Database/UI developer for Bioinformatics Research

Stanford University
Job Location: 
Palo Alto, CA

Medical, 401k, Vacations

Job Description: 

We are seeking a software developer for development of a scalable and efficient genomic data warehouse and UI tools for analysis, management and visualization of genomic data. Responsibility includes converting user requirements into design, implementation, testing, maintaining and distributing these software packages.

An ideal candidate will have a background in software engineering, with strong focus on database, web services, and UI development. Candidate should also have a keen interest in scalable scientific computing, and Big Data technologies.


• Four-year college degree in Computer Science or a related field with 2 years experience
• Proficiency with Linux, cluster environment, and distributed programming
• Proficiency in programming using Python /JAVA/Scala and R
• Proficiency in SQL databases
• Experience with large scale data handling (Genomic Data, Big Data)
• Experience with cloud computing such as Amazon AWS framework
• Strong motivation to conduct independent and collaborative research
• Excellent oral and written communication skill in English
• Experience with bioinformatics software or algorithms
• 4 or more years of experience in software development

Contact Information: 
About Our Organization: 

The current revolution in genomics makes it possible not only to determine our entire DNA sequence but also to begin to understand how our specific genome sequence can inform our health. Someday both genetic and molecular profiling will become powerful and routine tools for predicting disease risk and monitoring and treating a wide range of pathologies. At Stanford, we are developing collaborative intellectual and technological resources that promote genomic research and analysis. This includes large basic science projects such as ENCODE that decipher the human genome, clinical research projects such as the sequencing of cancer genomes and individuals with inherited diseases as well as human population genomics for complex biomedical traits.

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