Principal Computational Methodologist (UK)

Berkshire Source: WhatJobs

See advert for pay

Overview

In this role, you shape how advanced AI, ML, and computational methods support clinical development. You will design and validate models that inform biomarker discovery, trial design, and patient experience, then deploy scalable tools for cross-functional teams. You’ll translate complex methods into practical solutions while meeting scientific, technical, and regulatory standards. You will work with diverse partners to advance evidence-based decision making and publish impactful findings. This position offers a meaningful opportunity to drive value for patients through innovative data science.

Pay / Benefits

hybrid-first work model
equal opportunity employer
global presence and collaboration
growth and career development
supportive, inclusive culture
values-driven mission

Responsibilities

Lead AI and ML projects addressing clinical development, biomarker, operational, and decision-support needs
Design, build, test, and refine deep learning models for text, graphs, biological sequences, and clinical data
Develop generative AI applications using foundation models and large language models
Run rigorous, reproducible AI experiments on internal and public datasets to generate publishable results
Partner with engineering to package methods into applications, platforms, and scalable validated solutions
Mentor colleagues and represent the team in publications, presentations, and external collaborations

Key requirements

PhD in a related field
Industry experience, ideally in pharma, clinical development, or regulated data environments
Proficiency in Python, R, or similar languages; ability to guide others in coding
Knowledge of supervised, unsupervised, Bayesian, and deep learning approaches
Experience with ML infrastructure, reproducible research, Linux/HPC, and software/platform development
Strong communication with scientific, technical, medical, and business partners; collaborative mindset