycombinator.com/companies/nabla-bio](https://www.ycombinator.com/companies/nabla-bio) ## Other roles at Nabla Bio - [AI Platform Engineer](https://feeny.ai/job/ai-platform-engineer-nabla-bio-boston-x7wjbrnnvzyz) — Boston, MA - [AI Scientist](https://feeny.ai/job/ai-scientist-nabla-bio-boston-841p9j67tmnh) — Boston, MA