Career Center

Major job functions for this position include the following

1) 65% Analyze genomic datasets

• Processing of sequence data from Illumina, Pacific Biosciences, and Oxford Nanopore instruments

• Investigating data quality issues

• Analysis of single-cell and spatial datasets

• Meet with customers to assist with experimental design, troubleshooting, and results interpretation

2) 20% Assist the Development and Research groups with improving services, developing new services, analysis and interpretation of research project datasets

• Analyze datasets to assist with optimizing laboratory methods.

• Serve as the primary bioinformatics resource for the Genomics Center's Innovation Lab

3) 15% Assist with the maintenance and development of the Genomics Center's informatics infrastructure

• Assist with data management

• Assist with analysis pipeline development

• Assist with computer system management

• Remain up to date on developments in the field

Required Qualifications: Advanced degree with at least 6 years of experience or terminal degree plus at least 3 years of experience.

- Experience developing and executing analysis workflows for high-throughput sequence data.

- Proficiency using bioinformatics software tools in a Unix computing environment.

- Strong programming skills.

- Excellent oral and written English communication and interpersonal skills.

- Critical and independent thinking.

Preferred Qualifications: Doctorate in computational or biological science field plus least 3 years of bioinformatics experience.

• Experience working with datasets from a wide range of sequencing technologies, including sequencing platforms (Illumina, PacBio, IonTorrent) and library preparation methods (barcoding, multiplexing/demultiplexing, UMIs).

• Extensive experience providing bioinformatics support to research groups, advising on experimental design, platform selection, and troubleshooting data quality issues.

• Extensive experience working in a Linux computing environment (software and library installation, resource management, data management, high-performance computing environments).

• Strong programming and scripting skills.

• Experience with graphing libraries and databases.

• Experience developing analysis pipelines and automating data analysis.

• Strong troubleshooting skills.

• Familiarity with molecular biology lab techniques.

• Ability to independently develop expertise with new platforms, technologies, and data types.

• Experience with single-cell and spatial genomics platforms and methodology.