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Open nowPosted 42 hours ago

Machine Learning (ML) Engineer

EURES job mobility portal441,128 open roles

Where
Agglomeratie Leiden en Bollenstreek, Netherlands
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Your applicationOpen nowMachine Learning (ML) EngineerEURES job mobility portal · Agglomeratie Leiden en Bollenstreek, Netherlands

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The clock on this job

Early applications get read.

8.3% of postings close within 7 days. Measured by our own scanner across the market. EURES job mobility portal postings stay open a median of 6 days.

Share of postings closed within
  1. 1.9%1 day
  2. 3.9%3 days
  3. 8.3%7 days
  4. 15.3%14 days
  5. 34.2%30 days
This job: posted 42 hours ago

EURES job mobility portal median: 6 days open

The posting

- Axiomer technology - How Axiomer and ADAR work Machine Learning (ML) Engineer - AI & Bioinformatics Share Department R&D ProQR Therapeutics is a NASDAQ-listed biotechnology company headquartered in Leiden, the Netherlands with an office in and Cambridge, Massachusetts, USA. At ProQR, we are on a mission to edit RNA, treat disease and change lives. A team of 180+ enthusiastic ProQRians from all walks of life and more than 30 different nationalities is committed to pioneering transformative RNA therapies to make a difference in the lives of the communities we serve. Our proprietary Axiomer™ RNA editing technology platform enables the editing of specific single nucleotides in RNA using the cells own editing machinery. Axiomer editing technology harnesses ADAR (Adenosine Deaminase Acting on RNA), a protein which is present in all human cells, to repair G-to-A mutations, modulate protein, and enable protective mutation functions. Axiomer could potentially yield a new class of innovative medicines and treat currently untreatable diseases. By harnessing the power of RNA editing, we aim to create a world where genetics inform your health - but never limit it. Our R&D department is currently looking for an experienced ML Engineer - AI & Bioinformatics to join our team in Leiden. The ML Engineer will contribute to the development of robust, scalable pipelines that transform complex experimental biology data into AI-ready datasets. This role supports both scientific modeling initiatives and the automation of critical bioinformatics workflows, contributing to a standardized and reproducible data infrastructure. This position is ideal for someone with a strong foundation in machine learning and data engineering who is eager to apply those skills to real-world biological challenges and data-driven decision-making. You will work closely with laboratory and computational scientists, bioinformaticians and domain experts to ensure seamless i...

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