Enable job alerts via email!

AI scientist - Foundation Model development - Omics

Umbilical Life

United Kingdom

Hybrid

GBP 70,000 - 120,000

Full time

18 days ago

Generate a tailored resume in minutes

Land an interview and earn more. Learn more

Start fresh or import an existing resume

Job summary

A leading firm in the biotech industry seeks senior talent specializing in bioinformatics and deep learning. Candidates will work on the development of advanced models for drug discovery, collaborating closely with clients across the UK and EU. Opportunities include both individual contributor roles and customer-facing positions, ideal for those with a PhD and extensive experience in the relevant fields.

Qualifications

  • PhD required in a relevant field.
  • Experience with VAE, Transformers, GNN, or similar.
  • Deep experience in Omics and drug discovery models.

Responsibilities

  • Individual contributor to research and model development.
  • Engage in customer-facing roles as needed.
  • Contribute to advanced deep learning projects.

Skills

Deep Learning
Bioinformatics
Omics
NGS Data
Single Cell Modalities
Foundation Models

Education

PhD in Bioinformatics, Computer Science, Physics or similar

Job description

I am working with multiple clients across the EU and UK, this vacancy is for "general fit", should you be qualified, specific client details will be discussed on screening call.

Positions available, (UK/EU remote, hybrid and onsite (UK) roles).

General need

  • PHD in Bioinformatics, Computer Science, Physics or similar
  • Extensive experience in development of VAE, Transformers, GNN, Causal models, Network models or similar Deep Learning architectures
  • Deep experience in Omics, NGS Data, with a specific preference for Single Cell modalities
  • We are looking specifically for candidates who have developed, or fine tuned, foundation models for drug discovery

Roles available are individual contributor roles, senior roles or customer facing positions

Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.