We are seeking a highly skilled and motivated bioinformatician with expertise in CRISPR technologies and novel protein generation. The ideal candidate will have experience integrating large-scale genomic data analysis, machine learning, and large language models (LLMs) to accelerate the discovery and engineering of proteins with desired functional properties.

• Develop bioinformatics solutions for analysing large-scale genomic DNA sequencing data.
• 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.

• 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

We offer a competitive compensation package, including a five-day work week, paid annual leave, and more. Interested parties, please send us your detailed resume, including current and expected salary, by using 'APPLY NOW' for the job application.

To learn more about us, please visit our website

https://www.geneditbio.com

Information provided will be treated in strict confidence and only used for recruitment purposes.