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Scientist, Computational Biology

Trenton, NJ 08648

Posted: 06/06/2023 Employment Type: Contract Job Category: Scientific Job Number: 562009 Is job remote?: No Country: United States

Job Description

Target Pay Rate: 40-59.92/hr **salary will be commensurate with experience 

We are seeking a highly motivated bioinformatician to join our Translational Bioinformatics late stage Immunology, Cardiovascular, Fibrosis and Neurology (ICFN) team, within Informatics and Predictive Sciences group. The successful candidate will help advance Bristol-Myers Squibbs industry leading ICFN late stage clinical programs through the strategic application of cutting edge bioinformatics approaches.

  • Analyze various -omic-scale data generated from human subjects in clinical trials and other observational cohorts including RNA-Seq, Exome and Whole Genome Sequencing, high throughput proteomics, and multiplex flow cytometry in order to validate pharmacodynamics effects, confirm mechanism of action, and enable patient enrichment strategies.
  • Integrate and mine large-scale external data sets to further our understanding of ICFN diseases and patient treatment options.
  • Extract insights and generate hypotheses to be evaluated in future trials and to inform our discovery pipeline.
  • Collaborate with bioinformaticians, statisticians, biologists, biomarker leads, and clinicians to design experiments. Implement statistical/computational analysis plans.

  • Master or Ph.D. in bioinformatics, engineering, statistics, physics, molecular biology, genetics, or a similar discipline.
  • Robust experience with statistical analysis required
  • Proficiency using R and Bioconductor packages required
  • Experience in preclinical or clinical research preferred
  • Strong background in -omic (DNA, RNA, epigenetic, proteomic) data analysis and biological interpretation is a plus.
  • Working knowledge of commercial and publicly available biological databases including NCBI, Ensembl, ArrayExpress/GEO and SRA is a plus.
  • Strong problem-solving and collaboration skills, rigorous and creative thinking
  • Ability to communicate effectively with biologists, biostatisticians and computational scientists.
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