Founding Machine Learning Engineer - Barcelona
Core
Building production ML models for biological data to help scientists understand cellular states, validate hypotheses, and guide experiments in noisy, sparse, high-dimensional environments.
Role type
Founding Machine Learning Engineer (Scientific ML)
Builds
Predictive models for cellular state, uncertainty quantification tools, and experimental design frameworks for life science clients.
Domain
Life Sciences / Computational Biology / Machine Learning
Deliverable
production ML models
Required skills
Machine learning judgment, probabilistic modelling, causal inference, dynamical systems, optimisation, statistics, applied mathematics, handling sparse/noisy data, first-principles reasoning
Preferred skills
Mechanistic models, hybrid ML, Bayesian methods, uncertainty quantification, benchmark design in novel problem spaces, research-to-production experience
Technologies
None explicitly stated
Responsibilities
Learning useful representations from limited biological experimental data, building biologically meaningful predictive models, evaluating models without clean benchmarks, guiding scientists on hypothesis testing and next experiments
Seniority
Founding, hands-on IC