We are seeking a Bioinformatician with a strong background in genomics and transcriptomics, and proven experience with biological ontologies. The successful candidate will analyze outputs from pre-processed biological pipelines and support their integration into a biomedical knowledge graph.
Responsibilities:
Review and interpret genomics and transcriptomics datasets from existing pipelines
Leverage biological ontologies (e.g., GO, DO, HPO) to structure and standardize biological entities
Assist in designing and building components of a biological knowledge graph
Collaborate with computational biologists, data scientists, and software engineers
Document processes and contribute to reproducibility and data governance standards
Qualifications:
MSc or PhD in Bioinformatics, Computational Biology, or a related field
Strong knowledge of genomics and transcriptomics workflows
Experience working with biological ontologies and controlled vocabularies
Familiarity with RDF, OWL, or other semantic web technologies is a plus
Proficiency in Python, R, or similar data analysis tools
Excellent analytical and communication skills
Preferred Experience:
Previous work with knowledge graphs or biomedical data integration
Shubham Vishwakarma
Full Stack Developer - Averlon
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Full Stack Developer - Averlon