Computational Biologist

Computational BiologistA Few Words About Us Integrated Resources, Inc is a premier staffing firm recognized as one of the tri-states most well-respected professional specialty firms. IRI has built its reputation on excellent service and integrity since its inception in 1996. Our mission centers on delivering only the best quality talent, the first time and every time. We provide quality resources in four specialty areas: Information Technology (IT), Clinical Research, Rehabilitation Therapy and Nursing.Job DescriptionThe Epigenetics Group is seeking a scientist who is passionate about leveraging computational biology to create life-changing therapies for patients with degenerative diseases.Work within Epigenetics and collaboratively with other Biogen discovery, translational and clinical scientists to design experiments that probe multiple 'omic dimensions (e.g., transcriptome, proteome, genome, epigenome), to use creative analytical approaches to reveal drug targets and biomarkers, and to generate insights into mechanisms of action.You will become expert in the interrogation of bench- and patient-derived high-throughput data sets to produce new insights into fundamental biology and to further the development of effective therapies.QualificationsB.S. plus five years' experience, or an M.S. plus three years' experience in life science research, with a degree in cell biology, molecular genetics or a related discipline (background flexible).Industry experience a plus.Candidates with PhD's may also be considered.Experimental design, implementation and interpretation skillsCreative/innovative/problem-solving Adaptable/flexible/agile/team-orientedExperience and strong proficiency in the analysis and integration of multiple 'omic data setsFamiliarity with high-throughput platforms for analysis of: coding and non-coding transcriptomes; DNA, histone, and protein methylation; chromatin conformation; protein/RNA/DNA interactions; and/or genomics, epigenomics, or metabolomics.A track record of working collaboratively with teams involved in large-scale data processing and analysis architectures, balancing publicly available toolsets and datasets with targeted internal code development and experimentation.A demonstrated understanding of the use of visual information techniques to effectively communicate the essence of complex biological results.Knowledge of modern object-oriented and statistical programming techniques, and languages (e.g., R, Python, MATLAB, Java, C/C++, sh).