About the role
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.
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