Pay Range: Targeted salary $33,600 - $43,700 annually, dependent on qualifications and experience
Benefits Eligible: Yes
Work Schedule: Monday – Friday, Standard/Fixed Schedule
Travel: Not required
Position Introduction:
The Department of Molecular Genetics and Genome Sciences is seeking a Staff Research Assistant to join Dr. Jun Li's computational biology group. The selected candidate will support genomics research projects involving single-cell and spatial profiling technologies, including RNA-seq, ATAC-seq, multiome, and spatial transcriptomics platforms. In this position, you will contribute to project-wide data management, sample tracking, data governance, and computational analysis activities while working closely with both experimental and quantitative scientists. The successful candidate will become part of a collaborative data science team that combines bioinformatics, biostatistics, coding, and data-management expertise to advance biomedical research. Preferred candidates will have experience working with biological datasets using R, Python, SQL, or related computational tools, and an interest in modern genomics and computational biology.
Required Education and Experience:
Equivalency/Substitution: Experience or a combination of education & related experience can be considered in lieu of degree. A one-to-one ratio is used to determine the number of years of experience required in place of a degree.
Hiring Contingent Upon a Background Check: Yes
Special Indications:
Position subject to renewal based on availability of funds.
Norman Campus: If you are selected as a finalist for a position that supports the Norman Campus, you will be subject to The University of Oklahoma Norman Campus Tuberculosis Testing policy.
Why You Belong at the University of Oklahoma: The University of Oklahoma values our community's unique talents, perspectives, and experiences. At OU, we aspire to harness our innovation, creativity, and collaboration for the advancement of people everywhere. You Belong Here!
Equal Employment Opportunity Statement: The University, in compliance with all applicable federal and state laws and regulations, does not discriminate on the basis of race, color, national origin, sex, sexual orientation, marital status, genetic information, gender identity/expression (consistent with applicable law), age (40 or older), 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, housing, financial aid, and educational services.
There are currently no jobs matching this criteria
We use cookies to give you a customized experience such as job recommendations and to analyze our traffic. Through the use of cookies, the University will know what’s working and what’s not. That information is then used to keep our content fresh and relevant to You the user. You consent to our cookies if you click “I Accept.” By clicking “I Accept” you agree to the use of the Privacy Policy , which includes the use of cookies. If you click on “I Do Not Accept,” then we will not use cookies, but you may have a deteriorated user experience. You can change your settings by click on the Settings link on the top right of the device.
These cookies are necessary for the website to function and cannot be switched off in our systems. They are usually only set in response to actions made by you which amount to a request for services, such as setting your privacy preferences, logging in or filling in forms. You can set your browser to block or alert you about these cookies, but some parts of the site will not then work.
These cookies allow us to count visits and traffic sources so we can measure and improve the performance of our site. They help us to know which pages are the most and least popular and see how visitors move around the site. If you do not allow these cookie we will not know when you have visited our site, and will not be able to monitor its performance.