> Markdown version of [/jobs/ext/4704265-senior-founding-data-scientist-ai-ml-llms](https://www.wearedevelopers.com/jobs/ext/4704265-senior-founding-data-scientist-ai-ml-llms). 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). --- # Senior / Founding Data Scientist - AI, ML & LLMs - **Company:** Startingup Business Solutions Inc. - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Algorithm Design, Machine Learning, Natural Language Processing, Large Language Models, Model Validation, Generative AI, Information Technology - **Published:** November 13, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pz6vel2h5n ## About the Role * 5+ years of hands-on experience in Data Science / Machine Learning / Algorithms. * Strong, proven experience with Machine Learning and NLP- mandatory. * Hands-on experience with LLMs and Generative AI - big advantage * Experience with model evaluation, experimentation, and algorithm development. * Ability to take an open-ended problem from research and POC to implementation. * Master's degree or higher in Data Science, Computer Science, Biomedical Engineering, Statistics, or a related field. ## Description We are an innovative AI Healthcare startup looking for a Senior / Founding Data Scientist to take a role in shaping and building our AI capabilities., In this hands-on role, you will work on Machine Learning, NLP, and LLM-based solutions, from problem definition and research to experimentation, prototyping, and product implementation. * Translate clinical and business needs into technical problems and research questions. * Analyze clinical datasets and develop ML and NLP algorithms to address these problems. * Design and implement evaluation frameworks for LLM-based systems, covering response quality, retrieval relevance, agentic workflows, tool use, consistency (reliability) & cost. * Evaluate model performance using technical metrics and benchmarks, and validate outputs against clinical reasoning and physicians' decision-making. * Take ownership of projects from initial research through implementation, working directly with customers and clinical professionals to refine solutions.