About Gramian

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

About the Role

We are seeking experienced Biology, Bioinformatics, and Computational Biology Specialists to contribute to a specialized AI training and evaluation project focused on advanced biological research and scientific reasoning.

We particularly welcome candidates with a Master's degree or PhD in a relevant scientific discipline. PhD holders who have transitioned into industry software engineering, data science, computational research, or other technology-focused roles are especially encouraged to apply.

Candidates should have deep expertise in at least one relevant biological specialization and practical experience analyzing real biological datasets. Both research-focused and industry-oriented professionals are welcome.

CONTRACT: Contractor

LOCATION: Remote – US, Canada, Australia, New Zealand, UK, Southeast Asia, and broader APAC.

EDUCATION: Master's or PhD preferred; equivalent relevant experience considered.

ENGLISH: C1 minimum.

PROJECT: AI training and benchmarking in biology and bioinformatics.

AI EXPERIENCE: Not required.

Key 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.
• 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.

Master's or PhD in Biology, Bioinformatics, Computational Biology, Genomics, or a closely related STEM discipline. 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. PhD holders with industry experience in software engineering, data science, computational biology, or related technology roles are particularly encouraged. 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.