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The Children's Hospital of Philadelphia Bioinformatics Scientist III - 64022 in Philadelphia, Pennsylvania

Reference #: 697630700Location:LOC_ABRAMSON-Abramson BuildingReq ID:84175Shift: DaysEmployment Status:Regular - Full TimeJob SummaryThe Children's Hospital of Philadelphia Research Institute is an interdisciplinary institution dedicated to conducting basic, clinical and translational research on conditions and diseases that affect children, and is part of The Children's Hospital of Philadelphia and University of Pennsylvania research community.The position is for a Bioinformatics Scientist, an intermediate level post-doctoral position, who will be part of the Division of Genomic Diagnostics. The successful applicant will become part of a highly interactive team that uses statistical genetics, epidemiology, molecular biology, and bioinformatics to study the intricacies of immunogenetics and genetic variation. The broad questions that we aim to quantitatively characterizing the Major Histocompatibility Complex, better understanding genetics related to immunological disease and phenotypes, and patterns of evolutionary pressures.Qualifications: Applicants must have a Ph.D. and expertise in statistical genetics or computational biology with experience in analysis of genome sequencing data, genome wide association studies (GWAS), and integrative analysis of genetics and other omics data. Should have a strong understanding of immunology and pathology. Strong programming skills in python, R, or C/C++ and also UNIX/LINUX system expertise. Familiarity with bioinformatics resources and software.This is a research focused position, so the applicant should be motivated to produce publications and participate on grants. The applicant should be available for at least the next two years. Job ResponsibilitiesPre-Analysis (10%): Actively participate in the development of application portfolio by developing knowledge of internally developed systems, open-source programs, and commercial applications. Provide efficient data management support.Lead development of additional pipeline functionality and changes by providing knowledge of both collaboration-specific requirements and bioinformatics discipline advancesCoding (10%): Code and generally support code and applications on behalf of collaborative project and/or team.Master best practices for project-based code development, QC, and execution consist with the expectations of specific collaborationsLead peer-to-peer code reviews by participating in informal and formal critical code reviewsData Analysis (30%): Analyze data of high complexity by applying sound statistical and commonly accepted bioinformatics methods to -omics data primarily under the direction of the collaborative project team Lead regular peer-to-peer review of analysis plans in both informal and formal settingsDevelop multiple andldquo;specialtyandrdquo; analytical areas that serve one or more collaborative teamsLead adoption of best practices in specialty analytical or biomedical areas by the bioinformatics group and peersCollaboration (30%): Lead bioinformatics portion of scientific collaborations as the primary bioinformatics resourceAs bioinformatics point, assume management role for projects of low-to-moderate complexity, including all aspects of timelines, risk identification and mitigation strategies, and communication mechanismsDirectly manage all elements of project satisfaction and performance relative to scientific project aimsPromote continual objective, andldquo;hardandrdquo; discussions about overall health of project and relationshipDevelop new collaborations with moderate degree of supervisionAcademic Output (20%): Lead project-based presentations, grant sections, and manuscript sections with subsequent review by peers and mentorsRegularly coordinate and write bioinformatics-focused manuscripts and publicationsRegularly coordinate and lead podium presentations and postersProactively contribute to entire bioinformatics and other sections of grant and award proposalsJob Responsibilities (Continued)Job Responsibilit

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