R&D Researcher, Big Data Bioinformatics

Agilent Technologies
Job Location
5301 Stevens Creek Blvd
Santa Clara, CA 95051


Job Description

Agilent Laboratories, Life Sciences and Diagnostics, is seeking an enthusiastic, experienced and skilled researcher to work as part of an international innovative multidisciplinary team developing next generation technologies for life science research, diagnostics and synthetic biology.

The focus of this position will be research in applying Big Data technologies for scalable life science data analysis. Therefore, we are seeking a researcher to build upon a strong working knowledge of bioinformatics, machine learning and big data technologies such as MapReduce, Apache Spark and NoSQL databases on both structured and unstructured data. The successful candidate will investigate, define, develop and apply, in collaboration with other members of the team, state of the art informatics, data analysis and data visualization tools to significantly enhance the practice of analyzing large life science datasets.

A successful candidate will 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.



• Ph.D. or equivalent research experience in an area of Bioinformatics, Computer Science, Mathematics, or other relevant field.
• Experience in designing or adapting bioinformatics algorithms for scalable high performance computing
• Experience using and managing multi-node compute clusters
• Fluency in one or more object-oriented programming languages such as Java, C# or C++
• Track record of innovation and scientific contribution as shown by peer-reviewed journal publications
• Self starting, requiring minimal supervision with strong problem solving skills
• Excellent communication, teamwork and leadership skills


• Hands-on experience with Hadoop and/or Apache Spark
• Good conceptual understanding of genomics, molecular biology, and common biological techniques such as PCR and next-gen sequencing.
• Experience with functional programming concepts (e.g. Scala, F#, Python, R, etc.)
• Hands-on Experience implementing high-performance, interactive cloud-hosted systems, particularly using Amazon Web Services
• Expertise in machine learning
• Experience developing production software in a corporate environment and/or delivering research prototypes to such organizations
• Experience working in Matlab, R and/or Python

Agilent Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.

How to Apply

http://www.jobs.agilent.com/ and reference requisition number 2061755

An analysis appearing in PeerJ finds that social media mentions of a paper may lead to increased citations.

NIH's Michael Lauer looks at the number of grants, their amount, and funding success rates at the agency for last year.

At Nature, Johns Hopkins' Gundula Bosch describes her graduate program that aims to get doctoral students thinking about the big picture.

Patricia Fara writes about childcare funding, and women in science and science history at NPR.