Research Scientist – Bioinformatics Analyst

University of Colorado•Aurora, CO

3d•$88,000 - $109,000•Hybrid

About The Position

The Center for Cancer and Blood Disorders (CCBD) at the University of Colorado/Anschutz Medical Campus is seeking a highly motivated, enthusiastic individual to manage and analyze data generated by Next-Generation DNA sequencers in conjunction with the experiments performed by our faculty. This is a great opportunity to quickly acquire new skills, develop and publish new tools and methods, analyze challenging datasets and be a co-author on multiple published studies.

Requirements

Graduation from an accredited university with a Masters in Computational Biology, System Biology, Computer Science or related field
Minimum of 3 years of programming language experience with Python, R, Java, Go, Bash, SQL, MySQL
Minimum of 3 years of tools and library experience with Git, Linux, Scikit-Learn, Numpy, Pandas, Samtools, Bedtools, Bowtie2, STAR, Nextflow, Snakemake
Must be willing and able to pass a national criminal background check

Nice To Haves

Graduation from an accredited university with a PhD in Computational Biology, System Biology, Computer Science or related field
Prior experience with brain cancer disease models
Experience with stem cell biology and relevant assays (flow cytometric analysis and flow sorting of stem or progenitor population)
Prior experience in chromatin biology
Ability to function autonomously but exercise sound judgment in seeking appropriate supervision
Skilled in communicating effectively and facilitating group processes
Ability to establish and maintain effective working relationships with researchers, and other team members
Comply with all standard operating procedures and quality control systems per the University of Colorado policy
Knowledge of Computational Biology programming languages, tools and libraries
Demonstrates the proficiency in computer software, equipment operation, and research technical skills

Responsibilities

Work with emerging approaches for analyzing multi-omics data analysis and integration (15%25)
Perform robust data quality control and validation (15%25)
Analyze various types of sequencing data analysis (e.g. single cell sequencing, RNA-seq, ChIP-seq, ATAC-seq, Hi-C-seq, bisulfite sequencing, whole-genome sequencing) (15%25)
Work closely with bench scientists to understand and help accomplish their research goals (12%25)
Integrate different types of genomics data and prepare concise presentations of computational results (12%25)
Design, implement, execute standard pipelines for routine genomics data analyses, and customized pipelines for collaborative research projects (11%25)
Perform robust data quality control and validation (10%25)
Perform other duties (such as meta-analyses of existing GEO deposited and other data sets) as assigned by faculty collaborators (10%25)