Computational Biologist

The R. Ken Coit College of Pharmacy, dedicated to educating leaders in pharmacy and its foundation sciences to create and disseminate new knowledge, and enhance the health and wellness of the people of Arizona, the nation, and beyond.

This position is directed at support of bioinformatic and health informatic analysis needs of the Karnes pharmacogenomics laboratory. This individual would utilize repositories of genomic and electronic medical records data (All of Us, UK Biobank, TOPMED) to make new discoveries and advance several active NIH funded projects. Candidates should have excellent computational and data analysis experience.

Candidates working anywhere in the U.S. may be considered for a remote assignment. If you are
selected for this position and are employed to work remotely from outside of Arizona, your overtime exemption status will depend on the laws of the state where you perform your work. For employees working outside of Arizona, you may be hired as an hourly employee in accordance with state laws. A comparable hourly rate range would be: $31.59 - $41.06. These changes would not affect the position duties as outlined.

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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• Develop, train and manage statistical data analysis.
• Analysis using All of Us Research program data.
• Analysis of RNAseq, proteomic, and multi-omic data.
• Analysis of short and long read WGS data.
• GWAS and PheWAS analyses.
• Analysis of electronic medical records and survey data.
• Assist in grant, progress report, and manuscript editing and writing with primary responsibility for planning and designing statistical data for proposals, reports, and manuscripts.
• Design and preparation of high quality figures and tables.
• Design and conduct research projects.
• Advise and assist in determining statistical methods and analysis for research projects.
• Analyze research results and help determine next steps.
• Help train undergraduate and graduate students in the lab on biostatistical skills.
• Assist in routine laboratory management and maintaining lab equipment.

Knowledge, Skills and Abilities:

• Basic knowledge of genetics and biology.
• Demonstrated ability to work collaboratively in a team-based environment to support advanced scientific research.

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.

• Master's degree in statistics, computer science, bioinformatics, or related discipline.
• Minimum of 3 years of relevant work experience, or equivalent combination of education and work experience.

• Experience in Unix, R, Python programming languages.