Biology & Bioinformatics Research Specialist (MSc/PhD)

Job description

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.