At Cincinnati Children's Hospital Medical Center - consistently recognized as one of the nation's top places to work and a global leader in pediatric research and care - we are driven by a shared commitment to discovery, collaboration, and impact. We are seeking a highly motivated Bioinformatics Analyst or a Postdoctoral Research Fellow at various career stages. Exact position and title will be commensurate with the candidate's qualifications and experience.
The Computational Regulatory Genomics Laboratory develops statistical and machine learning-based methods to understand the fundamental mechanisms of gene transcriptional regulations in various biological contexts. Our research focuses on enhancer regulation and systems-level understanding of enhancer architectures and functions across diverse biological contexts. We integrate multi-omics data, including ChIP-seq, ChIP-exo, CUT&RUN, GRO-seq, csRNA-seq, RNA-seq, ATAC-seq, Hi-C, and single-cell technologies, to delineate heterogeneous architectures of transcription factor binding events and chromatin landscapes at high resolution. The lab broadly collaborates with multiple experimental laboratories, encompassing metabolism, cancer, and development. The lab's works were published in many high-profile journals such as Nature, Cell Metabolism, Molecular Cell, Genes & Development, Circulation, Nature Communications, and the Journal of Clinical Investigation.
JOB RESPONSIBILITIES
* Informatics
* Curates, annotates and organizes various types of biomedical data (e.g., genomic, clinical, imaging, sequencing) in various formats (e.g., flat files, relational and non-relational databases).
* Collects and records appropriate metadata.
* Ensures data are securely stored yet highly accessible to authorized users.
* Develops and executes data characterization/quality assessment routines of basic to moderate complexity including metadata standardization.
* Data Analysis
* Assists analysts and managers in building robust pipelines for curating, processing and analyzing biomedical data of various types (e.g., genomic, clinical, imaging, sequencing).
* Utilizes existing software and contributes to the development of new and existing tools to support complex data management tasks (e.g., sequence alignment, variant calling, inter-sample comparison, patient matching/linkage).
* Helps develop scalable, searchable and secure data structures, utilizing best-practices as much as possible.
* Incorporates institutional resources and 3rd party software into specialized analysis workflows for the team and clients.
* Maintains computational infrastructures and controls the flow of data and information for studies.
* Provides web-based bioinformatics tools and access to public and proprietary relational databases.
* Documents standard operating procedures based on best practice.
* Works in collaboration with both technology and scientific teams.
* Requirements Gathering
* Interfaces with clinicians/researchers to collect requirements of basic to moderate complexity including user workflows.
* Problem-solves and discusses possible solutions with the stakeholders.
* Considers the implications of possible solutions on the current environment.
* Software Evaluation & Development
* Contributes to the evaluation and development of software solutions to support basic to moderately complex data workflows.
* Participates in various aspects of the software development life cycle, including identification of key stakeholders, design requirements gathering, system analysis and design, code generation, testing and implementation.
* Effectively communicates the status of all efforts to necessa
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