Senior Data Sciencist - AI & Scientific Applications

7300-Janssen-Cilag S.A. Legal Entity; Madrid; Presencial; EUR 55.000 - 88.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Annual bonus

Vacation days

Parental leave (12 weeks)

Bereavement leave

Caregiver leave

Volunteer leave

Well-being reimbursement

Health programs

Service awards

Multiple insurance plans

Descripción de la vacante

Johnson & Johnson Innovative Medicine is seeking a Senior Data Scientist in Madrid or Milan to design, build, and deploy AI-powered solutions that blend machine learning, large language models, data engineering, and software development.

You will collaborate with scientists, product managers, engineers, and business stakeholders to translate scientific problems into practical technology capabilities, including AI-driven approaches where appropriate.

Formación

• Master’s degree or PhD in Data Science, Computer Science, Statistics, Engineering, Bioinformatics, Life Sciences, or a related field.

Responsabilidades

• Design, build, test, and deploy AI solutions combining ML, LLMs, data engineering, and software development.
• Collaborate with scientists, medical experts, product managers, engineers, and business stakeholders to translate complex problems into practical tech solutions.
• Develop AI quality methods, including test sets, benchmarks, and evaluation approaches to ensure accuracy, reproducibility, and robustness.

Conocimientos

Python

Data science

ML/AI

Large Language Models

Data engineering

API usage

Cloud platforms

Data visualization

Statistics

Problem solving

Coding quality

Software development

Experiment design

Team collaboration

Documentation

Educación

Master’s degree or PhD in Data Science, Computer Science, Statistics, Engineering, Bioinformatics, Life Sciences, or related field

Herramientas

APIs

Databases

Cloud platforms

CI/CD

Descripción del empleo

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions 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.

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.

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.
• 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.
• service anniversary and recognition awards.
• several insurance plans, subject to the terms of their respective plans, employees – and in some location’s eligible dependents – can participate in several insurance plans.

The anticipated pay range for this position, in the primary posting location, is: €55.400,00 - €87.860,00 The 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

Required Skills:

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

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

Do Not Sell or Share My Personal Information Limit the Use of My Personal Information

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions 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 https://www.jnj.com/.