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    Opportunity: Research Investigator, Translational Bioinformatics -- Immunology (#1404930) @ Bristol-Myers Squibb -- Trenton, NJ (US)
    Submitted by Jody Aikawa; posted on Tuesday, October 21, 2014


    The successful candidate will have a strong combination of biology and genetics background coupled with excellent bioinformatics skills. The job involves leveraging molecular genetics, next generation sequencing technologies and bioinformatics analysis toward the identification and development of new pharmaceutical targets. Novel and creative approaches are expected including developing epigenetic approaches to disease modification. The candidate is expected to be able to integrate multi modal multi analyte biomarker data from preclinical data or clinical trials as well as literature based evidence to understand disease pathogenesis and progression, drug MOA and response to therapies. Team work skills will be essential to work closely with biologists and statisticians to design the right experiments, incorporate the right biomarkers in study protocols to enable the generation of testable hypotheses and drive toward practical application of these molecular signatures.

    Communication skills are essential to present analysis results and interpretations to complex matrix teams of biomarker leads, discovery biologists, statisticians, informaticians and clinicians. The candidate will work closely with biomarker leads and translational research teams to identify and address near term and long term bioinformatics needs for pre clinical and clinical programs and work closely with core bioinformatics group to communicate these needs.


    • Ph.D. with at least 3 years relevant experience in biotech, pharma or academia.
    • Working experience in the pharmaceutical industry preferably in pre-clinical/clinical research.
    • Strong  background in Omic (DNA, RNA, epigenetic, proteomic) data analysis and biological interpretation.  
    • Ability to communicate effectively with biologists, biostatisticians and computational scientists.
    • Proficiency using R and Bioconductor packages, scripting languages (Python, Perl), commercial bioinformatics tools (ArrayStudio, Partek), data visualization tools (Spotfire, Cytoscape), molecular pathway analysis tools (Metacore, IPA). 
    • Experience with open source bioinformatics  tools (e.g. GATK, Cufflinks, SAMtools, BAMtools etc.) is expected.   
    • Working knowledge of commercial and publicly available biological databases  NCBI, Ensembl, ArrayExpress/GEO, SRA, TCGA, 1000 Genomes etc.). 
    • Familiarity with biostatistics and supervised and unsupervised analysis of Omic data will be of additional value.


    Trenton, NJ


    To apply for this position, please use the following URL:[...]5673c

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