
Biology & Bioinformatics Research Specialist, MSc/PhD
Posted 21 hours ago

Posted 21 hours ago
This is a fully remote position, open to applicants in Thailand.
• Design, assess, and critique workflows in biology, bioinformatics, and computational biology aimed at AI benchmarking initiatives.
• Offer expert insights into the analysis pipelines for genomic, transcriptomic, proteomic, and other biological data.
• Evaluate and optimize parameters of computational pipelines, software settings, and statistical techniques.
• Conduct analyses on datasets related to NGS, RNA sequencing, single-cell studies, genomic variants, protein structures, proteomics, molecular biology, and cellular biology.
• Assess scientific methodologies and AI-generated biological analyses for their accuracy, consistency, and reproducibility.
• Identify analytical mistakes, methodological constraints, and avenues for enhancing computational workflows.
• Provide domain expertise in the development and validation of biology-focused AI models and tools.
• Document findings, methodologies, and best practices to facilitate knowledge transfer.
• Articulate complex scientific concepts effectively to both technical and non-technical stakeholders.
• A Master's degree 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.
• In-depth expertise in at least one pertinent biological or computational specialty.
• Practical experience in analyzing authentic biological datasets.
• Candidates with a PhD and industry experience in software engineering, data science, computational biology, or similar technology roles are especially encouraged to apply.
• Proficiency in Python and/or R programming languages.
• Familiarity with relevant scientific tools based on specialization.
• Professional proficiency in written and spoken English at a C1 level or above.
• Strong skills in statistical analysis, quantitative reasoning, and analytical thinking.
• Competitive salary and performance-based incentives.
• Opportunities for professional development and continuous learning.
• Collaborative work environment with a focus on innovation.
• Flexible working hours and potential remote work options.
• Access to cutting-edge technology and resources.
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