Buscar empleo: 1000+ ofertas de trabajo de talent en Catarroja (abril 2026) - page 17

Junior Clinical Data Scientist (Open to remote)

hace 13 días

Valencia

pSAVANA ( 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. /ppbr/ppFounded 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. /ppbr/ppSavana 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. /ppbr/ppstrongJunior Clinical Data Scientist at Savana /strong /ppbr/ppAs an integral part of the Clinical Data Science team, a Clinical Data Scientist must have a strong background in statistics as well as programming. They interact primarily with the Medical Unit team, with whom they must establish effective communication. Nonetheless, their role is also transversal within the organisation, enabling them to contribute their scientific knowledge to any area. /ppbr/ppstrongemMajor Accountabilities where this role is involved: /em /strong /ppbr/pulliDevelopment of Savana Research Study Protocols: drafting the analysis strategy for each study objective, calculation of minimum sample size. /liliPlanning and development of Statistical Analysis Plans to fulfill the requirements reflected in Savana Research Study Protocols. /liliDevelopment of new analytic strategies/pipelines to improve and maintain the Clinical Data Science analysis workflow. /liliData cleansing, wrangling/munging from raw data to analysis-ready data formats. /liliSupport in the development of NLP models and in the analysis of NLP model output. /liliProviding scientific support across the organisation. /liliPerformance of statistical analysis, application of different statistical methods ranging from descriptive to inferential. Graphical presentation of results. /liliDevelopment of multivariable explicative and predictive models. Development and maintenance of machine-learning frameworks for model training and validation. /liliKnowledge of explainability and uncertainty calculation of predictive models. /liliPresentation of analysis results to different audiences (internal staff, reports to clients, etc). /li /ulpbr/ppstrongemInformation Security Management System Responsibilities /em /strong /ppbr/pulliEnsure familiarity with and adherence to the organization's information security policies and procedures. /liliParticipate in regular information security training sessions to stay updated on potential threats and necessary security measures. /liliPromptly report any security incidents or vulnerabilities to the designated function within the organization. /liliMaintain 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. /li /ulpbr/ppstrongemQuality Management System Responsibilities: /em /strong /ppbr/pulliAdhere to Savana’s Quality Management System (QMS) policies, procedures, and applicable laws and regulations. /liliParticipate in and complete assigned training activities. /liliIdentify and report any deviations from controlled processes or regulations. /liliWork closely with the Quality Team to resolve Corrective and Preventive Actions (CAPA), deviations, and audit findings as deemed applicable. /liliContribute to the maintenance and review of Standard Operating Procedure (SOPs) and Application Manuals (AMs) related to team activities as applicable. /li /ulpbr/ppbr/ppstrongemSkills, Experience and Qualifications required: /em /strong /ppbr/pulliUniversity degree in a strong quantitative field (mathematics, engineering, statistics, computer science) or university degree in biomedical field (medicine, biology, pharmacy) with a master’s degree or PhD with strong quantitative component (statistics, bioinformatics, epidemiology, etc). /liliStrong academic background with experience in grant proposals and scientific paper publications, preferably in the field of clinical prediction / survival analysis. Previous experience in Machine Learning models applied to clinical scenarios is a plus. /liliPostgraduate degree in the field of Data Science/Machine Learning or 1-2 years of equivalent professional experience is a plus. /liliProgramming skills in Python and familiarity with Jupyter in collaborative environments. /liliDesirably programming skills in one or more of the following languages: python, R, SQL. /liliEnglish: professional working proficiency. /liliAbility to work in a multinational, multidisciplinary and fast-growing environment. /li /ulpbr/ppbr/ppstrongemWe offer: /em /strong /ppbr/pulliWork 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. /liliAn 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. /liliAn 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. /liliCompetitive 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. /li /ulpbr/ppemDetails 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. /em /ppbr/ppemMedsavana 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: /em /p

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