Senior Data Sciencist - AI & Scientific Applications

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. 

What You Will Do 

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 development practices. 

• Strong understanding of statistics, machine learning, data engineering, and model evaluation. 

• Experience working with large, complex, or messy datasets. 

• Ability to turn ambiguous scientific or technical problems into practical implementation steps. 

Preferred Experience and Skills 

• Experience in healthcare, pharmaceuticals, biotechnology, clinical research, medical affairs, or life sciences. 

• Experience with MLOps, CI/CD, automated testing, model monitoring, or AI evaluation frameworks. 

• Experience developing AI systems for regulated or quality-controlled environments. 

• Familiarity with cloud-native applications, containers, orchestration frameworks, or enterprise AI platforms. 

• Experience contributing to scientific publications, conference presentations, or technical communities. 

Why Join Us? 

We work on technical problems that matter. In this role, you will help create AI applications that support scientific research, reduce repetitive work, and make evidence-generation workflows faster and more consistent. 

We offer opportunities to learn from experts across science, medicine, data, and technology while contributing to systems that are used in real-world healthcare and life sciences settings. We support continuous learning, practical experimentation, and collaboration across disciplines. 

What You Will Help Deliver 

• AI applications that reduce manual work in evidence generation workflows. 

• More reliable methods for searching, synthesizing, and generating scientific information. 

• Reusable technical components that help teams build faster. 

• Tested and documented AI workflows that can be deployed, monitored, and improved over time.