A pioneering biotech company dedicated to advancing longevity and regenerative medicine. By harnessing breakthroughs in cellular biology, AI-driven analytics, and bioengineering, we develop cutting-edge solutions to enhance health and extend lifespan. Our multidisciplinary team of scientists, data engineers, and researchers collaborates to drive innovation in ageing research, biomarker discovery, and precision health technologies.
You’ll work on a platform that applies LLM-based pipelines to scientific literature, transforming it into structured knowledge that drives scientific research and insights.
We’re looking for a Senior Data Science to join a small, cross-functional team (2 engineers, 2 biologists) delivering value in fast, iterative cycles. You’ll work in a dynamic startup environment with shifting priorities and uncertainty.
The Data Scientist will play a pivotal role in analyzing and interpreting large-scale omics datasets—particularly proteomics—to accelerate the discovery of biomarkers, biological mechanisms, and drug targets related to human aging, healthspan, and lifespan. This role focuses on building, maintaining, and optimizing computational pipelines for both longitudinal and cross-sectional analyses, supported by robust statistical validation.
The successful candidate will contribute to an AI-driven drug discovery platform by overseeing quality control, generating derived phenotypes, automating metadata curation, and integrating external datasets. This position requires strong expertise in data science, bioinformatics, and applied statistics, paired with a passion for transforming complex biological data into actionable therapeutic insights.