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Home > Job Board > BioInformatics Analyst III 

Job Title:BioInformatics Analyst III
Job Description:

SAIC-Frederick, Inc., is a wholly owned subsidiary of Science Applications International Corporation (SAIC).  As prime contractor for the National Cancer Institute’s research and development center in Frederick, MD, this national laboratory is dedicated to rapidly translating basic research into new technologies for diagnosing, treating, and preventing cancer and AIDS.  SAIC-Frederick maintains a full suite of advanced technologies in areas such as nanotechnology, genomics and imaging; operates the federal government’s only drug and vaccine manufacturing facilities; operates the high-performance Advanced Biomedical Computing Center; and supports more than 300 clinical trials for patients in the US and around the world. 

THIS POSITION IS CONTINGENT UPON AMERICAN RECOVERY AND REINVESTMENT ACT (ARRA) FUNDING. SAIC-F is seeking a Bioinformatics Analyst III to provide technical expertise in bioinformatics and biostatistical analysis for ARRA funded National Cancer Institute (NCI) Programs. These NCI programs include The Cancer Genome Atlas (TCGA) (http://cancergenome.nih.gov), Therapeutically Applicable Research to Generate Effective Treatments (TARGET) (http://target.cancer.gov), and the Cancer Genome Characterization Initiative (http://cgap.nci.nih.gov/cgci.html). Goals of the analysis include assessing the technical quality of data, assessing the scientific quality of data, comparing newly generated data with existing data, and developing novel hypotheses about cancer biology, diagnosis, tumor progression, and therapies. Will provide technical expertise for this analysis work and work closely with other scientists within SAIC-F and the Center for Biomedical Informatics and Information Technology (CBIIT). Some projects will be broadly defined. For example, this person may be tasked with identifying mutations and copy number alterations that appear to be driving tumor progression or characterizing tumor subtypes in a given data set. Other projects will be more narrowly defined. For example, possible projects include computing the sequence read coverage for all exons in a given set of genomic sequence data. Several projects may be active concurrently.

REQUIRED SKILLS: Possession of a Bachelor’s degree in biomedical science/bioinformatics/math/computer related field from an accredited college or university or four (4) years related experience in lieu of degree. Foreign educated candidates who have completed part or all of their education outside of the United States must have their foreign education evaluated by an SAIC-approved accrediting organization to assure that it has met the equivalency of the qualifications of degree work in the United States. In addition to education requirements, a minimum of six (6) years related experience in a laboratory environment with a strong background in database management or utility programming. Must have proven expertise in biostatistics, a solid understanding of biological data and bioinformatics resources, knowledge of and experience in using descriptive statistics, tests of significance, correlations, logistic regression, Kaplan-Meier and Cox survival analyses, trend tests, analysis of variance, principal component analysis, data normalization techniques, cluster methods, and machine learning methods. In addition, must have experience representing analytical results as tables and graphs, experience using the R programming language and a general scripting language such as Perl. Must have outstanding oral and written communication skills and the ability to completely define an analytical approach for defined scientific questions. This position is subject to obtaining a Public Trust Clearance.

DESIRED SKILLS: A Master’s degree is preferred. Expertise in cancer research, an understanding of DNA and RNA sequencing methods, analyzing high-throughput genomic data including genotype, genomic sequence and gene expression data, applying algorithms for computing sequence homology, mapping sequence reads to reference genomic sequence, and for detecting sequence variation. Expertise in correlating molecular and clinical measures and in applying algorithms for clustering and classifying samples by molecular measures, analyzing microarray data for currently supported microarray platforms from Affymetrix, Agilent, and Illumina, and understanding of current methods of measuring gene and miRNA expression and alterations in genomic copy number and heterozygosity. Experience in managing the development and deployment of systems that are subject to regulatory requirements in the clinical domain, including those that are subject to 21 CFR Part 11, HIPAA, FISMA, Section 508 of the Rehabilitation Act, and OMB Memorandum M-06-16.  
Link:http://www.saic-frederick.com/careers
Phone:
Email:rimorinla@mail.nih.gov
Fax:
Field of Research:Biostatistics
Work Setting:Other
How to Apply:Please visit www.saic-frederick.com/careers for more information and to apply. Reference Req ID 177013.
Posted Date:7/20/2010 4:38:28 PM
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