Job Description:
The ClinOmics Program, a joint venture between the Genetics Branch and the Laboratory of Pathology, was launched by senior leadership of the Center for Cancer Research (National Cancer Institute) to establish a comprehensive translational genomics platform to enable precision therapy trials for adult and pediatric cancer patients at the NIH Clinical Center. The ClinOmics program is seeking to recruit a Bioinformatics Analyst. The Bioinformatics Analyst shall: -Working with existing bioinformatics team establish an Exome Sequencing analysis pipeline for patients enrolled on clinomics protocol for both germ line and somatic genomics alterations -Working with existing bioinformatics team establish a panel sequencing analysis pipeline for patients enrolled on clinomics protocol for somatic genomics alterations -Working with existing bioinformatics, clinical, clinomics team and domain experts produce a list of high confidence somatic and germ line mutations that should be reported -Generate a list of these reportable alterations for both germ line and somatic mutations for each individual patient enrolled -Generate a list of high confidence germ line and somatic mutations in actionable genes but are considered mutations of unknown significance -Working with existing bioinformatics team establish a rnaseq analysis pipeline for patients enrolled on clinomics protocol -Generate gene, transcript, exon level expression and Tophat and Defuse fusion gene reports from rnaseq data -Working with existing bioinformatics team establish a SNP analysis pipeline, tumor and normal for patients enrolled on clinomics protocol -Working with existing bioinformatics team establish a methylation array analysis pipeline of tumor for patients enrolled on clinomics protocol -Ensure data is uploaded onto databases -Write and regularly update standard operating procedures (SOP) for data analysis form Illumina Exome, Illumina transcriptome, Illumina SNP array, Illumina methylation arrays, and NCI clinomics gene panel assay -Ensure Exome, Panel results are given to the germ line and somatic reporting panels in a timely manner (within 3 days of data analysis competition) -Ensure all raw data is backed up and produce a confirmatory report for every patient -Update the list of incidental findings to report on a semi-annual basis and maintain a database for this -Update this list of actionable somatic mutations that are actionable on a quarterly basis, and maintain a database -Monitor data flow for every patient enrolled on the clinomics protocol -Ensure that data analysis is launched and completed in a timely manner for every patient on ClinOmics protocol -Work with bioinformatics team to ensure data generated is processed through a standard pipeline -Work with bioinformatics team to identify and implement optimal computing hardware configuration -Schedule and attend weekly bioinformatics core meetings to report progress -Help in the generation of a standard report for actionable changes in each of the assays including exome, transcriptome, copy number, snps, and methylation -Modify existing methods for integrating exome, transcriptome, copy number, and methylation arrays -Give weekly report to project principal investigators -Ensure timeline for sample acquisition to genomic report is 4 weeks -Monitor overall process throughput to identify bottlenecks and improve efficiency -Work collaboratively with team members, especially in ensuring seamless hand-over of responsibilities when planning to be away Qualifications: BASIC QUALIFICATIONS: To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below: -Possession of a Bachelor’s degree (Master’s preferred) in Computational Biology, Biostatistics, Bioinformatics or a related field degree from an accredited college or university according to the Council for Higher Education Accreditation. (Additional qualifying experience may be substituted for the required education). -A minimum of five (5) years of progressively responsible relevant experience -Deep understanding of and expertise in the mathematical/statistical principles underlying the analysis of large-scale data -Ability to understand and analyze data from complex experimental designs -Demonstrated ability to perform integrative analyses and predictive modeling -Proficiency in at least two of the following programming languages: Perl, Python, R, Java and C/C++ -Experience in at least three of the following areas: metagenomics, ChIPSeq, RNASeq, ExomeSeq, DHS-Seq, microarray data analysis -Ability to be organized and keep detailed and accurate documentation -Excellent communication skills as demonstrated by publications and presentations -Must be able to obtain and maintain a security clearance PREFERRED QUALIFICATIONS : Candidates with these desired skills will be given preferential consideration: -A solid understanding of biology, cancer and the molecular basis of human disease Expected Competencies: Programming in python; workflow development; data processing and analysis skills
Additional Info:
The Advanced Biomedical Computing Center (ABCC) is a part of the Data Science and Information Technology Program at Leidos Biomedical Research, Inc. The ABCC provides technology development, scientific consultation, collaboration and training, and high-performance computing support to the NCI and NIH scientists and staff. Leidos Overview: Leidos is a global science and technology solutions leader working to solve the world’s toughest challenges in the defense, intelligence, homeland security, civil, and health markets. The company’s 33,000 employees support vital missions for government and commercial customers. Headquartered in Reston, Virginia, Leidos reported pro forma annual revenues of approximately $10 billion for the fiscal year ended January 1, 2016 after giving effect to the recently completed combination of Leidos with Lockheed Martin's Information Systems & Global Solutions business (IS&GS). For more information, visit www.Leidos.com. The company’s diverse employees support vital missions for government and commercial customers. Qualified women, minorities, individuals with disabilities and protected veterans are encouraged to apply. Leidos will consider qualified applicants with criminal histories for employment in accordance with relevant Laws. Leidos is an Equal Opportunity Employer. [Click Here to Access the Original Job Post]
The ClinOmics Program, a joint venture between the Genetics Branch and the Laboratory of Pathology, was launched by senior leadership of the Center for Cancer Research (National Cancer Institute) to establish a comprehensive translational genomics platform to enable precision therapy trials for adult and pediatric cancer patients at the NIH Clinical Center. The ClinOmics program is seeking to recruit a Bioinformatics Analyst. The Bioinformatics Analyst shall: -Working with existing bioinformatics team establish an Exome Sequencing analysis pipeline for patients enrolled on clinomics protocol for both germ line and somatic genomics alterations -Working with existing bioinformatics team establish a panel sequencing analysis pipeline for patients enrolled on clinomics protocol for somatic genomics alterations -Working with existing bioinformatics, clinical, clinomics team and domain experts produce a list of high confidence somatic and germ line mutations that should be reported -Generate a list of these reportable alterations for both germ line and somatic mutations for each individual patient enrolled -Generate a list of high confidence germ line and somatic mutations in actionable genes but are considered mutations of unknown significance -Working with existing bioinformatics team establish a rnaseq analysis pipeline for patients enrolled on clinomics protocol -Generate gene, transcript, exon level expression and Tophat and Defuse fusion gene reports from rnaseq data -Working with existing bioinformatics team establish a SNP analysis pipeline, tumor and normal for patients enrolled on clinomics protocol -Working with existing bioinformatics team establish a methylation array analysis pipeline of tumor for patients enrolled on clinomics protocol -Ensure data is uploaded onto databases -Write and regularly update standard operating procedures (SOP) for data analysis form Illumina Exome, Illumina transcriptome, Illumina SNP array, Illumina methylation arrays, and NCI clinomics gene panel assay -Ensure Exome, Panel results are given to the germ line and somatic reporting panels in a timely manner (within 3 days of data analysis competition) -Ensure all raw data is backed up and produce a confirmatory report for every patient -Update the list of incidental findings to report on a semi-annual basis and maintain a database for this -Update this list of actionable somatic mutations that are actionable on a quarterly basis, and maintain a database -Monitor data flow for every patient enrolled on the clinomics protocol -Ensure that data analysis is launched and completed in a timely manner for every patient on ClinOmics protocol -Work with bioinformatics team to ensure data generated is processed through a standard pipeline -Work with bioinformatics team to identify and implement optimal computing hardware configuration -Schedule and attend weekly bioinformatics core meetings to report progress -Help in the generation of a standard report for actionable changes in each of the assays including exome, transcriptome, copy number, snps, and methylation -Modify existing methods for integrating exome, transcriptome, copy number, and methylation arrays -Give weekly report to project principal investigators -Ensure timeline for sample acquisition to genomic report is 4 weeks -Monitor overall process throughput to identify bottlenecks and improve efficiency -Work collaboratively with team members, especially in ensuring seamless hand-over of responsibilities when planning to be away Qualifications: BASIC QUALIFICATIONS: To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below: -Possession of a Bachelor’s degree (Master’s preferred) in Computational Biology, Biostatistics, Bioinformatics or a related field degree from an accredited college or university according to the Council for Higher Education Accreditation. (Additional qualifying experience may be substituted for the required education). -A minimum of five (5) years of progressively responsible relevant experience -Deep understanding of and expertise in the mathematical/statistical principles underlying the analysis of large-scale data -Ability to understand and analyze data from complex experimental designs -Demonstrated ability to perform integrative analyses and predictive modeling -Proficiency in at least two of the following programming languages: Perl, Python, R, Java and C/C++ -Experience in at least three of the following areas: metagenomics, ChIPSeq, RNASeq, ExomeSeq, DHS-Seq, microarray data analysis -Ability to be organized and keep detailed and accurate documentation -Excellent communication skills as demonstrated by publications and presentations -Must be able to obtain and maintain a security clearance PREFERRED QUALIFICATIONS : Candidates with these desired skills will be given preferential consideration: -A solid understanding of biology, cancer and the molecular basis of human disease Expected Competencies: Programming in python; workflow development; data processing and analysis skills
Requeriments :
Skills :
- Biology
- Cancer biology
- Mathematics
- Microarray
- Programing in C
- Programing in C++
- Programing in Python
- Programming in Java
- Programming in PERL
- Programming in R
- RNA-seq
- Statistics
Areas :
Additional Info:
The Advanced Biomedical Computing Center (ABCC) is a part of the Data Science and Information Technology Program at Leidos Biomedical Research, Inc. The ABCC provides technology development, scientific consultation, collaboration and training, and high-performance computing support to the NCI and NIH scientists and staff. Leidos Overview: Leidos is a global science and technology solutions leader working to solve the world’s toughest challenges in the defense, intelligence, homeland security, civil, and health markets. The company’s 33,000 employees support vital missions for government and commercial customers. Headquartered in Reston, Virginia, Leidos reported pro forma annual revenues of approximately $10 billion for the fiscal year ended January 1, 2016 after giving effect to the recently completed combination of Leidos with Lockheed Martin's Information Systems & Global Solutions business (IS&GS). For more information, visit www.Leidos.com. The company’s diverse employees support vital missions for government and commercial customers. Qualified women, minorities, individuals with disabilities and protected veterans are encouraged to apply. Leidos will consider qualified applicants with criminal histories for employment in accordance with relevant Laws. Leidos is an Equal Opportunity Employer. [Click Here to Access the Original Job Post]