
Protein Biologist
2 weeks ago
We are a leading research group in proteogenomics and artificial intelligence, dedicated to exploring the dark proteome. Our pioneering efforts focus on identifying and characterising small Open Reading Frames (smORFs), once thought to be non-coding but now recognised as critical regulators of fundamental biological processes.
Microproteins represent an exciting frontier in molecular biology, with recent discoveries revealing their crucial roles as master regulators across multiple biological systems. These previously overlooked molecules are essential for orchestrating metabolic regulation and energy homeostasis, modulating inflammatory signalling pathways and immune responses, and influencing cardiac function and disease progression.
This role is at the intersection of basic science and translational medicine, with direct implications for improving human health.
Your Key Responsibilities:
- Develop 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 include a 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, and a strong publication record in computational biology or related fields.
About Us:
We are a renowned research team at the forefront of proteogenomics and artificial intelligence, driving innovative solutions to improve human health. Our lab is passionate about discovering novel microproteins encoded by the dark proteome, with a focus on translating our findings into practical applications.],
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