About Us
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 Project
The 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 data
Supports clinical trial workflows and health assessments
Hosts LLM-powered AI tools for aging analysis and personalized insights
You'll work as part of a senior, multidisciplinary team that is reshaping how we understand—and extend—human healthspan.
Location
Remote-first in Italy
️ What You’ll Work On
As 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 pipelines
Translate biometric, wearable, and behavioral data into actionable healthspan predictions
Collaborate cross-functionally with product, engineering, and research to prototype and deploy new models
Help establish best practices for monitoring, versioning, and validating ML systems
Contribute to our long-term AI/ML roadmap, especially around explainability and personalization
What We’re Looking For
Must-Have Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related STEM field
3+ years of hands-on experience in applied machine learning and data engineering
Strong Python skills, with clean code and OOP foundations
Production 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 Dagster
Comfortable owning the full lifecycle of a model, from prototyping to monitoring
Fluent in English
Nice-to-Have / Bonus Skills
PhD or postdoctoral research in a quantitative or biomedical field
Experience working with biometric, time-series, or wearable health data
Exposure to edge deployment or embedded AI systems
Knowledge of model monitoring (drift detection, explainability, etc.)
Background in medtech, biotech, or regulated environments
Italian language skills (optional but welcome)
What We Offer
Competitive annual salary based on experience
A front-row seat in transforming healthcare through AI and longevity science
Work with a passionate, international team
Real opportunity for growth and leadership
Fully remote with async flexibility and collaborative culture
️ Language Requirements
Strong English communication skills (spoken and written) are essential.
How to Apply
Send the following to jobs@nuraxi.ai with the subject line:
“Full Stack React/Django Candidate Application”
Your CV or LinkedIn profile
Your GitHub, portfolio, or project samples
We 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 available
A Note on Inclusivity
We 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.