Bioinformatician in the Bioinformatics Core Facility

This role as a Bioinformatician in a Bioinformatics Core Facility requires expertise in computational biology and data analysis to support diverse research projects. Key skills include proficiency in bioinformatics tools and software for analyzing high-throughput sequencing data, such as RNA-seq, DNA-seq, and other omics datasets. Experience with programming languages commonly used in bioinformatics, including Python, R, and possibly Perl or Java, is essential for developing pipelines and custom analyses. Familiarity with statistical methods and data visualization techniques is important for interpreting complex biological data and communicating results effectively. Knowledge of databases and resources like NCBI, Ensembl, and UCSC Genome Browser is beneficial. The role typically demands the ability to collaborate with multidisciplinary teams, including biologists and clinicians, to translate computational findings into biological insights. Experience with version control systems (e.g., Git) and workflow management tools (e.g., Snakemake, Nextflow) enhances reproducibility and efficiency. A strong foundation in molecular biology and genetics is advantageous to understand the biological context of the data. While specific experience and education levels are not detailed, a background in bioinformatics, computational biology, or a related field at the graduate level is generally expected. Overall, the position emphasizes analytical skills, programming proficiency, biological knowledge, and collaborative communication within a core facility setting supporting multiple projects.