Protein Data Analyst

2 weeks ago

Singapore beBeeComputational Full time $90,000 - $120,000

Be a part of cutting-edge research in proteogenomics and artificial intelligence at the forefront of understanding novel microproteins encoded by the dark proteome. Our team is dedicated to pioneering efforts in identifying and characterising small Open Reading Frames (smORFs) that once thought to be non-coding are now recognised as critical regulators of fundamental biological processes.

Job Description

Our team focuses particularly on unveiling the roles of these small yet powerful regulators in metabolic disorders and cellular energy metabolism, investigating their involvement in chronic inflammation and inflammatory diseases, and exploring their potential as therapeutic targets in cardiovascular disease. This research sits at the intersection of basic science and translational medicine with direct implications for improving human health.

Responsibilities
  • Develop and implement innovative computational pipelines integrating ribosome profiling (Ribo-seq), transcriptomics, and metabolomics data
  • Apply and enhance existing smORF identification tools while developing novel AI-driven approaches to predict functionally important microproteins
  • Lead the computational analysis of multi-omics datasets to prioritise disease-relevant microprotein candidates
  • Design prediction models to identify microproteins involved in metabolism, inflammation, and heart disease
  • Collaborate with wet-lab scientists to validate computational predictions and refine prediction models
  • Contribute to the development of new algorithms for improved microprotein detection and functional annotation
  • Participate in commercialisation activities and innovation development
  • Present findings at international conferences and prepare manuscripts for high-impact publications
Requirements
  • Ph.D. in Bioinformatics, Computational Biology, Computer Science, or related field
  • Strong programming skills in Python, R, or similar languages
  • Experience with next-generation sequencing data analysis, particularly Ribo-seq
  • Proficiency in statistical analysis and machine learning methods
  • Demonstrated ability to develop and maintain computational pipelines
  • Strong publication record in computational biology or related fields
Benefits

We offer a dynamic and collaborative work environment with opportunities for professional growth and development. You will have access to cutting-edge technologies and resources, and the chance to contribute to groundbreaking research that has the potential to make a significant impact on human health.

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