DESCRIPTION

Benaroya Research Institute at Virginia Mason is committed to winning the fight against autoimmune diseases such as type 1 diabetes, rheumatoid arthritis, inflammatory bowel disease and multiple sclerosis, and immune system diseases such as allergies and asthma. BRI is an internationally recognized medical research institute that accelerates discovery by tackling questions from every angle, translating immunology breakthroughs into clinical therapies and healthier patients. Our research is dedicated to predicting, preventing, halting, treating and ultimately eliminating these lifelong, chronic diseases.

The Benaroya Research Institute currently has an opening for a Bioinformatician II-III position in the Systems Immunology Division. As a bioinformatician, you will have the chance to collaborate with other bioinformaticians and wet lab investigators to further autoimmune disease research through the analysis of RNA-seq, ATAC-seq, cytometry, clinical, and other data types. Members of our group work to extract biological signals from these data to answer fundamental questions related to immunology and immune-mediated diseases.

A successful candidate will have a strong background in statistics and biology, and excellent communications skills. You will present your findings to investigators and other research staff, with the opportunity to co-author papers on novel findings. You will also participate in experimental design, statistical power analyses, and analysis plans for publications and grant proposals throughout the institute.

Qualifications:
Bioinformatician II

M.S. or PhD in bioinformatics, statistics, or other science with a strong understanding of the principles of bioinformatics and 3 or more years of related experience. Or equivalent combination of education and/or experience in the above listed fields.

Bioinformatician III

M.S. or PhD in bioinformatics, statistics, or other science with a strong understanding of the principles of bioinformatics and 6 or more years of related work experience

Requirements:

Experience in the application of statistics to biological data. Some experience with RNA-seq or cytometry data is preferred.
Understanding of the basic principles of molecular biology and genetics
Experience in working with a variety of data types
Comfort in collaborating with a team of technical and non-technical investigators
Proficiency in R or Python programming for statistical analysis
Ability to communicate results verbally and in writing to a non-technical audience

More information on BRI here: https://www.benaroyaresearch.org.

More information on BRI bioinformatics here: https://www.benaroyaresearch.org/our-research/programs/systems-immunology-division/bioinformatics-department

DESCRIPTION

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