Software Developer, Research

Organization
Stanford University, School of Medicine - Department of Genetics
Job Location
Palo Alto, CA
Salary
$70-90k/yr
Benefits

Full medical, dental, vision + worklife

Job Description

Stanford Center for Genomics and Personalized Medicine (SCGPM), situated in the heart of SF Bay Area, has an excellent opportunity available for a motivated Bioinformatics Software Developer. This is a key position with Center’s Big Data Genomics Core team that will support a collaborative research project with VA Hospital.

The ideal person for this position is a computational ninja who is passionate about improving health care. Our highly dedicated core team works with dozens of high profile academicians, petabytes of data, thousands of computational cores, dozens of Industry leaders while supporting hundreds of researchers.

The successful candidate will have deep knowledge of scientific software development, experience with massive scale data analysis, and a strong grasp in high performance computing. The main focus for this position involves development of clinical grade software for NGS variant analysis and interpretation.

Requirements

Qualifications:

-- Four-year degree in Computer Science,Computational Physics/Biology, Bioinformatics or related field and one year of related experience.
-- Five years of work experience. In exceptional cases, an advanced degree or post-doctoral
experience will be considered in lieu of work experience.
-- Experience with next-generation sequencing data.
-- Excellent verbal and written communication skills.
-- Proven experience working in a Linux environment.
-- Experience with Cloud architecture.
-- Proven ability to develop large scale software. This includes requirements and specification
development, regression, and deployment.
-- Expert programming skills in Java/Python. Expert programming skills in Django/Ruby On
Rails. Familiarity with C++ and Perl are useful.
-- Strong background in one or more of: machine learning, statistical methods, distributed
computing, algorithm development.
-- Strong background in one or more of: Relational and no-SQL databases, sequencing data
visualization tool development.

Desired Qualifications:
-- Advanced degree in Computer Science, Computational Physics/Biology, Bioinformatics or
related.
-- Knowledge of general principles for regulatory compliance.
-- Experience working in academic environments.

How to Apply

If interested in being considered for this role, applicants may apply directly for the position at http://stanfordcareers.stanford.edu/job-search?jobId=63762

Alternatively, applicants may send a cover letter and resume to Jan Dong at [email protected]

About Our Organization

The Stanford Center for Genomics and Personalized Medicine's (SCGPM) promise to translate Genomics into personalized medicine requires a combined focus of intellectual resources. The SCGPM is led by Stanford Professor and renowned genomicist Michael Snyder, Ph.D., and guided by a multidisciplinary executive committee of Stanford biomedical faculty that provides expertise in each of these essential areas. Stanford University attracts and retains leading researchers in the essential areas of genomic analysis, molecular assays, and computational approaches to medicine. The University is also home to the Pharmacogenomics Knowledgebase PharmGKB, a Master's Program in Genetic Counseling with focus on training students in personal genotype data as well as genetics, and intellectual law resources equipped to help researchers and students examine and address doctor obligation to patients.

A research duo finds that science and technology graduate students who turn away from academic careers do so because of changes in their own interests.

Students whose classmates are interested in science are more likely to think about a career in science, technology, engineering, and mathematics, a new study says.

CNBC reports that the genetic counseling field is expected to grow as personalized medicine becomes more common.

Gladys Kong writes at Fortune that her STEM background has helped her as a CEO.