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Genomics Machine Learning Engineer

Job description

Omics Data – Machine Learning Engineer


Based: Amsterdam or Zurich


I am collaborating with a very exciting, incredibly well backed, start up, Biotech company with offices in Amsterdam and Zurich. They are looking for a Machine Learning Engineer/Data Scientist to work on my clients ML data framework, developing and deploying ML pipelines.


Responsibilities


If you have expertise building and launching large-scale ML frameworks that supports the experimental needs of a research team, then please read below:


  • Participate in cutting edge research in statistical modelling and inference of biological problems (including cancer research, genomics, image recognition, computational biology/bioinformatics, and more)
  • Work at the intersection of machine learning research, software engineering and multimodal petascale+ data
  • Build for significant growth and scaling challenges as we transition from infrastructure as services to research
  • Develop my clients ML data framework and internal tools Use and augment a curated data lake-house of mixed biological data.
  • Improve the reliability and scalability of our ML framework as it grows
  • Engineer robust and reproducible data pipelines that enable collaboration within the team and with external parties
  • Enable data driven science discoveries in biology and healthcare
  • Develop software and workflows that support a long-term vision for ML research and production


Background


  • PhD in computer science, a related technical field, or comparable experience
  • Multiple of experience with production infrastructure, automation, and software engineering
  • Genomics, NLP, image analysis, or bioinformatics background
  • Expertise building and launching large-scale ML frameworks that supports the experimental needs of a research team
  • Distributed data processing and analysis tooling, such as Spark, Flink, Beam, etc.
  • Knowledge of open-source data lake(house) architectures like delta.io Machine learning and data science tools, such as TensorFlow, pyTorch, and Keras.
  • Thorough understanding of machine learning fundamentals, such as cross-validation, hyper-parameter search, model optimization and bias-variance trade off.
  • Experience in analysing and troubleshooting data management systems
  • Experience building and launching projects in a production software environment, including use of automated testing, version control, and deployment systems
  • A systematic problem-solving approach, effective communication skills and a strong desire to own and drive your work


A plus to have


  • Experience with (functional) programming languages such as Scala and Haskell
  • Experience with cloud computing environments, such as EMR, Databricks, Cloudera, etc.


Following your application Filipa Englefield, a specialist AI recruiter will discuss the opportunity with you in detail. She will be more than happy to answer any questions relating to the industry and the potential for your career growth. The conversation can also progress further to discussing other opportunities, which are also available right now or will be imminently becoming available.


This position has been highly popular, and it is likely that it will close prematurely. We recommend applying as soon as possible to avoid disappointment.


Please click ‘apply’ or contact Filipa Englefield for further information


Filipa Englefield


Recruitment consultant – Barrington James


Email: fenglefield@Barringtonjames.com

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