Bioinformatics Associate

The Bioinformatics Associate will perform bioinformatics data analysis to support therapeutic program decisions. The successful candidate will collaborate with a multidisciplinary team to advance the use of large-scale biological data and contribute to scientific innovation. Ideal candidates will have a strong foundation in scientific, computational, and statistical disciplines, with the ability to deliver impactful results. Flexibility, independence, and enthusiasm for cross-functional collaboration are key to success in this role.Key Responsibilities:Assist data scientists and data engineers in curating and ingesting omics datasets by proposing modern data models and building ETL (Extract, Transform, Load) pipelines to maintain data integrity and consistency.Support the development and automation of data processing pipelines for laboratory and omics data, including NGS, proteomics, and spatial transcriptomics datasets.Implement analytical workflows to support early drug target identification and evaluation.Clearly communicate scientific results and conclusions.Proactively update key stakeholders and supervisors on project activities and progress.