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Research Computational Analyst - Genetics
Genetic alterations are known cancer drivers, but not all patients harbor sufficient driver mutations to elicit the onset and progression of the disease. There also exist cancers such as pediatric tumors and several liquid cancers that carry very few genetic alterations, highlighting the contribution of non-genetic alterations to tumor formation.
The Lee Laboratory seeks to elucidate how RNA aberrations impact the development and progression of cancer. We employ cutting-edge sequencing to uncover errors hiding in RNA and use multidisciplinary approaches including cell biology, biochemistry, molecular biology and protein biology to determine the pathogenic role of altered RNAs in malignant transformation. We hope to provide novel strategies for cancer diagnosis, prognosis, and therapeutic intervention.
Summary
The primary purpose of the Research Computational Analyst is to assist in the processing or analysis of data-related issues using existing algorithms and software for clinical, operational, and scientific problems for small scale projects within the Lee Lab.
Ideal candidate will have working experience in analyzing bulk or single cell RNA-seq data.
Key Functions
Under direct supervision, assists in data processing or analysis using existing algorithms.
Assists in the development of pipelines, algorithms and software.
Provides computational support on projects as needed.
Assists with bioinformatics analysis of bulk and single cell RNA-seq datasets.
Assists with Development of methods to provide bioinformatic and statistical support for research projects.
Organizes, maintains and documents data, algorithms and software.
Willing to learn and establish new methods that are required for lab research.
Other Skills
Knowledge of biology, gene expression
Excellent communication skills and team-working attitude
Other duties as assigned
EDUCATION
Required: Bachelor's Degree Biology, Biochemistry, Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Statistics, Computer Science, Computational Biology, Biostatistics, Bioinformatics, Data Science, Genome Science or related field.
EXPERIENCE
Required: None Required
Preferred: Experience in bioinformatics tools used in biology research. Experience in scripting and programming languages such as python, R, PERL, Unix. RNAseq analysis experience is a plus.
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
