Pivotal is excited to expand our team and we are looking for an experienced, highly motivated Clinical Data Scientist — AI & Automation who shares our vision of providing clinical research excellence through the intelligent use of technology.
Joining Pivotal means becoming a member of one of the leading full-service contract research organizations in Europe, with a very solid reputation. This role promises direct client experience, career growth, and professional development within a scientific and data-driven company. You'll have the opportunity to work across a wide variety of therapeutic areas while actively shaping how AI transforms clinical research from the inside.
We are passionate and fully committed to medical science while leveraging cutting-edge technology, including AI, to make a positive impact
We take care of our employees, ensuring everyone receives permanent mentoring, training, and a push to always take one step further, as well as international experience that will accompany you throughout your career
We are continuously building our company, bringing together diversity of thoughts, backgrounds, cultures, and perspectives to create a place where everyone feels like they belong
You will operate at the crossroads of clinical data science and AI engineering, applying advanced analytical and automation skills to accelerate and improve clinical research, including:
Building, testing, and deploying AI agents that autonomously handle repetitive clinical research workflows — including data monitoring, anomaly flagging, automated Python-based report generation, and stakeholder notifications
Leveraging AI-assisted development tools and publicly available LLMs to design, build, and iterate on analytical pipelines and automation solutions with speed and precision




Designing and implementing predictive models and machine learning algorithms using frameworks such as scikit-learn and TensorFlow to anticipate study risks and detect data quality issues proactively
Developing interactive visualizations, dashboards, and automated Python-based reports to communicate findings clearly and consistently to both scientific and non-technical stakeholders
Applying ethical AI principles in a regulated clinical context, maintaining data governance, auditability, and patient data integrity at every stage
Collaborating with data architects, software engineers, biostatisticians, and product development teams to integrate AI solutions into existing clinical research infrastructure
Staying current with advances in AI, agentic systems, and data science methodologies and actively driving their adoption within Pivotal
University degree in Math, Physics, Data Science, Statistics, or a related field
~4+ years of experience in clinical data science or related roles at a CRO or pharmaceutical company
~ Understanding of ICH/GCP guidelines, 21 CFR Part 11, and applicable data privacy regulations.
~ Demonstrated hands-on experience building AI-powered workflows, automation pipelines, or agentic systems in a clinical or scientific context
~ LangSmith, LangFuse), and version control practices (Git)

Strong analytical thinking and ability to translate complex clinical data into actionable insights and scalable automated solutions
Proficiency in Python for data analysis, automated reporting, and AI agent development; working knowledge of R, SQL, SAS, and data visualization tools
Solid understanding of ML frameworks (scikit-learn, TensorFlow, or similar) for predictive modeling in regulated environments
Deep commitment to ethical AI, data governance, and regulatory compliance in clinical research
Fluency in English (spoken and written)
Career growth resources and adaptable work schedules
Training to enhance both therapeutic knowledge and cutting-edge AI and data science tool proficiency

📌 Clinical Data Scientist — AI & Automation (Madrid)
🏢 Pivotal
📍 Madrid