Research - Oncology

Scheduled Hours

40

Cancer genomes present an interesting and exciting challenge to address how novel and recurrent somatic changes impact the development and progression of malignancy. The Gomez lab is focused on the analysis of high throughput genomic data and the application of bioinformatic techniques with the goal of improving cancer care and developing personalized medicine techniques. Additionally, the Gomez lab has a particular focus on increasing the application of genomic tools and technologies to populations that are currently underrepresented in biomedicine.

We firmly believe that everyone should benefit from the advances of precision medicine. We are dedicated to supporting equity in the application of medicine that is guided by advanced genomic technologies.

Our research projects have the potential to cover a wide range of topics. Currently, we are working on questions related to the etiology of blood cancers - specifically lymphoma and multiple myeloma. In our current projects, we are applying single cell genetic tools to describe the transcriptomic landscape of Hodgkin lymphoma. We are also interested in the application of spatially resolved transcriptomic data to our Hodgkin lymphoma projects.

Applicants with experience or interest in this sort of data are encouraged to apply.

We are also using single cell sequencing technologies to understand the biological factors that contribute to the health disparities that are associated with African Americans and multiple myeloma.

We are committed to training all interested students and staff to use computational approaches to address the biological questions our lab is focused on. We are equally interested in trainees and staff with biology-focused or computer science-focused backgrounds. If you are interested in studying cancer and would like to address equity issues in cancer genomics, we would love to hear from you.

For additional information about the PI please see the faculty web page of Felicia Gomez, PhD: (Use the "Apply for this Job" box below). For information on the lab please visit: .

This position works in a laboratory environment with potential exposure to biological and chemical hazards. The individual must be physically able to wear protective equipment and to provide standard care to research animals. Positions in this lab are 100% dry with the possibility of remote work. All lab members will be given a cubicle on campus and will have the opportunity to interact with members of other computational labs.

Base pay is commensurate with experience.

The above statements are intended to describe the general nature and level of work performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all job duties performed by the personnel so classified. Management reserves the right to revise or amend duties at any time.

• Education: Bachelor’s degree or combination of education and/or experience may substitute for minimum education.
• Certifications / Professional Licenses: No specific certification/professional license is required for this position.
• Work Experience: No specific work experience is required for this position.
• Skills: Not Applicable.
• Driver’s License: A driver’s license is not required for this position.

• Education: No additional education unless stated elsewhere in the job posting.
• Certifications / Professional Licenses: No additional certification/professional licenses unless stated elsewhere in the job posting.
• Work Experience: No additional work experience unless stated elsewhere in the job posting.
• Skills: Cloud Computing, Communication, Data Analysis, Data Visualization, Laboratory Research, Organizing, Recordkeeping, Sequencing Data Analysis, Statistics, Teamwork, Working Independently.

Candidates with additional education and experience are encouraged to apply.

If you are unable to use our online application system and would like an accommodation, please email Candidate…