Primary Responsibilities

• 1. Clinical Development & Execution
• • Lead clinical development programs for in vivo gene editing, covering IIT, IND submissions through Phase I to pivotal registration trial design and execution.
• • Develop clinical study protocols (Protocols), Investigator Brochures (IBs), and key documents ensuring compliance with global regulations (FDA/NMPA).
• • Oversee CRO teams in executing international clinical programs, managing data quality and patient safety in multinational trials (e.g., US-China/global sites).
• 2. Medical Support & Risk Control
• • Provide medical expertise for therapy-related inquiries, monitor protocol deviations and safety events (AE/SAE), and issue medical judgments.
• • Review clinical data (efficacy/safety) to support regulatory filings.
• 3.Strategic Planning & Global Development
• • Develop global clinical development strategies (including MRCT), lead Phase I to pivotal trial designs, and evaluate international pathways (e.g., simultaneous US-China regulatory filings).
• • Communicate with regulatory agencies (FDA/NMPA) for key meetings (e.g., Pre-IND, End-of-Phase).
• 4.Cross-functional Collaboration & Decision-Making
• • Collaborate with cross-functional teams (R&D, CMC, Regulatory) to allocate global clinical resources and manage budgets.
• • Build KOL networks and partner with global investigators to drive protocol implementation.

Requirements

• 1. Education: MD (priority: Ophthalmology) with 5+ years of novel drug clinical development industry experience, including 1-3+ years in team leadership.
• 2. Experience: Led or played key roles in ≥2 global clinical trials, including multiregional clinical trials (MRCT).
• 3. Preferred: Expertise in cell/gene therapy.
• 4. Skills: Fluent English for leading global protocol discussions and resolving regional investigator discrepancies. 
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Join us:

hr@geneditbio.com

Primary Responsibilities

• Execute molecular biology experiments according to established protocols, including DNA/RNA purification, PCR, qPCR, gel electrophoresis, plasmid cloning and preparation, in vitro transcription, NGS library construction (pooling, cleanup, quantitation) and Western blotting
• Perform mammalian cell culture experiments such as transfection, transduction, electroporation, filtration, fluorescence microcopy and cell-based assays in a BSL-2 laboratory setting
• Provide technical supports for performing quality control experiments
• Review literature, design new experiments, analyse data, write SOPs and document research work
• Visualise and present data at regular team meetings
• Account for agreed experiment timelines
• Participate in discussion about research plan and direction
• Contribute to development of safer and more efficient delivery of therapeutic gene-editing agents
• Candidate with less experience will be considered as Associate Scientist

Requirements

• A Master’s degree (or Bachelor’s degree with at least one-year relevant lab experience) in life sciences, biomedical sciences, biochemistry, chemistry, microbiology or related discipline
• Experience in working with DNA, RNA and protein
• Hands-on experience in molecular cloning, PCR-based assays and mammalian cell culture
• Willingness to ask scientific questions, provide solutions to technical problems and learn new research methods

Preferred Requirements

• Experience in CRISPR (or other gene editors)
• Understanding and hands-on experience in working with nanoparticles and specimens of animal and human origins
• Experience in using R, ggplot2 and GraphPad Prism in statistical analysis and data visualisation.
• Adaptable to a fast-paced working environment
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• Join us:
• hr@geneditbio.com

Primary Responsibilities

• • Develop and optimize bioinformatics pipelines for analyzing large-scale genomic and transcriptomic datasets, with a focus on advancing CRISPR genome editing technologies.
• • Design and implement machine learning and AI-driven frameworks, including cutting-edge LLMs, to predict and engineer novel proteins with desired properties.
• • Leverage public and proprietary datasets to develop robust algorithms for identifying functional protein domains and optimizing genome editing outcomes.
• • Collaborate with interdisciplinary research teams, including molecular biologists, computational scientists, and engineers, to translate computational discoveries into experimental validations.
• • Stay up-to-date with advancements in CRISPR technologies, protein engineering, and AI/LLM applications in bioinformatics, ensuring the integration of state-of-the-art techniques into research workflows.
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Requirements

• • A PhD in Bioinformatics, Computational Biology, Biostatistics, or a related field, with demonstrated experience in CRISPR technologies and protein engineering.
• • Strong publication record in relevant fields, showcasing innovative contributions to bioinformatics and genome editing research.
• • Proficiency in programming languages commonly used in bioinformatics (e.g., Python, R) and experience with tools for large-scale data analysis and pipeline development.
• • Knowledge of cloud computing platforms and high-performance computing for large-scale bioinformatics workflows is preferred.
• • Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and their application to biological problems.
• • Hands-on experience with CRISPR guide design, off-target prediction, or editing outcome analysis is preferred.
• • Experience with LLMs and their use in analyzing biological sequences, predicting protein structures, or generating novel protein designs is highly desirable.
• • Expertise in utilizing natural language processing (NLP) and LLMs for interpreting biological data, such as protein sequences or genomic annotations, is preferred.
• • Proven ability to work in a fast-paced, dynamic R&D environment, balancing multiple projects and priorities effectively.
• • Strong communication and teamwork skills, with the ability to collaborate across disciplines and present complex findings to diverse audiences.
• • Hands-on experience with CRISPR guide design, off-target prediction, or editing outcome analysis is preferred.
• • Knowledge of cloud computing platforms and high-performance computing for large-scale bioinformatics workflows is preferred.
• • Expertise in utilizing natural language processing (NLP) and LLMs for interpreting biological data, such as protein sequences or genomic annotations, is preferred.
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• Join us:
• hr@geneditbio.com