Bioinformatics Analyst for Microbiology & Immunology fully funded on the INBRE grant.

Duties:

• Responsible for providing bioinformatics support for research projects, constructing and maintaining databases, and writing programs.
• Assists researchers by collecting data, keeping records, conducting literature and technical research, analyzing data, preparing reports, and working with other bioinformatics support personnel.
• Assists with experimental design and interpretation of results.
• Analyzes sequencing and proteomic data by importing, examining, and running statistical analyses and modeling algorithms.
• Analyzes data from a variety of experiments and platforms. Interprets, draws conclusions, and discusses results with principal investigator. Develops and maintains relational databases for high throughput data archiving and analysis.
• Assists with data deposition to public databases.
• Provides user training and assistance to researchers for various bioinformatics software analysis packages and users who wish to incorporate this expertise into their own laboratory.
• Responds to enduser problems and requests relating to genome proteome data.
• Installs software packages related to bioinformatics.
• Continues to stay abreast of changing technologies, programming language developments, and new product items to support and enhance job performance.
• Performs various duties as needed to successfully fulfill the function of the position.

Education: Bachelor's Degree in a Biological Science, e.g., Biology, Neurology, Biochemistry, Microbiology with a computational focus or a Bachelors Degree in computer science with a biological focus.

Experience: No experience required.

Skills:

• Knowledge of cell, molecular biology, and bioinformatics including but not limited to genome sequencing and protein analysis, and analysis of Next Generation Sequencing data (e.g., RNAseq, ChIPseq, exome sequencing).
• Knowledge of Unix, Linux, and Windows operating systems.
• Knowledge of MySQL databases and scripting languages such as Python, PHP, Java and Perl.
• Knowledge of genomic and or proteomic data analyses, computer programming, database design and maintenance.
• Working knowledge of statistical analysis in a research environment.
• Ability to communicate verbally and in writing.
• Ability to work independently and as a team member.

Working Conditions:

• Physical: Sitting for prolonged periods. Manual Dexterity. Speaking, listening, reaching and bending.
• Environmental: Standard Office Environment.

Diversity Statement: The University of Oklahoma is committed to achieving a diverse, equitable, and inclusive university community by recognizing each person's unique contributions, background, and perspectives. The University of Oklahoma strives to cultivate a sense of belonging and emotional support for all, recognizing that fostering an inclusive environment for all is vital in the pursuit of academic and inclusive excellence in all aspects of our institutional mission.

Equal Employment Opportunity Statement: The University of Oklahoma, in compliance with all applicable federal and state laws and regulations, does not discriminate based on race, color, national origin, sex, sexual orientation, genetic information, gender identity, gender expression, age, religion, disability, political beliefs, or status as a veteran in any of its policies, practices, or procedures. This includes, but is not limited to, admissions, employment, financial aid, housing, services in educational programs or activities, and health care services that the University operates or provides.