Data Analyst

Stanford University, School of Medicine - Department of Genetics
Job Location
Palo Alto, CA

Full medical, dental, vision + worklife

Job Description

Stanford Center for Genomics and Personalized Medicine, situated in the heart of SF Bay Area, has an excellent opportunity available for a motivated Data Analyst to provide bioinformatics analysis support for a large scale research collaboration project with VA. This position is a customer-facing technical role that involves working alongside a small team of professionals, which include Ph.D. scientists and engineers, to process next-generation sequencing DNA-Seq data. Your collaborators will include high profile research labs from across Stanford and other international Universities and professional organizations. It is a dynamic and professional work environment with immense learning and growth potential.

The successful candidate will have in-depth knowledge of high-throughput sequencing technologies, experience with large genomic data sets, and their computational analysis in order to successfully understand these data. Excellent communication skills are critical. Computational fluency in a Linux environment is essential. The successful candidate must be able to learn to work independently, yet collaborate effectively with co-workers. The individual must be able to quickly grasp the objectives of research projects, and assemble solutions from a range of technologies, standards and approaches. What is perhaps most important is an innate desire to learn new methods and technologies and adapt to demands of fast paced research. Previous experience working in an academic environment is a plus. The successful candidate will comply with University and government health and safety regulations and policies.


Candidate is expected to analyze and troubleshoot poor quality data arising from biological issues or analysis artifacts, propose methods to streamline data analysis, provide curation for genomics data and implement new tools for data analysis and management.


-- Four-year degree in Biology, Computational Biology, Bioinformatics or related field and one
year of related experience.
-- Technical expertise in genetics, molecular biology, or bioinformatics.
-- Experience with next-generation sequencing platforms and their data types.
-- Strong experience with data quality assessment.
-- Excellent verbal and written communication skills.
-- Expertise working in a Linux high performance computing environment.
-- Strong experience with computer programming (scripting). Able to develop data analysis
programs in Perl, Python and R.

Desired Qualifications:

-- Advanced degree in Biology, Computational Biology, Bioinformatics or related.
-- Experience working in academic environments.

How to Apply

If interested in being considered for this role, applicants may apply directly for the position at

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.

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