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.
Requirements
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.