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Machine Learning / Biomedical AI Engineers - Structural or Sequence Biology

Umbilical Life
Berlin (DE), Paris (FR) - Two days onsite.
Per Annum
Start date
9 Jun 2024
Closing date
9 Jul 2024

View more

Data Management / Statistics, Statistics
Full Time
Contract Type
Experience Level
Experienced (non-manager)

Job Details

We are collaborating with a leading biotech developing technologies for biomedical AI applications in Immune-oncology

This role can be completed 2 days onsite in either location. 

I am searching for ML experts, looking at those who have designed and deployed algorithms for applications on Biological data.

You should have worked with one of; NGS/Multi-omics, Structural Data, Protein or Molecular Modeling data (Cheminformatics or Bioinformatics analysis). 

The ML Engineer's Responsibilities

  • Applications in Immunology, protein & RNA Biology, Infectious disease modelling and/or genomics
  • Design, implement and deliver scalable ML/AI algorithms on local and cloud computing
  • high-quality, maintainable, and modular code, documenting work for reporting and reproducibility.
  • Collaborations with business development, sales activities and representing company at events.

Your Profile 

  • PHD or Masters with significant experience
  • Studies in Machine Learning, bioinformatics or Computer science applied to biological data
  • Experience with Biological Data - structural biology, -omics, protein design, molecular modelling
  • Strong software engineering experience (Python, Docker, Linux).
  • Strong experience using a machine learning framework (PyTorch, JAX, TensorFlow).
  • Experience in development and deployment of ML frameworks and/or Deep Learning Methodologies

To be considered for SENIOR: would need 5+ years’ of experience in Machine Learning, including bringing ML into production, Leadership acumen,

Email me for more info -

(This role requires Biomedical knowledge and de-novo algorithm development skills) 


Umbilical will be a world leading provider of workforce solutions in Science, Technology and Engineering. 

Blending innovation and a commitment to entrepreneurship, we will ensure our customers and colleagues achieve the highest levels of satisfaction.

With nearly 75 years of workforce industry experience between us we know a lot, but not everything. 

We have created a Mission, Vision and a set of clear Values, providing‘guiding light’ as we all start building this Culture, or as we call it the CODE.   


Company info
011 6 461 0070
Premier House
9 Rutland Street

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