We seek an enthusiastic and self-starting senior bioinformatician to design, implement and evaluate novel analytical tools to support our genome editing group. In particular, the successful applicant will develop a discovery tool to understand the functional consequence of CRISPR/Cas9 off-target effect using multi-omics data, and a prediction tool to predict the targeting patterns of CRISPR/Cas9 gRNAs with minimum off-target effect. This role reports to Senior bioinformatics director.
Work with our genome editing team to develop a framework for reliably evaluating the targeting patterns of CRISPR/Cas9 gRNA libraries.
Perform explorative analysis to understand the functional consequence of off-target effect in CRISPR edited animals.
Apply state-of-the-art data mining techniques to derive gRNA efficiency and specificities prediction rules from past CRISPR/Cas9 NGS datasets and gradually improve the prediction of gRNA design program.
Document bioinformatics SOP and technical reports, and present work to our collaborators.
Stay up-to-date with new developments, technologies and methods in genome editing.
Carry out any other duties as required.
Master’s or Doctoral degree in biostatistics, systems biology, computational biology, computer science or a related field, with >=5 years of experience in NGS data analysis.
Programming experience with one or more of Python, Perl, C/C++, Java and R.
Proficiency with Linux computing environment and batch job processing.
Excellent communication skills, with an aptitude to describe the significance of their work to biologists.
Ability to multitask and aptitude for fast turnover in the startup environment.
Experience working in a biotechnology research environment, especially in the genome editing field.
Knowledge of AWS, Aliyun or other cloud computing platforms.
Good grasp of multi-threading and/or distributed computing concepts and strategies.
Good knowledge of genetics and immunology.