Bayesian Data Scientist -Series C HealthTech

Overview

Bayesian Data Scientist - Series C HealthTech

About the Company: American Series C HealthTech start up in revenue stage; $200m funding (recent funding Feb 2025); Fully remote within the UK

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.

Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates

Job Details

• Contract Type: Permanent
• Focus: Data Science & AI Research
• Industry: Medical and Nursing
• Workplace Type: Remote
• Experience Level: Mid Management
• Location: England
• Salary: £90,000 - £120,000 per annum + Equity
• Job Reference: MRPABW-CCAC745D
• Date posted: 3 September 2025
• Consultant: Karen Cordner