Sponsor: Rubicon Genomics
Recording Date: 2/19/2014
Recording Time: 1 hour
Medical, 401k, Vacations
We are seeking a highly skilled software developer with project management experience to make original contributions to a diverse set of scientific projects. The primary duties will be to design and implement data analysis pipelines that can run on Stanford University cluster as well as on Amazon AWS. Responsibility includes converting user requirements into design, implementation, testing, maintaining and distributing these software packages.
The developer will also be involved in building resources for research outreach including consumer facing documentation and related course websites. This position requires an individual capable of communicating with researchers, and technology vendors, handling and prioritizing tasks across multiple projects, and working independently on critical tasks.
● Four-year college degree in Computer Science, or a related field plus three years of related experience
● Proficiency with Linux, and distributed programming
● Proficiency with programming using Python or Java
● Experience with Amazon AWS
● Strong motivation to conduct independent and collaborative research
● Strong ability to multi-task
● Excellent communication and interpersonal skills
● Advanced degree in Computer Science, Bioinformatics, Computational Biology, Statistics, Applied Mathematics, or related field and 5+ years of experience in bioinformatics software development
● Project management experience preferably in biotech industry
● Experience with bioinformatics software (e.g. PLINK, BLAST, SAMTools)
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.
For more information, please visit http://scgpm.stanford.edu