> Markdown version of [/jobs/ext/2307811-lead-data-scientist](https://www.wearedevelopers.com/jobs/ext/2307811-lead-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Lead Data Scientist

- **Company:** SR2
- **Location:** London, UK
- **Experience:** Expert
- **Salary:** £130,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Bioinformatics, Computational Biology, Distributed Systems, Python (Programming Language), Machine Learning, Tensorflow, Software Deployment, Reinforcement Learning, Pytorch, Deep Learning, Model Validation, Pyspark, Dask, Machine Learning Operations
- **Published:** August 30, 2026
- **Apply:** https://www.collegerecruiter.com/job/2815101111-lead-data-scientist

## About the Role

* PhD in Machine Learning, Computational Biology, Statistics, Bioinformatics, or a related quantitative field.
 * Background in cardiovascular, cardiometabolic, or precision medicine research.
 * Proven experience developing deep learning models using Python, PyTorch, or TensorFlow.
 * Strong understanding of statistical modelling, causal reasoning, and predictive analytics.
 * Demonstrated experience working with large-scale health, genomic, or biobank datasets (e.g. UK Biobank, All of Us, Our Future Health).
 * Exposure to production deployment and model lifecycle management (MLOps awareness a plus).
 * Strong communicator with the ability to operate between science and engineering teams., * Experience integrating multi-omic or imaging data with clinical outcomes.
 * Knowledge of cloud platforms (AWS, GCP, or Azure) and distributed computing tools (PySpark, Dask, or Ray).
 * Familiarity with reinforcement learning or causal ML for adaptive interventions.

## Description

* Design, train, and deploy state-of-the-art machine learning and deep learning models to predict health outcomes and disease progression.
 * Apply advanced statistical and causal inference methods (e.g. survival analysis, time-to-event modelling, propensity scoring, Mendelian randomisation).
 * Analyse and integrate multi-omics and clinical datasets to uncover novel biomarkers and risk factors.
 * Build and productionise end-to-end ML pipelines, from research to deployment.
 * Collaborate with clinicians, engineers, and product teams to translate scientific findings into scalable tools.
 * Contribute to model evaluation, explainability, and validation across diverse data sources.


## Related Videos

- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)
- [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data)
- [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding)
- [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery)
- [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning)
- [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models)

## Related Articles

- [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)
- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)
- [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)