Nuraxi Holding SRL is pioneering the future of AI-driven healthcare and longevity science. We lead the SABA (Sardinian Aging Biomarkers Analysis) project—a landmark study into the markers of healthy aging in Sardinia's renowned "Blue Zone." Our mission is to unlock actionable insights from biometric, genomic, and behavioral data through cutting-edge technology and precision medicine.The ProjectThe SABA project combines wearable technology, AI, and precision medicine to understand longevity factors in Sardinia's "Blue Zone" population. You'll contribute to a sophisticated production platform that :Processes and visualizes biometric and behavioral dataSupports clinical trial workflows and health assessmentsHosts LLM-powered AI tools for aging analysis and personalized insightsYou'll work as part of a senior, multidisciplinary team that is reshaping how we understand—and extend—human healthspan.LocationWhat You’ll Work OnAs an ML Engineer / Data Scientist at Nuraxi, you’ll be a core contributor to the development of our AI systems. Your work will power the digital twin models that drive personalized insights for thousands of users across clinics and health platforms.You will :Design, build, and maintain end-to-end machine learning pipelinesTranslate biometric, wearable, and behavioral data into actionable healthspan predictionsCollaborate cross-functionally with product, engineering, and research to prototype and deploy new modelsHelp establish best practices for monitoring, versioning, and validating ML systemsContribute to our long-term AI / ML roadmap, especially around explainability and personalizationWhat We’re Looking ForMust-Have QualificationsBachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related STEM field3+ years of hands-on experience in applied machine learning and data engineeringStrong Python skills, with clean code and OOP foundationsProduction experience deploying models in cloud environments (GCP, AWS, or similar)Experience with ML platforms (e.g., MLflow, Vertex AI, SageMaker, TFX)Familiarity with data orchestration tools like Airflow or DagsterComfortable owning the full lifecycle of a model, from prototyping to monitoringNice-to-Have / Bonus SkillsPhD or postdoctoral research in a quantitative or biomedical fieldExperience working with biometric, time-series, or wearable health dataExposure to edge deployment or embedded AI systemsKnowledge of model monitoring (drift detection, explainability, etc.)Background in medtech, biotech, or regulated environmentsItalian language skills (optional but welcome)What We OfferCompetitive annual salary based on experienceA front-row seat in transforming healthcare through AI and longevity scienceWork with a passionate, international teamReal opportunity for growth and leadershipFully remote with async flexibility and collaborative cultureLanguage RequirementsStrong English communication skills (spoken and written) are essential.How to ApplySend the following to with the subject line :Full Stack React / Django Candidate Application”Your CV or LinkedIn profileYour GitHub, portfolio, or project samplesWe review applications on a rolling basis. Early applicants will be prioritized.Note : Applicants must have a valid work permit for Italy. Unfortunately, visa sponsorship is not availableA Note on InclusivityWe know that not everyone ticks every box—and that’s okay. Studies show that women and other underrepresented groups are less likely to apply for a role unless they meet every single requirement. At Nuraxi, we value potential, curiosity, and mission alignment as much as experience. If you're passionate about our work and think you could make a contribution, we strongly encourage you to apply—even if your background doesn't perfectly match the job description.Nuraxi is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, ethnicity, religion, gender, sexual orientation, age, disability status, or any other legally protected characteristic.
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