> Markdown version of [/jobs/ext/2548141-forward-deployed-scientist-ai-agents-drug-discovery-enterprise-biotech](https://www.wearedevelopers.com/jobs/ext/2548141-forward-deployed-scientist-ai-agents-drug-discovery-enterprise-biotech). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Forward Deployed Scientist (AI Agents | Drug Discovery | Enterprise Biotech) - **Company:** Carnaby Fox - **Location:** South San Francisco, CA, United States - **Salary:** $190,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Bioinformatics, Computational Biology, Data Integration, Github, Python (Programming Language), Language Modeling, Cloud Platform System, Large Language Models, Electronic Medical Records, Virtual Agents, Software Coding, Automation Anywhere - **Published:** August 8, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=de9b38dcb1c2eca9 ## About the Role We're looking for AI-native scientists who combine deep scientific expertise with startup execution, customer empathy, and a passion for solving real-world problems. Ideal candidates will have: PhD (or MD/PhD) in Biology, Chemistry, Pharmacology, Bioinformatics, Computational Biology, or a related discipline 1-6 years of post-PhD industry (Startup) experience in leading pharmaceutical companies, biotechnology organizations, CROs, or life sciences consulting firms Deep expertise in at least one stage of the drug development lifecycle: * Drug Discovery * IND-Enabling * Clinical & Translational Research An AI-native mindset, actively using LLMs and AI tools to accelerate scientific workflows Strong customer-facing experience, including scientific consulting, stakeholder engagement, solution design, workshops, or training delivery Practical coding skills (Python preferred) with familiarity in GitHub and cloud environments Startup experience is mandatory preferred. Tech stack Python, ChEMBL, PubChem, RFdiffusion, ProteinMPNN, ESM, Simcyp, GastroPlus, NONMEM, LLMs / AI Agents, Genomic Foundation Models, Protein Language Models, CDISC, EHR/Claims Data, GitHub, AWS Who Isn't the Right Fit? This role is intentionally selective. It is not designed for candidates who: Have purely academic backgrounds without meaningful industry experience Focus exclusively on mechanistic biology or early-stage target discovery Lack customer-facing or stakeholder engagement experience Have worked only in large, process-heavy organizations and are uncomfortable with startup pace and ownership Prefer management responsibilities over hands-on scientific execution Don't actively leverage AI in their daily work Have no practical coding capability The team values scientific excellence, adaptability, ownership, customer obsession, and execution speed equally. #Hiring #ForwardDeployedScientist #ArtificialIntelligence #BiomedicalAI #DrugDiscovery #Biotech #LifeSciences #ComputationalBiology #Bioinformatics #MachineLearning #LLMs #AIAgents #StartupHiring #TechnicalRecruitment #ScientificCareers #EnterpriseAI #Pharmaceuticals #HiringNow, * Do you have 1-6 years of post-PhD or post Graduation startup industry experience in a biotech/pharma startup, CRO, or life sciences consulting firm? (Yes/No) **Mandatory** * Do you have deep expertise in at least one of these; drug discovery, IND-enabling, or clinical R&D? **Mandatory** * Do you have hands-on experience with AI Agents, LLMs, Python, GitHub, AWS, and scientific workflows in drug discovery or biomedical research? **Mandatory**, * Doctorate (Preferred) ## Description You'll work directly with enterprise scientists to understand complex research workflows, deploy AI-powered solutions, improve AI agent capabilities, and influence product direction through real customer feedback. You'll think like a scientist, communicate like a consultant, and execute like a product builder. You'll have the opportunity to: * Design AI-powered scientific workflows * Partner with leading pharmaceutical and biotech organizations * Improve next-generation biomedical AI agents * Drive enterprise adoption of AI products * Influence product strategy through customer insights * Help shape the future of AI-powered drug discovery. What You'll Be Building You'll help develop the intelligence powering AI agents across the drug R&D pipeline. Your work will include: Designing scientifically rigorous AI workflows for drug discovery and development Collaborating directly with enterprise scientists to solve complex research problems Building biomedical skills, tools, and data integrations that improve AI agent performance Developing evaluation frameworks that ensure scientific quality, reliability, and accuracy Delivering customer workshops, scientific training sessions, and product enablement Working closely with Product and Engineering teams to transform customer feedback into new capabilities Every solution you build will directly influence how leading pharmaceutical organizations leverage AI to accelerate biomedical innovation. ## Related Videos - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [Guiding Agentic AI with Vue](https://www.wearedevelopers.com/videos/2033-guiding-agentic-ai-with-vue) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [HR ROBO SAPIENS: Decoding AI Agents and Workflow Automation for Modern Recruitment](https://www.wearedevelopers.com/videos/1470-hr-robo-sapiens-decoding-ai-agents-and-workflow-automation-for-modern-recruitment) - [How to Stop Your Agents From Going Rogue - Arnav Gupta](https://www.wearedevelopers.com/videos/2152-how-to-stop-your-agents-from-going-rogue-arnav-gupta) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [The Fastest-Growing Tech Sectors to Look Out for in 2025](https://www.wearedevelopers.com/magazine/373-the-fastest-growing-tech-sectors-to-look-out-for-in-2025) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)