Bioinformatics Scientist, Application Support

Becton Dickinson
Job Location
Menlo Park, CA

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Job Description

The successful candidate will work with a team of software developers, bioinformaticians, and wet lab scientists in a very exciting and cutting edge field of single cell genomics and expression analysis to develop and support bioinformatics software applications and pipelines used to analyze large multidimensional biological datasets, e.g. DNA/RNA sequencing data.


Duties and Responsibilities


  • Work closely with bioinformatics and wet lab scientists to develop and support Python software applications and pipelines
  • Address issues and answer questions raised by internal users and customers
  • Benchmark and evaluate pipeline performance, suggest improvement
  • Collaborate effectively with other employees to help advance the company’s research and development and commercial goals.



  • Bachelor’s degree required. Preferably in computer science, bioinformatics, or closely related field
  • Significant Python programming skills
  • Experience with software and pipeline development
  • Experience with Next Generation Sequencing technologies, tool usage, and data analysis required 
  • Experience with relational databases (e.g. PostgreSQL) and SQL language preferred
  • Experience with Linux, shell (e.g. Bash) scripting
  • Experience of development and computing in cloud (e.g. Amazon Web Services) and cluster environments (e.g. SGE/UGE) highly preferred
  • Team-oriented, strong communicator who effectively adjusts to technical and non-technical audiences
  • Able to prioritize and deliver results with a high emphasis on quality, technical rigor, and attention to detail


About Our Organization

Cellular Research, Inc., a biotechnology research and development company founded in 2011 by innovators from Silicon Valley and Stanford University, was recently acquired by Becton Dickinson and has become an integral part of the new start-up Genomics business at BD.

Our mission is to revolutionize life science research by enabling high-resolution investigation of single cells and limited samples, thereby creating new benchmarks and delivering new capabilities in discovery and drug development. Cellular Research has developed Molecular Indexing to deliver these capabilities.

Molecular Indexing is a revolutionary technology that enables direct and precise counting of individual molecules, genes, chromosomes, and other genetic materials in very small samples and individual cells. 


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