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 SciencesJob Sub Function:
Data ScienceJob Category:
Scientific/TechnologyAll Job Posting Locations:
Madrid, Spain, Milano, ItalyJob 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.
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.
Johnson & 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.
Johnson & 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 https://www.jnj.com/contact-us/careers, internal employees contact AskGS to be directed to your accommodation resource.
Required Skills:
Preferred Skills:
Advanced 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
The anticipated pay range for this position, in the primary posting location, is:
€55.400,00 - €87.860,00The anticipated pay ranges for additional locations are:
The anticipated base pay range for this position in ITALY is EUR 48.600 to EUR 77.395
Benefits:
In addition to base pay, we offer the following benefits*: an annual bonus 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.
*This is for informative purposes only. Amounts and actual benefits may vary by location and are subject to change.
Skills Required
- Master's degree or PhD in Data Science, Computer Science, Statistics, Engineering, Bioinformatics, Life Sciences, or 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, or Retrieval-Augmented Generation.
- 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 translate ambiguous scientific or technical problems into practical implementation steps.
- 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.
Johnson & Johnson Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Johnson & Johnson and has not been reviewed or approved by Johnson & Johnson.
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Healthcare Strength — Healthcare coverage is characterized as comprehensive across medical, dental, and vision, with added supports like onsite clinics, fitness centers, and Employee Assistance resources. Mental-health services and wellbeing reimbursements are also described as meaningful components of the overall package.
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Retirement Support — Retirement offerings are portrayed as a major differentiator, combining a 401(k) with employer matching and an employer-funded pension plan. Stock options and other long-term financial supports are also positioned as part of the broader rewards mix.
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Parental & Family Support — Family-related benefits are presented as notably strong, including paid parental leave for all new parents and additional leave types for caregiving and bereavement. Financial assistance for adoption, fertility treatment, and surrogacy is highlighted as a significant support.
Johnson & Johnson Insights
What We Do
Profound Change Requires Boldness. Johnson & Johnson is the largest and most broadly based healthcare company in the world. We’re producing life-changing breakthroughs every day, and have been for the last 130 years. The combination of new technologies and your expertise enables amazing things to happen. Teams from J&J’s consumer business are creating digital tools to help people track the health of their skin. Those working in medical devices are 3-D printing artificial joints personalized for each patient, while researchers in pharmaceuticals use AI to discover lifesaving drugs. Imagine what the rest of our team of 134,000 people at 260 companies in more than 60 countries across the world is accomplishing. We redefine what it means to be a big company in today’s world. Social Media Community Guidelines: http://www.jnj.com/social-media-community-guidelines
