工作內容
We are seeking a highly motivated mRNA-LNP R&D Scientist to join our growing team. The ideal candidate will lead the development and optimization of mRNA-lipid nanoparticle (LNP) delivery systems for clinical applications. This role involves lipid formulation design, mRNA encapsulation optimization, and in vitro/in vivo characterization to enhance stability, efficacy, and safety.
工作說明
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工作縣市:新北市
- 上班地點:新北市汐止區
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工作待遇:面議
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上班時段:日班,
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需求人數:1
條件要求
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工作經歷:
工作經歷不拘
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學歷要求:博士
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科系要求:
生物學相關
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專長需求:
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擅長工具:
- 具備駕照:
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其他條件:
Required:
● PhD in Pharmaceutical Sciences, Bioengineering, Nanomedicine, Immunology, or related fields.
● LNP Formulation & mRNA Encapsulation
Design, develop, and optimize ionizable lipid formulations for efficient mRNA delivery.
Characterize LNP physicochemical properties (size, PDI, charge, encapsulation efficiency, stability).
Optimize LNP formulations for targeted delivery, endosomal escape, and controlled release.
● mRNA Synthesis & Stability Testing
Work with molecular biologists to design and synthesize IVT (in vitro transcribed) mRNA.
Optimize mRNA sequence elements (UTRs, codon optimization) for increased translation efficiency.
Conduct stability and degradation studies for mRNA-LNP formulations under various conditions.
● Analytical & Characterization Techniques
Perform bioassays (ELISA, Western blot, qPCR) to assess mRNA translation and protein expression.
Apply cell-based assays to evaluate transfection efficiency and immune response activation.
● Preclinical and Translational Research
Evaluate LNP biodistribution and pharmacokinetics (PK) in vitro/in vivo. Develop and validate in vitro models (tumor cell lines, immune co-cultures) and in vivo models (murine models). Collaborate with immunologists to analyze immune activation profiles (flow cytometry, cytokine assays).
Preferred:
● Experience with novel ionizable lipid development and LNP structural modifications.
● Familiarity with mRNA-LNP manufacturing and regulatory requirements for mRNA-based therapeutics.
● Ability to work in cross-functional teams (chemistry, molecular biology, immunology, AI-driven drug design).