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Principal AI Scientist (Digital Pathology & Machine learning)

United Kingdom
Posted about 16 hours ago
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Principal AI Scientist | Digital Pathology & Machine Learning | 12 Month Contract | Fully Remote

A global Life Sciences organisation is building out its internal capability for large scale imaging data and machine learning. We are supporting them with a senior individual contributor to act as the technical authority across data ingestion, governance and model development standards. This is an advisory and hands on assessment role rather than a delivery engineering seat.

Scope

  • You will shape how high volume digital pathology imaging is brought into an internal big data environment at scale, covering format handling, quality checks and integrity verification.
  • Alongside this you will define how imaging data and its associated metadata are anonymised so that filenames, embedded attributes and downstream artefacts all meet privacy and compliance expectations.
  • The organisation needs credible standards for dataset registries, versioning, training and validation split management, model lineage and reproducibility. You will design those concepts and then apply them, reviewing AI and ML architectures, data processing workflows and proposed implementation approaches, including work produced by external vendors and project partners.
  • You will also advise programme stakeholders on the regulatory, compliance and quality considerations that apply to machine learning solutions in a regulated Life Sciences setting.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Background required

  • MSc in computer science, statistics, computational biology or a comparable discipline. PhD welcomed.
  • Minimum five years in data science, statistics or business intelligence supporting AI and ML work within clinical research, pharma, CRO or medical device environments.
  • Deep Python capability across pandas, numpy, scikit learn, scikit survival, matplotlib, seaborn and shap, with disciplined use of virtual environments and version control.
  • Strong grounding in machine learning methods for clustering, classification, regression, anomaly detection and optimisation, ideally across both small and large datasets.
  • Working exposure to cloud platforms, with AWS or Google Cloud preferred.
  • Excellent written and spoken English, and the ability to explain complex technical concepts simply to non specialist stakeholders.

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Contract details

  • 12 months, starting October 2026.
  • Fully remote.
  • All work conducted in English.
  • Rate dependent on experience.

Applications to chris.bennett@discoverinternational.com but do please apply

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Skills

Digital Pathology
Machine Learning
Python
Pandas
Numpy
Scikit-learn
Scikit-survival
Matplotlib
Seaborn
Shap
AWS
Google Cloud
Data Governance
Data Ingestion
Model Lineage
Clinical Research

Location

United Kingdom

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