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VECTIS Biosciences

Technical Co-founder / Head of ML Engineering

Oxford
Posted about 14 hours ago
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Compensation

Equity only until funding closes. We are in active investor conversations with leading European VCs and expect to offer competitive salaries once funded. This is a ground floor opportunity for someone who wants meaningful ownership in an Oxford spinout.

About Us

Vectis Biosciences is an Oxford spinout building a computational drug safety prediction platform. Given a drug’s molecular structure, our system predicts which adverse events it will cause and explains the exact biological mechanism behind each prediction, validated against independent experimental data.

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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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

We are in active investor conversations and looking for a technical co-founder or senior ML engineer to join at the ground floor.

What You Will Do

  • Production infrastructure and on-premise deployment for pharma customers.
  • Cloud API architecture and scaling.
  • Pipeline engineering for large compound library screening.
  • Model versioning, reproducibility, and security compliance.

What We Are Looking For

  • Strong ML engineering background with Python and PyTorch or similar.
  • Experience with computational biology, bioinformatics, or drug discovery is a strong plus.
  • Someone who wants to build a production product not just research code.
  • PhD finishing or industry background both welcome.

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What We Offer

  • Significant equity stake with standard four year vesting.
  • Oxford spinout with scientific advisory board.
  • Active investor conversations with Speedinvest and other leading European VCs.
  • The chance to build something that genuinely matters for drug safety.

To Apply

Email alice.condrat@ox.ac.uk with a brief intro and your background.

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Skills

Python
PyTorch
ML Engineering
Computational Biology
Bioinformatics
Drug Discovery
Cloud API Architecture
Pipeline Engineering
Model Versioning
Production Infrastructure

Location

Oxford, England, United Kingdom

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