Bioinformatician, Data Analyst (Part Time)

The successful candidate will be proficient in executing software and commands via the command line, will have worked with long and short-read sequencing data, and must have a deep understanding of eukaryotic genetics and genomics. The candidate will interact with a variety of colleagues, collaborators, and customers. A high degree of initiative, resourcefulness, and professionalism are necessary.

Outstanding U of A benefits include health, dental, and vision insurance plans; life insurance and disability programs; paid vacation, sick leave, and holidays; U of A/ASU/NAU tuition reduction for the employee and qualified family members; retirement plans; access to U of A recreation and cultural activities; and more!

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• Genome assembly and quality assessment.
• Using PacBio HiFi, ONT, and Hi-C data to generate eukaryotic genome assemblies, including manual curation. Will use established protocols for genome assemblies and manual curation.
• Execute available software (e.g. Hifiasm, Verkko, Merqury), statistical programs and custom-made scripts to generate highly accurate, complete, and phased assemblies.
• Genome annotation and variant detection.
• Execute established software (e.g. BRAKER, EDTA) to identify the main genome features (e.g. genes, repeats, transposable elements, and more).
• Genome alignments and comparison, variant calling, integration of other resources (e.g. transcriptome, optical maps) and similar analyses as the need may arise.
• Analyze novel and different datasets (e.g. 16S, transcriptome, resequencing) for project-specific goals (e.g. population genomics, demography, functional characterization), using established and original statistical methods and software as directed.
• Summarize work in reports, tables, and statistical sections of scientific manuscripts.
• Interact with colleagues and external partners to provide input and receive direction.
• Attend meetings, take notes, contribute to preparation of data summaries and sections for research proposals.

Knowledge, Skills & Abilities:

• Extended knowledge of genome sequencing technologies and handling the data.
• High proficiency of Unix command line, executing software, interpreting the output.
• Familiar with high-performance computing infrastructure.
• Able to critically evaluate the quality of the results and to perform novel analyses as required.
• Excellent technical writing skills, maintaining and sharing documentation, note taking, and reporting at different audiences.
• Excellent communication skills.

This job posting reflects the general nature and level of work expected of the selected candidate(s). It is not intended to be an exhaustive list of all duties and responsibilities. The institution reserves the right to amend or update this description as organizational priorities and institutional needs evolve.

• Bachelor's degree in genomics, (bio)informatics, or related discipline.
• Minimum of 3 years relevant work experience, with at least 1 year experience in genome assembly.

• Experience with plant genome analysis, evolutionary analyses, population genomics.