Senior Data Sciencist - AI & Scientific Applications

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com . As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit. Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: Scientific/Technology All Job Posting Locations: Madrid, Spain, Milano, Italy Job Description: Want to apply AI to real scientific and healthcare challenges?   At Johnson & Johnson Innovative Medicine, we are building AI-powered applications that help teams find evidence faster, analyze scientific information at scale, and reduce manual work in research and evidence-generation workflows.   We are looking for a   Senior Data Scientist  based in Madrid or Milan to design, build, test, and deploy AI solutions that combine machine learning, large language models, data engineering, and software development. You will work closely with scientists, medical experts, product managers, engineers, and business stakeholders to understand their workflows, challenges, and unmet needs. Rather than simply implementing predefined requirements, you will help shape solutions by translating complex scientific and business problems into practical technology capabilities, including AI-powered approaches where appropriate.    This is a hands-on technical role for someone who enjoys solving complex challenges, writing high-quality code, testing AI outputs, and building scalable solutions that deliver meaningful value in scientific and healthcare workflows.

You will build applications that support scientific literature search, evidence synthesis, data exploration, study planning, and scientific content generation. This includes working with Large Language Models, Retrieval-Augmented Generation, prompt design, APIs, databases, cloud services, and enterprise data sources.   You will write and review Python code, develop data pipelines, integrate AI models, troubleshoot technical issues, and help move prototypes into production. You will also improve existing workflows by making them more accurate, scalable, maintainable, and easier to test.   A key part of the role is AI quality. You will create test sets, evaluation methods, benchmarks, and validation approaches that measure accuracy, consistency, reproducibility, and robustness. You will document assumptions, limitations, and recommended use so teams can understand when and how to rely on AI-generated outputs.   You will also guide technical decisions, review solution designs, mentor colleagues, and share practical knowledge across the team. We value people who can explain complex technical choices clearly and help others build better systems!   Required Experience and Skills   Master’s degree or PhD in Data Science, Computer Science, Statistics, Engineering, Bioinformatics, Life Sciences, or a related field.   5 or more years of experience building data science, machine learning, AI, or analytics solutions.   Strong Python programming skills.   Experience building applications, services, or pipelines that run beyond proof of concept.   Experience with Large Language Models, Generative AI, prompt design, Retrieval-Augmented Generation, or related AI architectures.   Experience working with APIs, databases, cloud platforms, and modern software