Note: The job is a remote job and is open to candidates in USA. Crossing Hurdles is seeking a Biological Data Scientist to support AI benchmarking initiatives. The role focuses on evaluating and optimizing computational biology workflows, analyzing biological datasets, and guiding the development and validation of biology-related AI models and tools.
Responsibilities
- Design, evaluate, and critique bioinformatics and computational biology workflows to support AI benchmarking initiatives
- Provide expert-level insights on genomic, transcriptomic, and proteomic data analysis pipelines
- Assess and optimize pipeline parameters, tool configurations, and statistical methods for accuracy and reproducibility
- Analyze biological datasets and provide actionable recommendations
- Leverage domain knowledge to guide the development and validation of biology-related AI models and tools
- Communicate complex scientific concepts clearly to technical and non-technical collaborators
- Document findings, methodologies, and best practices to ensure knowledge transfer
Skills
- PhD in bioinformatics, computational biology, genomics, or a closely related field, or equivalent industry/research experience
- Professional written and spoken English (C1 or higher)
- Hands-on experience analyzing biological data
- Proficiency in Python and/or R for scientific analysis, plus experience with standard bioinformatics tools
- Experience building reproducible workflows with tools such as Nextflow or Snakemake
- Strong statistical, quantitative, and analytical reasoning skills
- Outstanding written and verbal communication abilities
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