Bioinformatics Scientist - Computational Clinical Genomics | GenomeWeb

Bioinformatics Scientist - Computational Clinical Genomics

Institute for Systems Biology
Job Location
Seattle, WA
Job Description

The Institute for Systems Biology (ISB |, in collaboration with Inova Translational Medicine Institute (ITMI |, is seeking highly-qualified and highly-motivated bioinformatics scientists to work at the forefront of clinical genomics research. We will be integrating and analyzing a massive and ever-growing collection of genomics data and electronic medical records from tens of thousands of patients. Join our team and help to develop the large-scale translational analyses that will revolutionize the practice of medicine.

The successful candidate will join a diverse team of researchers that include computational biologists, clinicians, doctors and engineers. You will be responsible for designing, implementing, analyzing, and validating bioinformatics algorithms and software tools in support of project research objectives. You must be very comfortable working in a team environment, and possess strong interpersonal, written, and oral communication skills. Attention to detail, time management skills, and the ability to work independently with a high level of initiative are required.

Multiple positions are available within the Shmulevich ( and Hood groups ( at ISB. The applicant should include a resume and a brief (1 or 2 paragraph) statement summarizing her/his interests and experience in bioinformatics.


Required skills and experience (as demonstrated by your resume):

A Masters degree, or equivalent, in engineering or science

Direct experience working with scientific data within a scientific research environment

Direct experience with data exploration, processing, and analysis

Proficiency in scripting languages (e.g. Perl, Python, or Ruby), and scripting for unix-based operating systems

Experience with extracting, manipulating, and integrating data from public biological data repositories (e.g. NCBI, Ensembl, UCSC)

Proficiency with bioinformatics tools

Highly desirable skills and experience:

Experience with programming and analysis in environments such as MATLAB or R

Experience working with large-scale genomic data

Proficiency with statistical analysis and visualization of biological data

How to Apply

To apply, please visit the ISB website:

About Our Organization

About Institute for Systems Biology

ISB is a premier, nonprofit research organization located in the heart of Seattle’s emerging biotech sector in South Lake Union, in Seattle, WA. Established as a non-traditional, multidisciplinary environment, ISB was co-founded in 2000 by Dr. Leroy Hood, a world-renowned systems biologist who was recently awarded the National Medal of Science. ISB pioneered systems biology, which harnesses and integrates the respective insights of biologists, geneticists, computer scientists, chemists, engineers, mathematicians, immunologists and others to answer some of society's most challenging questions related to health and the environment.

ISB employee benefits include flexible work arrangements and schedules, generous vacation and sick time, a 403(b) with matching contributions, health and dental plans with 100% employee coverage, opportunities to attend and/or present at research conferences, and annual lab and Institute retreats.

ISB is an equal opportunity employer (M/F/veteran/disability/minority status).

About Inova Translational Medicine Institute

ITMI is Inova Health System’s ( initiative to bring personalized medicine to the world through exploring genomics and future health. It is leading the transformation of healthcare from a reactive to a predictive model using technological innovation, pioneering research, and sophisticated information management. The goal is to provide the right treatment for the right patient at the right time, and ultimately prevent disease in the first place. The long-term work of ITMI will enable Inova to successfully and quickly translate advances from genomics and the molecular sciences to patients, optimizing individual health and well-being.

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