Biology & Bioinformatics Research Specialist (PhD) - AI Projects

About the role

Gramian Consultancy, a boutique consultancy in IT professional services and engineering talent solutions, is looking for a Biology and Bioinformatics Research Specialist with doctoral-level expertise or equivalent research experience. The role supports projects focused on training and benchmarking next-generation AI systems, working across genomics, transcriptomics, proteomics, computational biology and biostatistics. Candidates are expected to work in English at C1 level or higher, with target locations being the US and Canada, then the UK, Australia and New Zealand.

Key responsibilities

• Design, evaluate and critique biology, bioinformatics and computational biology workflows for AI benchmarking initiatives.
• Review genomic, transcriptomic, proteomic and other biological data analysis pipelines for scientific accuracy and reproducibility.
• Assess and optimize pipeline parameters, software configurations and statistical methods.
• Analyze biological datasets, including NGS, RNA-seq, single-cell data, variant-calling outputs and protein structures.
• Validate computational approaches and recommend improvements to scientific reliability.
• Guide the development and evaluation of biology-focused AI models and tools.
• Document methodologies, findings, limitations and best practices to support reproducible research.
• Communicate complex scientific concepts clearly to technical and non-technical stakeholders.

Required profile

• PhD in Biology, Bioinformatics, Computational Biology, Genomics or a closely related STEM field, or equivalent industry or research experience.
• Deep expertise in at least one of: genomics and NGS analysis, transcriptomics and single-cell analysis, proteomics and structural biology, molecular and cell biology, systems biology, drug discovery and computational pharmacology, or biostatistics and machine learning applied to biology.
• Hands-on experience analyzing real biological datasets.
• Strong statistical, quantitative, analytical and scientific reasoning skills, and excellent written and verbal communication.

Required skills

• Proficiency in Python and/or R for scientific analysis.
• Experience with tools such as BLAST, samtools, GATK, Bioconductor or Biopython, depending on specialization.