Scientific Analyst II (Part-Time)

Dr. Travis Wheeler's lab at the R. Ken Coit College of Pharmacy invites applicants to apply for the position of Scientific Analyst II. Make an impact in genomic research while developing specialized skills in bioinformatics and data analysis. The selected candidate will support efforts to identify, classify, and curate repetitive genomic sequences across diverse genomes. The role involves the use of specialized bioinformatics software along with manual validation of results. Contribute to meaningful research in a collaborative environment dedicated to scientific innovation.

This is a part-time position that will be done remote in California.

Visa sponsorship is not available for this position.

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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• Perform genome-scale identification and classification of transposable element (TE) families across target eukaryotic genomes.
• Apply knowledge of TE biology and classification systems to ensure accuracy and completeness.
• Manually validate computational results, resolve ambiguous classifications, and integrate findings with established TE ontologies (e.g., Repbase, Dfam) and community libraries.
• Interact with internal and external collaborators on TE annotation and genomics projects.

Knowledge, Skills, and Abilities:

• Skilled in analyzing and classifying transposable elements.

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 or equivalent advanced learning attained through professional level experience required.
• Minimum of 3 years of relevant work experience, or equivalent combination of education and work experience.