The Navin Laboratory at MD Anderson Cancer Center is a cancer genomics and computational biology research lab. Our laboratory has pioneered the development of single cell sequencing technologies. We apply these tools to study complex biological processes that occur in human cancers including transformation, clonal evolution, invasion, metastasis and chemoresistance evolution. These processes have previously been difficult to study with genomic technologies using bulk tissues.The ideal candidate will have experience with programming/scripting languages such as R, Python and Perl. Additionally, Linux server administration and data management experience are preferred.
https://www.mdanderson.org/research/departments-labs-institutes/labs/navin-laboratory.html Key Functions
- Performs data pre-processing of single cell DNA, RNA and epigenomic datasets
- Performs clustering, high-dimensional and annotation analysis of datasets.
- Maintains records of next-generation sequencing data that is generated by the core
- Transfers processed data to users and communicates back results
- Meets with collaborators to discuss projects and communicate data results
- Organizes data on laboratory servers
- Advises and assists users and other personnel in analyzing, defining and resolving analysis issues
- Other duties as assigned
Required: Bachelor's degree in Biomedical Engineering, Electrical Engineering, Physics, Applied Mathematics or related field.
Preferred: Master's degree or PhD with a concentration in Science, Engineering or related field.Experience
Required: Five years experience in scientific software development/analysis. With preferred degree three years experience required.
Preferred: Experience with R, Python, Perl, Linux server administration and data management.
It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html