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Gramian Consulting Group

Biology & Bioinformatics Research Specialist

Quantitative Biology & BiostatisticsPosted on Nov 9
Full-timeNo salary listed

About the Job

Requirements

  • A Master's or PhD in Biology, Bioinformatics, Computational Biology, Genomics, or a closely related STEM discipline is preferred; equivalent professional industry or research experience may also be considered.
  • Deep expertise in at least one relevant biological or computational specialization.
  • Hands-on experience analyzing real biological datasets.
  • Proficiency in Python and/or R.
  • Experience with relevant scientific tools, depending on specialization.
  • Professional written and spoken English proficiency at C1 level or higher.
  • Strong statistical, quantitative, and analytical reasoning skills.

Responsibilities

  • Design, evaluate, and critique biology, bioinformatics, and computational biology workflows for AI benchmarking initiatives.
  • Provide expert insights into genomic, transcriptomic, proteomic, and other biological data analysis pipelines.
  • Assess and optimize computational pipeline parameters, software configurations, and statistical methods.
  • Analyze biological datasets, including Next-Generation Sequencing (NGS) data, RNA sequencing and single-cell datasets, genomic variants and variant calling results, protein structures and proteomics data, and molecular and cellular biology datasets.
  • Evaluate scientific methodologies and AI-generated biological analyses for accuracy, consistency, and reproducibility.
  • Identify analytical errors, methodological limitations, and opportunities for improving computational workflows.
  • Contribute domain expertise to the development and validation of biology-related AI models and tools.
  • Document findings, methodologies, and best practices to support knowledge transfer.
  • Communicate complex scientific concepts clearly to technical and non-technical collaborators.

Desired Qualifications

  • PhD holders with industry experience in software engineering, data science, computational biology, or related technology roles are particularly encouraged.

About the Company

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