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Job Description
NUS Yong Loo Lin School of Medicine, Department of Medicine is seeking a highly motivated, passionate individual to join our team. The incumbent will play a vital role in providing efficient and timely clinical research and administrative support for faculty members.
Responsibilities
- Generate, annotate, gather or analyze data and prepare for further analysis, or research.
- Monitor sequencing data quality and work with lab team to address deviations.
- Serve as a functional expert in pre-sales and customer engage activities providing the necessary technical support in identifying and selecting the best solution that fulfills the customer needs.
- Analysis of problems to develop integrated solutions involving computer hardware and software.
- Contribute to development and evaluation of goals and objectives.
- Provide bioinformatic support to R&D teams in a rapidly shifting discovery environment, including the development of new analytical methods and the effective presentation of analysis and results to diverse audiences.
Responsibilities
- Prepare written reports and presentations for internal use as well as presentations at conferences.
- Use logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems.
- Consult during experimental design and working closely with experimental researchers to generate/provide analysis reports, project reports and perform requested custom analysis to ensure that project goals are met within specified timelines.
- Perform in depth investigations to understand how technical factors (e.g. the algorithms used) affect performance for different type of genomic alteration.
- Develop dashboards and interactive tools to enable data sharing across multi-disciplinary teams.
Qualifications
- Master Degree or higher in computer science.
- Advanced proficiency with R language, Python, Perl, and other common programming languages.
- Comfortable with pipeline frameworks.
- In-depth understanding of genotyping processes.
- Familiarity with Linux and Unix systems.
- Able to conduct tasks involving datasets.
- Demonstrated attention to detail.
