AI Specialist - Clinical NLP
hace 5 días
Santiago de Compostela
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. 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. 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. AI Specialist – Clinical NLP at Savana 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. The ideal 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. Major Accountabilities where this role is involved: 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 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: 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 deviations from controlled processes or regulations. Work closely with the Quality Team to resolve Corrective and Preventive Actions (CAPA), deviations, and audit findings as deemed applicable. Contribute to the maintenance and review of Standard Operating Procedure (SOPs) and Application Manuals (AMs) related to team activities as applicable. Skills, Experience and Qualifications required: ≥3 years of previous experience in a similar role. Advanced degree (Master or PhD) in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Computational Linguistics, or related technical field. Proven experience delivering production-grade language AI systems, combining LLM-based approaches with traditional NLP and machine learning techniques. Strong foundation in applying machine learning for NLP, including classical algorithms, neural network models (e.g. Transformers), evaluation methods, explainability, and systematic error analysis. Practical experience with LLMs, including fine-tuning or adaptation, prompt design, evaluation, integration into larger systems, and orchestration using AI agents. Experience with Agentic AI for process orchestration and efficiency, integrating different AI models and frameworks. Advanced proficiency in Python. Experience with additional programming languages (e.g., R, Java, Scala) is a plus. Experience with cloud platforms such as AWS or GCP for model training, deployment, data pipelines, or monitoring is beneficial. Experience working with clinical, regulated, or sensitive data and/or multilingual text corpora is highly desirable. Strong analytical and problem-solving skills, with a pragmatic approach to model selection and system design. Clear communication and effective collaboration across technical and non-technical stakeholders. Attention to detail and a strong commitment to quality, validation, and responsible AI use. Fluent Spanish is mandatory. Knowledge of additional European languages (English, French, German, Portuguese, Italian) is an advantage. Proactivity and self-learning skills for keeping up-to-date with the latest AI advances for NLP. We offer: Work with a multidisciplinary team of clinicians, computer engineers, computational linguists, mathematicians, designers, medical Natural Language Processing expert programmers and other disciplines. We are a team of professionals with a common goal: to blend the knowledge of all of us to seek excellence in our purpose. Coming from very different disciplines, we want everyone to learn from everyone, creating a unique entity that moves towards the transformation of health through Artificial Intelligence. An opportunity to provoke a positive impact. We seek to improve health on the planet through technology and to help people and health institutions. Our employees and collaborators strive to provide our users with the necessary tools and support to achieve a more accessible and egalitarian global health. We care about our environment and we are willing to improve it. An environment to express yourself as you are and enjoy what you know. We defend individuality to form a richer and more plural "ecosystem". Be yourself and tell us what you have learned and how could we use it together to help us achieve our purpose. If you like what you do, we like to work with you. Competitive salary conditions, flexible culture and a development framework to growth your career. People are our main asset, so we invest in training and development and recognize and compensate for achievements and valuable work. We trust in the talent and commitment of people and focus on objectives and results, so we are flexible in our way of working, providing a framework to reconcile our personal and professional lives. Details from this job description are not to be used for marketing purposes. Savana does not accept unsolicited resumes from search firms. All resumes submitted by search firms to any employee at Savana via e-mail, the Internet or directly without a valid written search agreement will be deemed the sole property of Savana, and no fee will be paid in the event the candidate is hired by Savana. Medsavana S.L. (“Medsavana”) will process the personal data you provide to us during the selection process (the “Candidate’s Personal Data”) in order to manage your curriculum data and the selection process you are applying to. You can exercise the rights of access, rectification or erasure, restriction of processing, objection, portability, and to object automated individual decisions at the registered office of the company indicated or in the email . For more information, please refer to the privacy policy section on our webpage:
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