Medical Research Expert (Open to remote)
hace 18 horas
Madrid
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. Medical Research Expert at Savana Major Accountabilities where this role is involved: Project Leadership and Scientific Oversight • Lead the overall context of the project's development, ensuring clinical and scientific coherence across all phases when needed and alignment with cross-functional teams and timelines., • Act as the main scientific liaison with the Sponsor or external stakeholders, anticipating challenges, tailoring our services and products to their perspective, and enhancing relationship quality and trust., • Provide medical guidance across the research lifecycle: project definition, protocol development, statistical analysis review, variable extraction, study reports, and scientific dissemination., • Ensure consistency and clinical relevance of study objectives, endpoints, inclusion/exclusion criteria, data sources, and final results. Interpretation and Scientific Validation • Perform critical review of study results, contextualizing findings within the medical landscape and aligning with the latest scientific developments., • Review and validate both structured and unstructured clinical data outputs generated by AI models., • Collaborate with multidisciplinary teams to validate study designs and clinical assumptions. Scientific Communication • Contribute to the preparation of scientific materials (articles, posters, abstracts) ensuring clarity, accuracy, and clinical relevance., • Translate complex clinical findings into actionable insights for internal non-medical teams., • Support the company’s scientific positioning through evidence-based communication adapted to different audiences (clients, partners, regulatory bodies, scientific community). Cross-Functional Clinical Guidance • Provide clinical and conceptual guidance to support the company’s interpretation of medical content using NLP and ML technologies., • Contribute across key functions including: i) Data onboarding and structuring during hospital integration; ii) Annotation team support and criteria clarification; iii) Terminology development and model refinement; iv) Data quality validation; v) Scientific support for the Life Sciences and Healthcare Units during project and product scoping. Innovation and Product Development • Provide clinical input to the design, evaluation, and improvement of new products, tools, and functionalities aligned with real-world medical needs and 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: • Degree in Medicine or exceptionally other life science disciplines, with demonstrated experience and understanding of clinical practice and healthcare systems., • Clinical research experience (in clinical trials and/or real-world evidence studies), particularly in study design, interpretation, and scientific communication., • 3–5 years of experience in a similar or related role involving scientific oversight and medical review., • Strong ability to interpret and validate structured and unstructured clinical data, including outputs from NLP and AI-based tools., • Solid understanding of epidemiological and research methodology concepts., • Familiarity with clinical terminologies (e.g., SNOMED CT) and standard classification systems., • Proficient computer skills, including MS Office; experience with digital platforms or health data systems is a plus., • Excellent written and verbal communication skills in both English and Spanish., • Ability to communicate complex clinical concepts clearly to multidisciplinary and non-medical audiences., • Strong cross-functional collaboration skills, particularly with data science, analytics, technology, and product teams., • Experience contributing to or co-authoring scientific publications, abstracts, or presentations is desirable. If you are practical, experienced, proactive, independent, articulate, passionate about facilitating the digital transformation of healthcare, fascinated by Artificial Intelligence, the future of medicine and determined to solve healthcare's biggest problems. You are a Savaner. Join us! 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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