Biology & Bioinformatics Research Specialist (PhD) - AI Projects

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 a Biology and Bioinformatics Research Specialist with doctoral-level expertise or equivalent research experience to support projects focused on training and benchmarking next-generation AI systems. You will design, evaluate, and improve biological data analysis workflows, validate computational methods, and assess AI-generated scientific outputs for accuracy and reproducibility. Working across areas such as genomics, transcriptomics, proteomics, computational biology, and biostatistics, you will apply rigorous scientific reasoning to real biological datasets and communicate findings clearly to technical and scientific collaborators. Prior AI experience is not required; deep domain expertise and hands-on computational research skills are the priority. SENIORITY: PhD-Level Research Specialist / Experienced Researcher LANGUAGE: Professional English — C1 or higher TARGET LOCATIONS: US and Canada are our top priorities, followed by the UK, Australia, and NZ. We're open to candidates worldwide as long as they meet the C1 English level. Key Responsibilities Design, evaluate, and critique biology, bioinformatics, and computational biology workflows for AI benchmarking initiativesReview genomic, transcriptomic, proteomic, and other biological data analysis pipelines for scientific accuracy and reproducibilityAssess and optimize pipeline parameters, software configurations, and statistical methodsAnalyze biological datasets, including next-generation sequencing (NGS), RNA-seq, single-cell data, variant-calling outputs, and protein structuresValidate computational approaches and provide actionable recommendations to improve scientific reliabilityApply domain expertise to guide the development and evaluation of biology-focused AI models and toolsDocument methodologies, findings, limitations, and best practices to support reproducible research and knowledge transferCommunicate complex scientific concepts clearly to both technical and non-technical stakeholders Areas of Expertise Candidates should have deep expertise in at least one of the following areas: Genomics and next-generation sequencing (NGS) analysisTranscriptomics and single-cell analysisProteomics and structural biologyMolecular and cell biologySystems biology and biological network analysisDrug discovery and computational pharmacologyBiostatistics and machine learning applied to biology Requirements PhD in Biology, Bioinformatics, Computational Biology, Genomics, or a closely related STEM field, or equivalent industry or research experienceProfessional written and spoken English proficiency at C1 level or higherDeep expertise in at least one relevant biological or computational research areaHands-on experience analyzing real biological datasetsProficiency in Python and/or R for scientific analysisExperience with relevant tools and libraries, such as BLAST, samtools, GATK, Bioconductor, or Biopython, depending on the candidate's specializationStrong statistical, quantitative, analytical, and scientific reasoning skillsExcellent written and verbal communication skills, including the ability to explain technical methods and document resultsDemonstrated ability to solve complex biological or computational problems rigorously