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    Post Doctoral Fellow - Houston, United States - University of Houston

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    Description
    Possesses, understands, and applies a comprehensive knowledge in area of specialization. Develops understanding and skills to allow for completion of assignments that cross fields of specialization. Develops leadership and management skills.


    • Receives/Reviews progress and evaluates results of experiments or projects under control or supervisory responsibility.
    • Recommends changes in research, testing or experimental procedures.
    • May be responsible for a single highly technical and complex piece of research equipment.
    • May review and evaluate the effectiveness of personnel.
    • May plan for and assign personnel to projects under control.
    • Operates with latitude for unreviewed action.
    • May receive general supervision conferring with higher levels only in unusual situations.
    • Performs other job-related duties as required.
    EEO/AA


    Additional Job Posting Information:
    Senior Post Doctoral Associate (Lead Bioinformatics Scientist) UH-Sequencing Core


    The ideal candidate will have a strong background in computational biology, expertise in statistical analysis and programming languages such as R, Perl, and Python, and a proven track record of leading bioinformatics projects.


    Key Responsibilities:

    • Lead and mentor a team of computational biologists in the analysis of NGS data, including but not limited to genomics and transcriptomics data.
    • Collaborate with cross-functional teams to design and execute bioinformatics pipelines for processing and analyzing multi-omics data, to uncover novel biomarkers and therapeutic targets.
    • Drive the development of bioinformatics tools and resources to facilitate data analysis, interpretation, and visualization, ensuring reproducibility and scalability of computational workflows.
    Doctoral and No experience


    Requires singular knowledge of a specialized advanced professional discipline or the highest level of general business knowledge, normally acquired through attainment of a directly job-related terminal degree or equivalent formal training in a recognized field of specialization that is directly related to the type of work being performed.

    No experience is required.


    Preferred qualifications:

    • PhD in computational biology, bioinformatics, biology, or a related field.
    • Minimum of 5 years of postdoctoral or professional experience in bioinformatics, with a focus on cancer research preferred.
    • Demonstrated expertise in analyzing NGS data for biomarker discovery and translational research.
    • Proficiency in programming languages such as R and Python, as well as experience with bioinformatics tools and packages for data analysis and visualization.
    • Experience with high-performance computing (HPC) environments and cloud-based bioinformatics platforms.
    • Familiarity with version control systems and software development methodologies for collaborative and reproducible research.
    • Experience in building bioinformatics tools and pipelines to support large-scale omics data analysis and processing.


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