The primary function of the Computational Scientist is to provide analysis and develop algorithms and software for clinical and scientific problems solved by multi-omic integrative approaches. KEY FUNCTIONS Data Management:
- Develop/modify/create pipelines for interpreting data from single-cell (and/or bulk data) experiments from publicly available and locally developed tools.
- Develop and maintain software tools and infrastructure for resolving specific problems.
- Ensure data organization.
- Independently design computational experiments, analysis approach and results interpretation.
- Analyze high-dimensional data from high-throughput profiling technologies (bulk and single cell) such as whole exome sequencing and a range of single cell approaches (e.g. RNA/TCR/ATAC/CITE-seq).
- Remain up-to-date on immunogenomic tools.
- Advise and assist users and other personnel in analyzing, defining and resolving computer problems.
- Assist in the development, testing and revision of programs.
- Assist in applying advanced statistical methods, simulation models, and skilled programming as needed.
- Prioritize and manage multiple projects in a timely and resource-effective manner.
- Report research findings (oral and written) at internal, local and national meetings.
- Independently lead computational projects, contribute to written grants and manuscripts.
- Impact clinical and scientific research projects by designing complex technical programs and applications tailored to define leukemic and immune co-evolutionary states (for example) that influence patient outcomes.
- Analyze, develop and assist others in the development of formalisms, algorithms and software for complex applications, especially regarding intercellular interactions in silico.
Other duties as assigned.
Bachelor's degree in Biomedical Engineering, Electrical Engineering, Physics, Applied Mathematics or related field. Education preferred: Master's degree or PhD with a concentration in Computational Biology, Engineering or related field. Five years experience in scientific software development/analysis. With preferred degree three years experience required. Preferred experience: Proficiency in scripting/statiscial computing. Experience manipulating datasets/high performance computing. Familiarity with data normalization/analysis of batch effects. Development of statistical algorithims and comprehensive assessments for analysis. Collaboration with bench biologists, next-generation sequencing analytics, pathway/network analysis, and transcriptional regulator networks. 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