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. Will consider remote or hybrid schedule for this position.

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

The University of Arizona has been recognized for our innovative work-life programs.

Duties and Responsibilities:

• Develop, train and manage statistical data analysis
• Analysis of RNAseq data
• Analysis of short and long read WGS data
• DNA methylation analysis
• GWAS and PheWAS analyses
• Analysis of electronic medical records data
• Analysis using All of Us Research program 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.

Job Type: Full-time

Pay: $54,853.00 - $70,732.00 per year

Benefits:

• 401(k)
• 401(k) matching
• Dental insurance
• Employee assistance program
• Employee discount
• Flexible schedule
• Flexible spending account
• Health insurance
• Health savings account
• Life insurance
• Paid time off
• Parental leave
• Professional development assistance
• Referral program
• Relocation assistance
• Retirement plan
• Tuition reimbursement
• Vision insurance

Schedule:

• Monday to Friday

Ability to commute/relocate:

• Tucson, AZ 85719: Reliably commute or planning to relocate before starting work (Required)

Experience:

• Bioinformatics (Preferred)
• Linux (Preferred)
• R (Preferred)
• Python (Preferred)

Work Location: Hybrid remote in Tucson, AZ 85719