MD Anderson Cancer Center
Associate Bioinformatics Data Scientist
MD Anderson Cancer Center, Houston, Texas, United States, 77246
Summary
The University of Texas MD Anderson Cancer Center in Houston is one of the world's most respected centers focused on cancer patient care, research, education and prevention. It was named the nation's No. 1 hospital for cancer care in U.S. News & World Report's 2022-2023 rankings. It is one of the nation's original three comprehensive cancer centers designated by the National Cancer Institute.
The
Genetics Department
is a basic science department located in the George and Cynthia Mitchell Basic Sciences Research Building at the world-renowned University of Texas MD Anderson Cancer Center in the heart of the Texas Medical Center. The focus is on advancing knowledge of the molecular genetic mechanisms that regulate normal and abnormal cellular processes.
The primary purpose of the
Associate Data Scientist
position is to provide bioinformatics analysis of next generation sequencing (NGS) data for faculty across the institution, to process NGS data for
Advanced Technology Genomics Core
facility, to perform quality control (QC) analysis and to maintain QC metrics and sample records of NGS experiments on the servers, and to meet with faculty to review data analysis results. This position impacts cancer research projects by developing/maintaining programs and applications tailored to meet research objectives and makes them available to the wider cancer research community.
The Ideal Candidate Will Have Working Experience In
Analyzing genomic and epigenomic data.Proficiency in at least one programming language such as R, Python, or PERL.Experience in NGS data analysis (expression profiling, mutations and structural variations, and differential peak analysis), data integration, and data mining.Key Functions
Performs bioinformatics analysis of bulk RNA-Seq and scRNA-Seq datasets in terms of gene expression profiling analysis.Performs bioinformatics analysis of DNA-Seq and scDNA-Seq in terms of detection of both mutations and structural variations.Performs bioinformatics analysis of ChIP-Seq, ATAC-Seq, and scATAC-Seq datasets in terms of genome wide profiling of histone modifications and chromosome accessibility.Develop software pipelines to perform standard NGS data analysis routine in an automated fashion.Perform quality control (QC) analysis on NGS data, and maintain QC metrics and sample records of NGS experiments on the servers.Work with bioinformatics faculty, IT personnel, and other researchers to respond to new technologies.Other Skills
Expertise in programming languages such as Python, PERL, or R.Expertise in linux/unix based environments.Excellent communication skills and team-working attitude will be essential.Other duties as assigned.EDUCATION
Required: Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Statistics, Computer Science, Computational Biology, or related field.
Experience
Required: Two years of experience in scientific software development/analysis.
Preferred
Analyzing genomic and epigenomic data.Proficiency in at least one programming language such as R, Python, or PERL.Experience in NGS data analysis (expression profiling, mutations and structural variations, and differential peak analysis), data integration, and data mining.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.Additional Information
Requisition ID: 163498Employment Status: Full-TimeEmployee Status: RegularWork Week: DaysMinimum Salary: US Dollar (USD) 75,000Midpoint Salary: US Dollar (USD) 94,000Maximum Salary: US Dollar (USD) 113,000FLSA: exempt and not eligible for overtime payFund Type: SoftWork Location: OnsitePivotal Position: YesReferral Bonus Available?: NoRelocation Assistance Available?: YesScience Jobs: Yes
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The University of Texas MD Anderson Cancer Center in Houston is one of the world's most respected centers focused on cancer patient care, research, education and prevention. It was named the nation's No. 1 hospital for cancer care in U.S. News & World Report's 2022-2023 rankings. It is one of the nation's original three comprehensive cancer centers designated by the National Cancer Institute.
The
Genetics Department
is a basic science department located in the George and Cynthia Mitchell Basic Sciences Research Building at the world-renowned University of Texas MD Anderson Cancer Center in the heart of the Texas Medical Center. The focus is on advancing knowledge of the molecular genetic mechanisms that regulate normal and abnormal cellular processes.
The primary purpose of the
Associate Data Scientist
position is to provide bioinformatics analysis of next generation sequencing (NGS) data for faculty across the institution, to process NGS data for
Advanced Technology Genomics Core
facility, to perform quality control (QC) analysis and to maintain QC metrics and sample records of NGS experiments on the servers, and to meet with faculty to review data analysis results. This position impacts cancer research projects by developing/maintaining programs and applications tailored to meet research objectives and makes them available to the wider cancer research community.
The Ideal Candidate Will Have Working Experience In
Analyzing genomic and epigenomic data.Proficiency in at least one programming language such as R, Python, or PERL.Experience in NGS data analysis (expression profiling, mutations and structural variations, and differential peak analysis), data integration, and data mining.Key Functions
Performs bioinformatics analysis of bulk RNA-Seq and scRNA-Seq datasets in terms of gene expression profiling analysis.Performs bioinformatics analysis of DNA-Seq and scDNA-Seq in terms of detection of both mutations and structural variations.Performs bioinformatics analysis of ChIP-Seq, ATAC-Seq, and scATAC-Seq datasets in terms of genome wide profiling of histone modifications and chromosome accessibility.Develop software pipelines to perform standard NGS data analysis routine in an automated fashion.Perform quality control (QC) analysis on NGS data, and maintain QC metrics and sample records of NGS experiments on the servers.Work with bioinformatics faculty, IT personnel, and other researchers to respond to new technologies.Other Skills
Expertise in programming languages such as Python, PERL, or R.Expertise in linux/unix based environments.Excellent communication skills and team-working attitude will be essential.Other duties as assigned.EDUCATION
Required: Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Statistics, Computer Science, Computational Biology, or related field.
Experience
Required: Two years of experience in scientific software development/analysis.
Preferred
Analyzing genomic and epigenomic data.Proficiency in at least one programming language such as R, Python, or PERL.Experience in NGS data analysis (expression profiling, mutations and structural variations, and differential peak analysis), data integration, and data mining.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.Additional Information
Requisition ID: 163498Employment Status: Full-TimeEmployee Status: RegularWork Week: DaysMinimum Salary: US Dollar (USD) 75,000Midpoint Salary: US Dollar (USD) 94,000Maximum Salary: US Dollar (USD) 113,000FLSA: exempt and not eligible for overtime payFund Type: SoftWork Location: OnsitePivotal Position: YesReferral Bonus Available?: NoRelocation Assistance Available?: YesScience Jobs: Yes
#J-18808-Ljbffr