Shu-Hong Lin
Computational Biologist | Senior Scientist in RNA‑Therapeutics & TCR Therapy in oncology | ML‑Driven RNA optimization | Multi‑omics informed development | Seeking New Opportunities
- Role
- Principal Bioinformatics Data Scientist at Baylor Genetics
- Location
- Cambridge, MA, US
- LinkedIn followers
- 500 followers
About Shu-Hong Lin
Computational biologist with 10+ years of experience at the intersection of data science and therapeutic development, specializing in oncology, immunotherapy, and RNA-based platforms. Adept at integrating large-scale multi-omics datasets (genomics, transcriptomics, proteomics) with advanced machine learning methods to uncover clinically actionable insights and accelerate target discovery. Experienced in developing AWS-based pipelines, training large language models on biological sequences, and translating predictive models into tools for RNA design and T cell receptor (TCR) optimization. Earned a Ph.D. in Cancer Biology (concentration in Biostatistics, Bioinformatics, and Systems Biology) from MD Anderson Cancer Center. Key Competencies Integrate public and proprietary multi-omics datasets (genomics, transcriptomics, and proteomics) with scalable cloud platforms (AWS) to enable data-driven target discovery. Deliver computational biology and bioinformatics solutions across diverse environments, including academic research, federal institutions, biotech startups, and venture-backed R&D teams. Develop and apply machine learning and AI algorithms to solve complex problems in oncology, immunotherapy, and RNA therapeutic development. Lead cross-functional task forces to evaluate and implement innovative technologies such as large language models and AI-guided therapeutic design.Technology Skills: Programming: Python, R, Bash, Perl | Tools: AWS, HPC, Stata, Microsoft Suite, ChatGPT, Perplexity | Analytics: ML (random forests, LLMs), GWAS, NGS pipelines | Domains: immunotherapy, transcriptomics, neoantigen prediction
Experience
Principal Bioinformatics Data Scientist
Mar 2026 — Present
Education
UTHealth Houston
Doctor of Philosophy (Ph.D.), Cancer Biology (Biostatistics, Bioinformatics, and Systems Biology)
2012 — 2017
The Ohio State University
Master's Degree, Oncology and Cancer Biology
2008 — 2011
National Taiwan University
Bachelor of Science - BS, Veterinary Medicine
Skills
- Molecular Epidemiology
- Cancer Epidemiology
- Western Blotting
- Data Analysis
- Molecular Biology
- Microsoft Office
- Cell Biology
- Elisa
- Cancer Research
- Genome Sequencing
- Cell
- Statistics
- Biomarker Discovery
- Stata
- Flow Cytometry
- Mirna
- Pcr
- Cell Culture
- Bioinformatics
- Transfection
- Laboratory
- R
- Cancer
- Research
- Cancer Genomics
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