> Markdown version of [/jobs/ext/2284128-data-scientist](https://www.wearedevelopers.com/jobs/ext/2284128-data-scientist). 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). --- # Data Scientist - **Company:** TALENTO, INC. - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Python (Programming Language), Machine Learning, SQL Databases - **Published:** August 28, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pfuajb2vfl ## About the Role A real research track record - a PhD in a quantitative or biomedical field, or equivalent hands-on research experience in industry Machine learning applied to biomedical data, ideally biomedical imaging Confidence with scientific literature: you can read into a new area and turn what you find into something you can test The full research workflow - scientific question, dataset, analysis, validation, and presenting the result Solid applied statistics and reproducible analysis practice Python and/or R, plus SQL Clear scientific communication: you can explain methods, limitations and conclusions to pathologists, engineers and external partners alike Nice to have Computational pathology or whole-slide imaging experience; preclinical toxicology study design; pathology foundation models or self-supervised learning; SEND/CDISC or GLP familiarity; previous work in EU-funded consortia. ## Description There are very few places outside academia where you get to run your own research. This is one of them. * builds AI for digital pathology. We're hiring a Data Scientist into our AI R&D team to take ownership of research that is currently waiting for someone to own it - including building the preclinical pathology benchmark datasets that don't yet exist anywhere publicly, and the scientific work behind virtual control groups for animal studies. You'll have access to millions of whole-slide images and the resources to do something serious with them, working alongside pathologists and AI researchers who know the domain deeply. Some of this work sits within two major EU-funded research partnerships, BIGPICTURE and VICT3R, so your results reach well beyond * - and contribute directly to the 3Rs in animal research. What you'll be doing Building benchmark datasets and evaluation tasks for pathology foundation models, in a space where no public benchmarks currently exist Statistical characterisation of control datasets - trend analysis, confounders, and batch effects across sites and scanners Curating and quality-controlling large whole-slide image datasets and their associated study metadata Validating downstream pathology AI models and building the evidence to stand behind them Working directly with pathologists to ground your datasets and results in real tissue morphology ## Related Videos - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [Edit Your Future: Queerverse Radical AI](https://www.wearedevelopers.com/videos/909-edit-your-future-queerverse-radical-ai) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [What non-automotive Machine Learning projects can learn from automotive Machine Learning projects](https://www.wearedevelopers.com/videos/397-what-non-automotive-machine-learning-projects-can-learn-from-automotive-machine-learning-projects) - [TiDB, One Layer at a Time: How Distributed SQL Became an Agentic AI Backbone](https://www.wearedevelopers.com/videos/100117-tidb-one-layer-at-a-time-how-distributed-sql-became-an-agentic-ai-backbone) ## Related Articles - [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) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [Dev Digest 157: CUDA in Python, Gemini Code Assist and Back-dooring LLMs](https://www.wearedevelopers.com/magazine/557-dev-digest-157-cuda-in-python-gemini-code-assist-and-back-dooring-llms) - [Résumé-Driven Development: How IT trends affect the job market for software developers](https://www.wearedevelopers.com/magazine/59-resume-driven-development-how-it-trends-affect-the-job-market-for-software-developers)