SAVANA ( is an award-winning, international medical company aiming to accelerate health science by putting into the hands of healthcare providers the power to unlock all of the clinical value embedded within existing Electronic Health Records (EHRs) with Artificial Intelligence and Natural Language Processing. Always ensuring maximum privacy and security.
\n
Todas las habilidades, cualificaciones y experiencia relevantes que necesitará un candidato seleccionado se enumeran en la siguiente descripción.
\n
Founded in 2014, Savana is an international medical company that has developed a scientific methodology that applies Artificial Intelligence (AI) to unlock all the clinical value embedded within Electronic Health Records' free-text (EHRs). With the largest AI-enabled, multi-language, multi-center research network in the world, Savana generates customized descriptive and predictive, High-quality Deep Real World Evidence research studies. Engineered by doctors for doctors, the company is built following the highest privacy-by-design standards.
\n
Savana operantes in more than 160 hospitals, 5 languages, 15 countries and has already improved more than 6 clinical practices with more than 100 employees from 10 nationalities. It constitutes a clinical research ecosystem that aims to advance personalized and precision medicine worldwide.
\n
AI Specialist – Clinical NLP at Savana
\n
We are seeking an experienced AI Specialist focused on building language-based AI systems for clinical and multilingual use cases. The role involves applying machine learning models and other AI techniques as the primary approach to NLP, complemented by a solid foundation in Large Language Models to deliver reliable, explainable, and production-ready solutions in regulated environments.
\n
The idóneo candidate has excellent understanding of supervised and unsupervised AI techniques, hands-on experience across the full AI lifecycle, self-learning skills, and a pragmatic mindset for selecting and combining techniques that best solve problems in clinical NLP.
\n
Major Accountabilities where this role is involved:
\n
- Design, develop, fine-tune, and deploy clinical NLP solutions in multilingual biomedical settings, including information extraction, classification, semantic search, and linking to standard terminologies.
- Apply traditional NLP and machine learning methods (e.g., sequence labeling, text classification, feature-based and neural models) using state-of-the-art AI libraries.
- Build structured LLM workflows, including prompt design, model adaptation, evaluation, and agentic orchestration of multi-step tasks and integration with downstream systems.
- Implement retrieval-based and knowledge-grounded NLP approaches using embeddings, ranking models, and structured knowledge sources, such as ontologies and knowledge graphs, to improve accuracy and traceability.
- Have an excellent understanding of the end-to-end AI lifecycle, from data preparation and feature engineering through training, validation, deployment, monitoring, and iteration.
- Design and implement AI-supported model evaluation, quality assurance, and explainability processes, including human-in-the-loop review and annotation workflows suitable for clinical validation.
- Collaborate with clinical experts, engineers, data scientists, and product teams to translate requirements into scalable AI solutions.
- Support projects within the team's core scope, including model development and validation for real-world evidence and clinical analytics.
- Stay current with advances in language modeling, NLP, and applied machine learning, assessing when new methods are appropriate for production use.
- Work effectively in a multicultural, multilingual environment, delivering results under tight timelines.
- Ensure adherence to security, privacy, and governance requirements, and report risks or improvement opportunities.
Information Security Management System Responsibilities\n
- Ensure familiarity with and adherence to the organization's information security policies and procedures.
- Participate in regular information security training sessions to stay updated on potential threats and necessary security measures.
- Promptly report any security incidents or vulnerabilities to the designated function within the organization.
- Maintain the confidentiality, integrity, and availability of information by following best practices for data handling and protection; including using strong passwords, encrypting sensitive data, regularly updating software, and promptly reporting any security incidents.
Quality Management System Responsibilities:\n
- Adhere to Savana's Quality Management System (QMS) policies, procedures, and applicable laws and regulations.
- Participate in and complete assigned training activities.
- Identify and report any de