ph3Job Function: /h3 pData Analytics Computational Sciences /p h3Job Sub Function: /h3 pData Science /p h3Job Category: /h3 pScientific/Technology /p h3All Job Posting Locations: /h3 pMadrid, Spain, Milano, Italy /p h3Job Description: /h3 h3Want to apply AI to real scientific and healthcare challenges?
/h3 pAt 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.
/p pWe are looking for a bSenior Data Scientist /b based in bMadrid /b or bMilan /b 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.
/p pThis 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.
/p h3What You Will Do /h3 pYou 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.
/p pYou 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.
/p pA 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.
/p pYou 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!
/p h3Required Experience and Skills /h3 ul liMaster's degree or PhD in Data Science, Computer Science, Statistics, Engineering, Bioinformatics, Life Sciences,



or a related field.
/li li5 or more years of experience building data science, machine learning, AI, or analytics solutions.
/li liStrong Python programming skills.
/li liExperience building applications, services, or pipelines that run beyond proof of concept.
/li liExperience with Large Language Models, Generative AI, prompt design, Retrieval-Augmented Generation, or related AI architectures.
/li liExperience working with APIs, databases, cloud platforms, and modern software development practices.
/li liStrong understanding of statistics, machine learning, data engineering, and model evaluation.
/li liExperience working with large, complex, or messy datasets.
/li liAbility to turn ambiguous scientific or technical problems into practical implementation steps.
/li /ul h3Preferred Experience and Skills /h3 ul liExperience in healthcare, pharmaceuticals, biotechnology, clinical research, medical affairs, or life sciences.
/li liExperience with MLOps, CI/CD, automated testing, model monitoring, or AI evaluation frameworks.
/li liExperience developing AI systems for regulated or quality-controlled environments.
/li liFamiliarity with cloud-native applications, containers, orchestration frameworks, or enterprise AI platforms.
/li liExperience contributing to scientific publications, conference presentations, or technical communities.
/li /ul h3Why Join Us?
/h3 pWe 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.
/p pWe 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.
/p h3What You Will Help Deliver /h3 ul liAI applications that reduce manual work in evidence generation workflows.
/li liMore reliable methods for searching, synthesizing, and generating scientific information.
/li liReusable technical components that help teams build faster.
/li liTested and documented AI workflows that can be deployed, monitored, and improved over time.
/li /ul pJohnson Johnson is an Equal Opportunity Employer.




All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law.
We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
/p pJohnson Johnson is committed to providing an interview process that is inclusive of our applicants' needs.
If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via internal employees contact AskGS to be directed to your accommodation resource.
/p h3Required Skills: /h3 pAdvanced Analytics, Business Intelligence (BI), Coaching, Collaboration, Critical Thinking, Data Analysis, Database Management, Data Privacy Standards, Data Reporting, Data Savvy, Data Science, Data Visualization, Econometric Models, Process Improvements, Technical Credibility, Technologically Savvy, Workflow Analysis /p h3Preferred Skills: /h3 pAdvanced Analytics, Business Intelligence (BI), Coaching, Collaboration, Critical Thinking, Data Analysis, Database Management, Data Privacy Standards, Data Reporting, Data Savvy, Data Science, Data Visualization, Econometric Models, Process Improvements, Technical Credibility, Technologically Savvy, Workflow Analysis /p h3The anticipated pay range for this position, in the primary posting location, is: /h3 p€******,00 - €******,00 /p h3The anticipated pay ranges for additional locations are: /h3 pThe anticipated base pay range for this position in ITALY is EUR ****** to EUR ****** /p h3Benefits: /h3 pIn addition to base pay, we offer the following benefits*: an annual premio with set target (% of pay) depending on pay grade / location, where the actual amount is based on the employees' and companies' performance of the previous calendar year, or sales commissions.
Moreover, we offer vacation days, parental leave for a minimum of 12 weeks, bereavement leave, caregiver leave, volunteer leave, well-being reimbursement, programs for financial, physical and mental health.
We also offer service anniversary and recognition awards, and subject to the terms of their respective plans, employees - and in some location's eligible dependents - can participate in several insurance plans.
For more information, visit Employee benefits | Supporting well?being career growth | Johnson Johnson Careers.
/p p*This is for informative purposes only.
Amounts and actual benefits may vary by location and are subject to change.
/p /p #J-*****-Ljbffr

📌 Senior Data Sciencist - Ai & Scientific Applications (Milano)
🏢 Johnson & Johnson Innovative Medicine
📍 Milano