Job Function

R&D

Region

Europe

Shift

Day Job

Job Description

Agilent inspires and supports discoveries that advance the quality of life. We provide life science, diagnostic and applied market laboratories worldwide with instruments, services, consumables, applications and expertise. Agilent enables customers to gain the answers and insights they seek ---- so they can do what they do best: improve the world around us. Information about Agilent is available at www.agilent.com.
 

Agilent Research Laboratories is seeking an enthusiastic, experienced and skilled scientist to work in Petach Tikvah, Israel, as part of an international, innovative multidisciplinary team developing next generation technologies for life science research and diagnostics. Agilent Laboratories computational team focuses on informatics, algorithmic, statistical and visualization aspects of technologies and systems under development. The focus of this position will be developing novel artificial intelligence based approaches and algorithms for accurate analysis and interpretation of high volume measurement data, including high resolution imaging data. Therefore, we are seeking a researcher to build upon a strong working knowledge of machine learning, computational image analysis and signal processing. In this way, the successful candidate will help Agilent Laboratories continue its track record of powering the growth of Agilent Technologies through breakthrough science and technology.

 

As part of this effort, the successful candidate will:

  • in collaboration with other members of the team, use expertise in data science, machine learning, including in deep learning, statistics and broad understanding of life science measurement systems to investigate, define, develop and apply state of the art informatics, data analytics and data visualization tools and approaches to significantly enhance the practice of measurement data interpretation for biological and diagnostic applications, including interpretation of high resolution imaging data
  • communicate progress, results, challenges and opportunities to management and technical leadership, to selected external organizations, including collaborators, and, when appropriate, to the general scientific community via presentations at scientific conferences and in peer-reviewed publications

Schedule

Full-time

Requirements

REQUIRED QUALIFICATIONS:

  • MSc, PhD or equivalent research experience in an area of Computer Science, Mathematics, or Engineering with a specialization in the signal and image processing.
  • Experience with machine learning
  • Advanced knowledge of statistics and numerical/computational methods
  • Expertise in developing algorithms in Matlab or Python
  • Ability to provide technical leadership in signal and image processing
  • Self-motivated researcher able to work from broad objectives, detailed oriented and with strong problem-solving skill
  • Track record of innovation and scientific contribution as shown by peer-reviewed journal publications
  • Demonstrated excellence in communication and working collaboratively in multi-disciplinary teams

  • Excellent leadership skills
  • Flexibility in work hours to accommodate interaction with geographically distributed co-workers and collaborators.

 

DESIRED QUALIFICATIONS:

 

  • Experience in applying deep learning algorithms to digital microscopy images
  • Good understanding of analytical laboratory instrumentation
  • Understanding of measurement technologies underlying Agilent products
  • Experience designing and implementing analysis pipelines and data storage systems for image analysis workflows
  • Fluency in one or more object-oriented programming languages such as Java, Python, C# or C++
  • Experience in state of the art machine learning environments such as TensorFlow, PyTorch, or Keras
  • Experience with computer vision algorithms
  • Passion for developing effective data visualizations

Travel Required

Occasional

Location

Petach Tikva, Israel

Duration

Not applicable

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Confirmed 18 hours ago. Posted 30+ days ago.

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