Bayesian Data Scientist -Series C HealthTech

Overview

American Series C HealthTech startup in revenue stage; $200m funding (recent funding Feb 2025); fully remote within the UK.Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates.About the Job

We’re seeking a skilled Data Scientist with strong expertise in Bayesian and probabilistic modelling, combined with knowledge of modern AI techniques like generative models and advanced inference.Responsibilities

Design and implement Bayesian and probabilistic models for real-world challenges.Develop reusable predictive features and inference tools optimised for performance.Apply techniques like Bayesian neural networks, variation inference, Markov Chain Monte Carlo, Gaussian processes, and diffusion models.Collaborate across teams to integrate models into production systems.Analyse data rigorously to validate models and provide actionable insights.Requirements

Experience with Bayesian inference methods, including MCMC, variational inference, expectation-maximisation, and probabilistic graphical models.Proficient in Python and probabilistic programming frameworks such as PyMC, NumPyro, or TensorFlow Probability.Familiar with classical machine learning and deep learning frameworks, including transformers and diffusion models.Strong skills in feature engineering, model evaluation, calibration, and uncertainty quantification.Ability to translate complex problems into structured, data-driven solutions.About the Job Details

Contract Type: PermanentFocus: Data Science and AI ResearchIndustry: Medical and NursingWorkplace Type: RemoteExperience Level: Mid ManagementLocation: EnglandSalary: £90,000 - £120,000 per annum + EquityJob Reference: MRPABW-CCAC745DDate posted: 22 September 2025Consultant: Karen ..... full job details .....