Purpose of the job
B-Level Research Academics are only expected to undertake independent and/or group research in the field in which they are appointed and carry out activities to develop their research expertise relevant to their appointed research area.

This position is located at the main campus, Bandar Sunway.

The line reports: The position reports to the platform director (Dr. Siyafiq Isnawi)

Key responsibilities
1. Lead the development and implementation of bioinformatics pipelines to support proteomics, metabolomics, and multi-omics data generated within MUMPMP.
2. Lead the design, development and deployment of an intellectual property (IP)-based interactive analytics platform for biomarker discovery and translational research applications.
3. Contribute to high-quality research outputs, including peer-reviewed publications, conference presentations, software tools and reports.
4. Securing grant applications, collaborative project proposals, and industry engagement activities related to bioinformatics and computational biology
5. Contribute to platform operations and cross-functional research initiatives in alignment with the strategic objectives of MUMPMP and JCSMHS.

Main selection criteria
1. Doctoral qualification (PhD) in bioinformatics, computational biology, computer science, systems biology, or a closely related discipline.
2. Familiarity with mass spectrometry-based proteomics and metabolomics workflows (e.g., LC-MS/MS, data acquisition dependent/independent, quantitative/qualitative proteomics).
3. Experience analyzing mass spectrometry data using relevant bioinformatics tools, pipelines, or statistical methods (e.g. PEAKS, MaxQuant, Skyline, MetaboAnalyst, or equivalent).
4. Demonstrate experience in bioinformatics methods, including data integration, analysis, and interpretation of proteins, metabolomics, and/or multi-omics datasets.
5. Proficiency in relevant programming and scripting languages ​​(e.g. R, Python, MATLAB, or equivalent) and experience with bioinformatics software/tools.
6. Ability to work collaboratively within multidisciplinary teams and with external partners, including academia, industry and healthcare sectors.
7. Strong problem-solving skills, initiative and ability to lead R&D projects independently

8. Effective oral and written communication skills, including the ability to explain complex computational concepts to non-specialized researchers and clinicians.
9. Demonstrated computer literacy and proficiency in producing high-level work using software such as Microsoft Office applications and university specific software, with the ability and desire to learn new packages as appropriate.