Job:Bioinformatics Scientist - Becton Dickinson
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6.3 years ago

Bioinformatics Scientist

The successful candidate will work with a team of bioinformaticians, wet lab scientists, and software developers to develop analytical, statistical, and visualization algorithms, implement tools and software pipelines used to analyze large biological datasets e.g. DNA/RNA sequencing data.

Duties and Responsibilities

  • Work closely with senior bioinformatics scientists and bench scientists to develop analysis and visualization tools, and pipelines for analysis of large biological datasets
  • Debug pipelines and address pipeline issues raised by internal users in R&D and external collaborators
  • Perform benchmark analysis and evaluate pipeline performance
  • Support basic data analysis relating to pipeline performance
  • Evaluate third party bioinformatics tools for applications to our data
  • Collaborate effectively with other employees to help advance the company’s research and development and commercial goals


  • PhD in bioinformatics, biology, or equivalent.
  • Extensive experience in Genomics, understanding and familiarity with public genomic databases and methods to work with them, mainly NCBI (GenBank, RefSeq, etc.), UCSC, ENSEMBL, etc.
  • Proficiency in data analysis using Python (preferable) or R
  • Significant Python programming skills
  • Experience with Next Generation Sequencing technologies, tool usage, and data analysis
  • Experience with relational databases (e.g. PostgreSQL) and SQL language
  • Experience with Linux, shell (e.g. Bash) scripting
  • 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.

Preferred Skills

  • Experience with network analysis, machine learning algorithms highly desirable
  • Experience with software and pipeline development
  • Experience of development and computing in cloud (e.g. Amazon Web Services) and cluster environments (e.g. SGE/UGE)

Location: Menlo Park, CA

Apply here 

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