Position as Computational Analyst / Bioinformatician in RNA Therapeutics and Cardiometabolic Disease

This position as a Computational Analyst / Bioinformatician in RNA Therapeutics and Cardiometabolic Disease requires expertise in computational biology and bioinformatics with a focus on RNA-based therapeutics and cardiometabolic disorders. Candidates should possess strong skills in analyzing high-throughput RNA sequencing data, including transcriptomics and related omics datasets. Proficiency in programming languages commonly used in bioinformatics such as Python, R, or similar is essential for data processing, statistical analysis, and visualization. Experience with bioinformatics tools and pipelines for RNA analysis, including alignment, quantification, differential expression, and pathway analysis, is critical. Familiarity with databases and resources relevant to RNA therapeutics and cardiometabolic disease research is advantageous. The role likely involves integrating multi-omics data to elucidate molecular mechanisms and identify therapeutic targets, requiring strong analytical and problem-solving skills. Knowledge of statistical methods and machine learning techniques applied to biological data is beneficial. Effective communication skills are important for collaborating with interdisciplinary teams and presenting findings. While specific experience and education levels are not provided, a background in computational biology, bioinformatics, molecular biology, or a related field is implied. Overall, the role demands a combination of computational proficiency, biological insight, and experience in RNA therapeutics and cardiometabolic disease research to contribute to innovative therapeutic development.