Computational Scientist - Epigenetics and Molecular Carcinogensis (TCGA, ICGC)

Location
Houston, Texas
Salary
Competitive
Posted
October 14 2021
Ref
143735
Discipline
Health Sciences
Organization Type
Healthcare/Hospital
The mission of The University of Texas M. D. Anderson Cancer Center is to eliminate cancer in Texas, the nation, and the world through outstanding programs that integrate patient care, research and prevention, and through education for undergraduate and graduate students, trainees, professionals, employees and the public.

Epigenetics and Molecular Carcinogenesis

The Computation Scientist will analyze and develop algorithms and software for scientific problems. Apply and develop software tools to perform data analysis in cancer research. Impact scientific research projects in the Department of Epigenetics and Molecular Carcinogenesis.

KEY FUNCTIONS

Statistical Analysis
  • Compile, analyze and report statistical data for various projects including, but not limited to manual and computer-aided data abstraction and evaluation, computerized imaging and bioinformatics.
  • Assess relevant literature as well as existing data, evaluates the quality of data used in reports and assists with preparation and distribution of data for committee and scientific meetings.

Computational skills
  • With limited direction, develop and maintain software tools and infrastructure for resolving specific problems.
  • Perform gene expression data analysis/transcriptomics and genomic data analysis.
  • Perform analysis of cancer genome datasets such as TCGA, ICGC and dep map with an emphasis on translational research.
  • Responsible for the integration of large-scale bulk sequencing and single-cell sequencing multi-omic datasets.

Research Support
  • Contribute to the development of procedures and makes recommendations on new procedures.
  • Explore and learn new technologies relevant to lab research projects.
  • Advise and assist users and other personnel in analyzing, defining and resolving computer problems.
  • Collaborate with PIs and other research, computational, scientific or support staff to accomplish project focus or results.


Education

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 in cancer genome datasets such as TCGA, ICGC and dep map with interest in translational research is preferred. Familiarity with gene expression data analysis/transcriptomics and genomic data analysis.

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

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