
Bioinformatics/Data Scientist
2 days ago
Responsibilities:
- Develop and apply computational methods to analyse diverse biological datasets, including genomics, transcriptomics (bulk, single-cell, and spatial RNAseq) and proteomics data.
- Leverage machine learning and AI to uncover meaningful biological patterns and build predictive models to support target identification and mechanism-of-action studies.
- Collaborate closely with biologists, chemists, and cross-functional scientists to prioritize novel therapeutic targets and biomarkers, design and analyse experiments, and effectively communicate findings through scientific reports and presentations.
- Drive and support collaborations with external partners in computational biology and AI, ensuring alignment with internal priorities and project milestones.
- Stay at the forefront of computational biology and AI developments, proactively implementing new methodologies to improve in-house workflows and enhance EDDC's computational platforms.
Requirements :
- PhD in Computational Biology, Bioinformatics, Computer Science, or a related field, with a strong emphasis on data analytics and machine learning in biological contexts. Minimally 2 years of postdoc experience or equivalent in industry settings.
- Demonstrated experience in multi-omics data analysis (eg. genetics/genomics, bulk, single-cell, and spatial transcriptomics, proteomics, etc.) and the application of machine learning in biological research.
- Proficiency in Python and R, and familiarity with cloud-based and on-premises database services, APIs and workflow development frameworks.
- Excellent communication and collaboration skills, with experience working independently and in multi-disciplinary teams.
- Keen to learn new techniques and adaptable to changing priorities.
- Proficiency in machine learning and AI methodologies for analysing large-scale biological data, with a proven track record of developing predictive models to guide therapeutic development and strategy is an advantage.
- Industry experience in pharmaceutical or biotech companies is an advantage.
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