Business Analyst

We respectfully request that 3rd parties refrain from contacting us regarding this posting. LABUR is partnering with a client to identify a Business Analyst who will join their Multimodal Discovery Platforms team. This team supports digital platforms that enable multimodal discovery across genetics, omics, spatial biology, digital pathology, high-content imaging, flow cytometry, and medical imaging. Working alongside scientists and engineers, the team builds scalable, AI-ready platforms that accelerate target discovery, biomarker research, translational science, RNAi discovery and delivery, and preclinical development. As a Business Analyst, you will serve as the strategic bridge connecting wet-lab scientists, computational biologists, and data platform engineers — translating complex biological workflows spanning single-cell omics, spatial transcriptomics, high-content imaging, and proteomics into clear technical specifications, structured user stories, and business capability and architecture diagrams. Responsibilities Engage directly with cross-functional biology and translational teams to map end-to-end workflows and data lifecycles, comparing current-state and future-state data flows across cloud analytics workspaces and identifying friction points in data ingestion, processing, and downstream visualization. Convert scientific use cases and analytical bottlenecks into structured epics, detailed user stories, and system workflow diagrams for platform and data engineering teams. Maintain and groom the team backlog, managing sprint goals and execution cadence in collaboration with the Platform Lead. Develop clear user documentation and IT SOPs to drive platform adoption across scientific end-users. Qualifications B.S. or M.S. in Bioinformatics, Computational Biology, Life Sciences, Information Technology, or a related field. 3–5+ years of experience as a Business Analyst, Systems Analyst, or Technical Product Analyst within a biotech, pharmaceutical, or life sciences research organization. Strong familiarity with multi-omics data modalities (e.g., scRNA-seq, spatial omics, proteomics, pathology) and biological assay workflows, with a background in bioinformatics or biomedical engineering. Demonstrated mastery of Agile/Scrum delivery using Jira and Confluence. Proficiency with workflow mapping tools such as Visio, Lucidchart, or Draw.io. High-level understanding of cloud-native data platforms (e.g., AWS, Databricks, Snowflake). Outstanding ability to translate fluently between bench and computational scientists and software engineering teams. Compensation $50-$60/hr - Dependent on fit and experience.