Associate Bioinformatics Scientist

Providence • Seattle, WA

39d

About The Position

We are seeking an Associate Bioinformatics Scientist who will be responsible for providing comprehensive bioinformatics support for the analysis and interpretation of advanced, high throughput molecular, genomic and clinical data types including gene expression, imaging, electronic medical records, etc. The Associate Bioinformatics Scientist will develop and apply bioinformatics methods and software tools for analysis and integration with clinical information and perform tasks to reduce and consolidate data output to help interpret and prioritize findings for numerous immuno-oncology focused projects. Providence Swedish caregivers are not simply valued – they’re invaluable. Join our team at Swedish Research and thrive in our culture of patient-focused, whole-person care built on understanding, commitment, and mutual respect. Your voice matters here, because we know that to inspire and retain the best people, we must empower them.

Requirements

• Bachelor's Degree in Bioinformatics, Computational Biology, Computer Science, Engineering, or Biology
• Master's Degree in Bioinformatics, Computational Biology, Computer Science, Engineering, or Biology --or-- 5 years of equivalent professional experience in lieu of Master's Degree
• 2 years of experience related to bioinformatics work in a clinical laboratory or experience in academia, biotechnology, or other healthcare field (preferably involving next generation sequence data analysis)
• Significant computational experience
• First-hand experience in clinical informatics and/or NGS analysis and methods as well as the computing infrastructure and data management methods
• First-hand multi-parametric data mining experience on expression, copy number and profiling datasets for target identification and biomarker discovery. For example, multivariate analysis; dimensionality reduction methods; parametric and non-parametric statistical methods; Bayesian statistics; pattern recognition or classification methods.
• First-hand experience at integrating publicly or commercially available genetic, genomic, and interaction datasets with novel experimental data to identify testable hypotheses
• Proven experience and success in a team-oriented environment
• Proven success in independent effort and delivering high quality data with biological relevance in a team environment

Nice To Haves

• Experience with the following:
• Clinical data analysis/Large dataset analysis in R
• Analyzing next generation sequencing data (DNA-seq, RNA-seq, etc.)
• Commonly used database and bioinformatics tools for NGS data analysis (e.g.) bedtools, SAMtools, IGV, ANNOVAR, Bowtie, GATK, ChimeraScan, UCSC Genome Browser, Galaxy, SoftGenetics, CLC bio, TopHat, etc.)
• Web framework (e.g. Django, Sinatra, Rails or others)
• HTML/CSS, Javascript and SQL on NoSQL databases

Responsibilities

• providing comprehensive bioinformatics support for the analysis and interpretation of advanced, high throughput molecular, genomic and clinical data types including gene expression, imaging, electronic medical records, etc.
• develop and apply bioinformatics methods and software tools for analysis and integration with clinical information
• perform tasks to reduce and consolidate data output to help interpret and prioritize findings for numerous immuno-oncology focused projects

Benefits

• Our best-in-class benefits are uniquely designed to support you and your family in staying well, growing professionally and achieving financial security.
• We take care of you, so you can focus on delivering our mission of improving the health and wellbeing of each patient we serve.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees