About DeepTrans Bio
Biopharma R&D support and biomedical data analysis for teams that need clarity, not noise.
DeepTrans Bio is a biopharma R&D support and biomedical data analysis service brand led by Zhou Yaojun.
The work focuses on turning project questions, data inputs, analysis pathways, figures, and reports into materials that are understandable, auditable, and useful for research communication and early-stage decision-making.
Background spans molecular biology, immunology, bioinformatics, and R&D project management — with hands-on experience in wet-lab research, computational analysis, and cross-functional team coordination.
Services are structured around three tracks: Drug R&D & Project Initiation, Translational Medicine & Biomarker Analytics, and Bioinformatics & Omics Evidence Generation. Each track is designed to deliver structured R&D evidence packages that teams can use directly in presentations, manuscripts, grant applications, and internal reviews.
Background
- Wet-lab and computational analysis background
- First-author SCI publication experience
- Cross-functional R&D project coordination
- Experience in biotech startup and CRO environments
How We Work
- Clarify the research question before analysis
- Define data boundaries, assumptions, and deliverables
- Keep methods, data sources, and outputs auditable
- Communicate limitations clearly instead of overstating conclusions
Best Suited For
- Early-stage drug R&D research and feasibility review
- Translational biomarker and diagnostic model analysis
- Bioinformatics evidence generation for R&D decisions
- Literature, target, mechanism, and competitive landscape support
Every deliverable includes a methods summary, data sources, and known limitations. The goal is not to impress with complexity, but to make complex data useful for decision-making.