Biology & Bioinformatics Research Specialist (MSc/PhD)

Gramian Consulting Group

18h • Remote

About The Position

Gramian Consultancy is seeking experienced Biology, Bioinformatics, and Computational Biology Specialists for a specialized AI training and evaluation project focused on advanced biological research and scientific reasoning. Candidates should have deep expertise in at least one relevant biological specialization and practical experience analyzing real biological datasets. Research-focused and industry-oriented professionals are welcome, with particular encouragement for PhD holders who have moved into software engineering, data science, computational research, or other technology-focused roles. A Master's degree or PhD is preferred, although equivalent relevant experience may be considered. The project involves AI training and benchmarking in biology and bioinformatics; prior AI experience is not required. The role is remote and open to candidates in the US, Canada, Australia, New Zealand, the UK, Southeast Asia, and broader APAC.

Requirements

• A 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.
• Proficiency in Python and/or R.
• Professional written and spoken English proficiency at C1 level or higher.
• Strong statistical, quantitative, and analytical reasoning skills.
• Experience with relevant scientific tools, depending on specialization.

Nice To Haves

• A PhD in a relevant scientific discipline.
• Industry experience in software engineering, data science, computational biology, or related technology roles, particularly for PhD holders.

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 data, RNA sequencing and single-cell datasets, genomic variants and variant calling results, protein structures and proteomics data, and 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 to improve 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.

What This Job Offers

• Career Level: Mid Level