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Senior Machine Learning Engineer - Structural Biology and Biologics

Umbilical Life
Paris (Département), Ile-de-France
Per Annum
Start date
16 May 2024
Closing date
15 Jun 2024

View more

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

Job Details

My Client, a leading Biotech focusing on developing BioAI solutions for the life science industry is searching for a SENIOR MACHINE LEARNING ENGINEER for their team


  1. Collaborate with researchers to develop machine-learning methods for computational biology problems.
  2. Assist in implementing and testing novel research ideas alongside research scientists.
  3. Design and implement models, tools, and libraries to support research efforts efficiently.


  1. M.S./Ph.D. in Computer Science, Machine Learning, or related fields.
  2. Proficiency in Deep Learning frameworks like PyTorch, Tensorflow, or Jax.
  3. Strong programming skills in Python3 or similar languages, with experience in software engineering principles.
  4. MUST HAVE: experience with (structural) biology data types (can also consider sequence bio experts) 

Nice to Have:

  1. 2-5 years of experience in Reinforcement Learning, Computer Vision, or Natural Language Processing.
  2. Knowledge in structural biology or molecular dynamics.
  3. Published scientific papers in Artificial Intelligence or Bioinformatics domains.

You will join a highly productive team working on BioAI solutions at the forefront of technology, 

Position is 2 days onsite in Paris.

Must have current RTW in Paris. No sponsorship given. 

Email me for any questions -


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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