Associate Bioinformatics Scientist

Associate Bioinformatics Scientist

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.

• 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

• 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, Chimera Scan, UCSC Genome Browser, Galaxy, Soft Genetics, CLC bio, Top Hat, etc.)
• Web framework (e.g. Django, Sinatra, Rails or others)
• HTML/CSS, Java script and SQL on No
  
  SQL databases

Requisition : 407688

Company: Swedish Jobs

Job Category: Research

Job Function: Clinical Support

Job Schedule: Full time

Job Shift: Day

Career Track: Clinical Professional

Department: 3909 SRE ADMINISTRATION

Address: WA Seattle 1124 Columbia St

Work Location: Swedish First Hill 1124 Columbia-Seattle

Workplace Type: Hybrid

Pay Range: $39.45 - $61.24

Providence is proud to be an Equal Opportunity Employer. We are committed to the principle that every workforce member has the right to work in surroundings that are free from all forms of unlawful discrimination and harassment on the basis of race, color, gender, disability, veteran, military status, religion, age, creed, national origin, sexual identity or expression, sexual orientation, marital status, genetic information, or any other basis prohibited by local, state, or federal law.

We believe diversity makes us stronger, so we are dedicated to shaping an inclusive workforce, learning from each other, and creating equal opportunities for advancement.