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
•  
• Join us:
• hr.hk@geneditbio.com

Position (full-time)

Senior Scientist/Scientist (Bioinformatician)

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.

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.
•  
• Join us:
• hr.hk@geneditbio.com

Primary responsibilities

• Develop bioinformatic pipelines to analyze genomics DNA sequencing data.
• Assist in large-scale data and AI-based algorithm development in predicting protein structure and domain functions for deaired genome editing requirements.
• Assist in various pipeline and database maintenance.

Requirements

• A recent master degree with at least 2 years working experience or a PhD in bioinformatics, computer science, or biostatistics disciplinary.
• Publications showing competence in bioinformatics is required.
• General knowledge or experience in genomic DNA sequencing data analysis is required.
•  

Join us:

hr.hk@geneditbio.com