Business Analyst

is a leading consulting and services firm specializing in providing comprehensive technology solutions for Life Sciences IT organizations. Our primary focus is on assisting these organizations in effectively and efficiently delivering solutions that support their business objectives and their mission to enhance human health and improve lives.

The Multimodal Discovery Platforms team supports digital platforms that enable scientific discovery across genetics, multi-omics, spatial biology, digital pathology, high-content imaging, flow cytometry, and medical imaging. The team partners closely with research scientists, computational biologists, bioinformaticians, and technology teams to build scalable, AI-ready digital platforms that accelerate target discovery, biomarker research, translational science, RNAi discovery and delivery, and preclinical development.

We are seeking a Business Analyst – Multimodal Discovery Platforms to serve as a strategic bridge between scientific teams and technology organizations. This individual will translate complex biological and analytical workflows into clear business and technical requirements, user stories, process and data-flow diagrams, and actionable specifications for platform and data engineering teams.

The ideal candidate combines strong Business Analysis capabilities with a working understanding of bioinformatics, multi-omics data, scientific workflows, and modern cloud-based data platforms.

• Partner with wet-lab scientists, computational biologists, bioinformaticians, translational researchers, data engineers, and platform teams to understand scientific workflows, data needs, and technology requirements.
• Map end-to-end scientific processes and data life cycles across modalities including single-cell omics, spatial transcriptomics, proteomics, digital pathology, high-content imaging, and related discovery technologies.
• Document current-state and future-state workflows
  , identifying gaps, bottlenecks, dependencies, and opportunities to improve data ingestion, processing, analysis, visualization, and reuse.
• Translate scientific use cases and analytical challenges into structured business requirements, epics, user stories, acceptance criteria, system workflows, and technical specifications
  .
• Develop business capability, process, architecture, and data-flow diagrams that clearly communicate how scientific data moves across platforms and applications.
• Collaborate with platform and data engineering teams to ensure requirements accurately reflect scientific needs and are technically actionable.
• Maintain and groom the product backlog, support prioritization, and coordinate sprint goals and delivery activities in partnership with the Platform Lead.
• Facilitate requirements-gathering sessions, workflow reviews, stakeholder discussions, and solution-validation activities.
• Develop user documentation, platform guidance, and IT SOPs to support adoption and effective use of scientific platforms.
• Support implementation, testing, rollout, and continuous improvement of digital capabilities supporting discovery and translational research.

• Bachelor's or Master's degree in Bioinformatics, Computational Biology, Biomedical Engineering, Life Sciences, Information Technology
  , or a related discipline.
• 3–5+ years of experience as a Business Analyst, Systems Analyst, Technical Product Analyst, or similar role within biotechnology, pharmaceutical, life sciences R&D, or scientific research environments.
• Strong familiarity with multi-omics and scientific data modalities
  , such as single-cell RNA sequencing (scRNA-seq), spatial…