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R Data Scientist

Santa Clara, California Agilent Technologies

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 ***************.

Agilent Research Laboratories is seeking an enthusiastic, experienced and skilled data science researcher to be part of an innovative, multidisciplinary team developing next generation technologies and instrumentation for life science research and diagnostics. Agilent Laboratories computational teams focus on informatics, algorithmic, statistical and visualization aspects of technologies and systems under development. The focus of this position will be research in applying data science and artificial intelligence technologies to significantly improve the performance and increase the capabilities of the measurement systems for applications across life sciences research and diagnostics. Therefore, we are seeking a researcher to build upon strong expertise in artificial intelligence and data science, statistics, computer science, scalable technologies such as Hadoop or Spark and strong working knowledge of a variety of structured and unstructured databases. 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 deep expertise in computer science, machine learning, including in deep learning, statistics and broad understanding of life science measurement systems to technically lead the invention, investigation, development and early application, of state of the art informatics, data analytics and data visualization tools and approaches to significantly enhance the performance of the life science instrumentation and laboratory

propose and define new and compelling projects that investigate the potential and demonstrate the promise of existing and invented tools and approaches

communicate progress, results, challenges and opportunities to management and technical leadership across Agilent, as well as to selected external organizations, including collaborators, and, when appropriate, to the general scientific community via presentations at scientific conferences and in peer-reviewed publications.

}, { label: Schedule Full-time }, { label: Requirements

REQUIRED QUALIFICATIONS:

Ph.D. or equivalent research experience in Data Science, Computer Science or similar field

2+ years of post-graduate research experience

Demonstrated expertise in programming language commonly used for data science, such as Python, R or MATLAB

Demonstrated expertise and hands-on experience with applied machine and deep learning

Demonstrated expertise and hands-on experience with deep learning platforms, such as TensorFlow, PyTorch, or Keras

Expertise in working with, parsing, and cleaning diverse data sources

Expertise and hands-on experience with scalable programming environments such as Hadoop or Spark

Expertise and hands-on experience with traditional relational databases, such as Oracle, SQL Server or Postgres

Experience with large scale data platforms such as Cassandra, MongoDB, Redshift, DynamoDB, Spanner, or BigTable.

Self-motivated researcher able to work from broad objectives, detailed oriented and with strong problem-solving skill

Strong 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

DESIRED QUALIFICATIONS:

Good understanding of analytical laboratory instrumentation

Understanding of measurement technologies underlying Agilent products

Demonstrated expertise in analyzing high volume experimental measurement data

Passion for developing effective data visualizations

Expertise and hands-on experience in Cloud computing, particularly Amazon Web Services

Fluency in one or more common programming languages such as Java, C# or C++

Experience with scalable, state-of-the-art data exploration and visualization tools

Experience with analyzing real-time sensor data

Experience with Natural Language Processing

Experience developing production software in a corporate environment or delivering research prototypes to such organizations

}, { label: Travel Required Occasional }, { label: Secondary Locations }, { label: Duration Not applicable

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