Synthetic digital twins - the future of healthcare
Using synthetic data to unlock virtual patients
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Become part of the new paradigm in responsible AI development.
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RWE Data Scientist
As a Real-World Evidence (RWE) Data Scientist at Aindo, you will act as a strategic bridge between AI innovation and the clinical world, ensuring that our Generative AI solutions meet the rigorous standards of high-stakes healthcare research.
About the company
Aindo helps organizations unlock the full potential of their data without compromising privacy. Using cutting-edge generative AI, we create high-quality synthetic data that mirrors the complexity of real-world datasets—such as clinical records—yet contains no personal or sensitive information. Our technology empowers teams in healthcare, finance, and the public sector to accelerate AI development, train fairer models, and overcome the bottlenecks of restricted datasets.
Job Description
📌 Reports to: Chief Product & R&D Officer
📝 Contract: Permanent
📍 Location: Hybrid, preferably Milan or Trieste
Key Responsibilities
- Execute RWE Study Design: Apply advanced observational and quasi-experimental methods (e.g., target trial emulation, propensity score methods, G-computation) using both real and synthetic datasets
- Ensure Causal Fidelity: Implement validation frameworks to ensure synthetic data preserves the underlying cause-and-effect structures required to replicate clinical treatment effects
- Technical Bridge: Translate complex biostatistical requirements into actionable constraints for our Machine Learning engineers to ensure regulatory-grade outputs
- Contribute to Original Research: Co-author and submit papers to peer-reviewed journals, showcasing our innovations in synthetic data and causal identifiability
- Methodological Support: Serve as a subject matter expert on bias identification and study specifications, supporting clinical partners in maintaining high research standards
What we look for
- Master’s or PhD in Biostatistics, Epidemiology, Statistics, or a related field
- 3+ years in biostatistics, pharmacoepidemiology, or clinical data science working with real-world data
- Solid hands-on experience with the potential outcomes framework, IPTW, matching, instrumental variables, and sensitivity analyses
- Proficiency in Python (preferred) or R, with experience in reproducible research workflows (Git)
- Proven ability to communicate complex statistical methodologies to both technical and non-technical stakeholders
- Familiarity with FDA and EMA guidance regarding the use of RWE and synthetic data in evidence generation
What we offer
✨ Total Wellbeing: A comprehensive package including private health insurance, meal vouchers, and a remote-friendly policy.
🚀 Impact: The opportunity to shape how synthetic data is adopted by the global Life Sciences industry and regulatory bodies.
🤝 Innovative Culture: An ethical and flexible environment where scientific initiative is valued and cross-disciplinary curiosity is encouraged.
How to apply
To apply, please send your CV to [email protected], with the subject “RWE Data Scientist”.
Aindo is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation / Age.
Spontaneous Application
Whether your expertise is in Technology, Product, Business and more, you will help us design, scale, and refine the tools and processes that drive our mission forward. We value professionals who actively contribute to our ecosystem through innovation, technical excellence, and a proactive mindset.
What we look for
Beyond your technical background, we look for:
- Ownership: you are a person who thrives on taking responsibility and creating processes from scratch
- Agility: you enjoy solving complex problems in a fast-paced environment
- Collaboration: you believe that the best solutions come from diverse, cross-functional teams where initiative is valued
- Communication: you are fluent in Italian and English
What we offer
💡 Growth & Impact: join a fast-growing company where you’ll lead strategic projects, shape solutions and see the tangible impact of your work
🌴 Flexibility & Wellbeing: hybrid or fully remote work, ticket restaurant and health insurance
🤝 Collaborative Culture: work in autonomous teams with highly talented colleagues, in a supportive, innovative and ethical environment
How to apply
To apply, please send your CV and a motivation letter to [email protected], with the subject “Spontaneous Application - [Your Area of Expertise]“.
Aindo is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation / Age.
why you should join us
Work in a friendly and engaging environment
We are driven by a deep passion for science and technology, fostered by close cooperation with academia and active engagement in scientific discourse.
What we offer
A unique role at the forefront of generative AI. Founded in 2018, we are one of the first teams fully dedicated to generative models for synthetic data. Our work has pushed the boundaries of what is possible in this field. We have disseminated our work at top-tier AI conferences, including NeurIPS; in academic journals of the highest quality such as IEEE Access; and secured a patent for our groundbreaking work
Flexibility. We believe that people do their best work when they feel most comfortable. For this reason, we offer the possibility for remote work. We also take your personal circumstances into consideration to facilitate a good work/life balance, for instance with the possibility to work part-time.
A friendly and inspiring work culture. We are a young and ambitious team. We are driven by a shared appreciation for AI and its societal applications. Besides colleagues, we are also friends and we often engage in social events. We value open-mindedness, originality, and creativity and welcome people from all walks of life into our team!
Development opportunities. At Aindo, you get to work at the interplay of science and real-world applications. This means you will deepen your knowledge of innovative technologies, but also of their practical use. We foster your talent by offering opportunities to engage in coursework, attend international conferences, and other growth opportunities.
