Job:Bioinformatics Programmer / Web Developer, Su Lab, Scripps Research Institute, San Diego, CA, USA
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8.2 years ago
Andrew Su 4.9k

The Su Lab is a bioinformatics research group that is equally interested in building computational infrastructure and in pursuing biomedical discoveries. We operate at the interface between biology, computer science, statistics, and software engineering. Our projects span a wide spectrum of disease areas (including osteoarthritis, cancer, cystic fibrosis), organisms (human, mouse, microbiomes) and technology platforms (genomics, transcriptomics, proteomics). We have a particular focus on building tools that leverage crowdsourcing, several of which are widely used by other bioinformaticians, biomedical scientists, and the general public.

The position being advertised will be involved in one or more NIH-funded projects focusing on building tools and infrastructure for management of biological data. Current representative projects include,,, and a new project focusing on cardiovascular Big Data.

We have an outstanding team right now, and we are committed to maintaining this standard of awesomeness. We strongly believe in diversity, and women and minorities are particularly encouraged to apply.

REQUIRED: A bachelor's degree in Computer Science or related field or an equivalent amount of experience. Requires a minimum of four years experience in software application development and programming. Must have proven expertise in building robust software in a multi-developer environment. Must be capable of leading more junior developers.

PREFERRED: The technology stack currently used in the lab includes:

  • jQuery
  • Bootstrap
  • Python/Django
  • Java/Tomcat
  • R/Bioconductor
  • Weka
  • Tornado
  • Postgres
  • MongoDB
  • ElasticSearch
  • uWSGI
  • Nginx
  • AWS EC2
  • Mercurial/git

Prior experience with one or more of these technologies is preferred. Descriptions of how and why you've used competing technologies is also welcome.

Prior experience with open-source software is strongly preferred. Including links to public code repositories is strongly recommended.

Interested parties should apply at

citizen-science crowdsourcing big-data • 3.0k views

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