
Biology and Bioinformatics Research Specialist – MSc/PhD
Posted 11 hours ago

Posted 11 hours ago
This is a fully remote position, open to applicants in United States, +4 more countries.
• Design, evaluate, and assess workflows in biology, bioinformatics, and computational biology for AI benchmarking projects.
• Offer expert knowledge on genomic, transcriptomic, proteomic, and various biological data analysis pipelines.
• Review and enhance computational pipeline parameters, software settings, and statistical techniques.
• Analyze biological datasets, which include NGS data, RNA sequencing and single-cell datasets, genomic variants and variant calling results, protein structures, and proteomics data, as well as molecular and cellular biology datasets.
• Appraise scientific methodologies and AI-generated biological analyses for precision, consistency, and reproducibility.
• Detect analytical inaccuracies, methodological constraints, and areas for improvement in computational workflows.
• Contribute specialized knowledge to the creation and validation of AI models and tools related to biology.
• Record findings, methodologies, and best practices to facilitate knowledge transfer.
• Convey intricate scientific ideas effectively to both technical and non-technical team members.
• Master's or PhD in Biology, Bioinformatics, Computational Biology, Genomics, or a closely related STEM field.
• Equivalent professional experience in industry or research may also be taken into account.
• Extensive expertise in at least one relevant biological or computational area.
• Practical experience in analyzing actual biological datasets.
• PhD graduates with industry experience in software engineering, data science, computational biology, or similar technology roles are especially encouraged to apply.
• Proficient in Python and/or R.
• Familiarity with pertinent scientific tools, depending on area of specialization.
• Professional proficiency in written and spoken English at C1 level or higher.
• Strong skills in statistical analysis, quantitative reasoning, and analytical thinking.
• Competitive salary and performance-based bonuses.
• Comprehensive health and wellness benefits.
• Opportunities for professional development and continued education.
• Collaborative and innovative work environment.
• Flexible work arrangements and work-life balance initiatives.
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