We are sharing a specialised remote consulting opportunity for experienced Biology, Bioinformatics, and Computational Biology Experts with advanced expertise in biological data analysis, scientific programming, genomics, molecular biology, and quantitative research to contribute their knowledge to AI training and benchmarking initiatives.
Selected professionals will design, review, and evaluate complex biological research problems, computational workflows, and scientific reasoning tasks. The work combines advanced domain expertise with genomic and transcriptomic analysis, proteomics, statistical modelling, bioinformatics software, and reproducible computational research to improve the scientific accuracy and analytical capabilities of advanced AI systems.
Key Responsibilities
Biological Research & Scientific Problem Development
Develop technically rigorous biology and computational biology problems reflecting realistic research scenarios
Analyse complex scientific questions involving molecular biology, genetics, cellular processes, and biological systems
Apply specialised biological knowledge to evaluate research assumptions, experimental methods, and analytical approaches
Design scientific reasoning tasks involving biological datasets, computational methodologies, and quantitative interpretation
Contribute expert-level insights to the development and evaluation of biology-focused AI benchmarking assignments
Genomics, Transcriptomics & Biological Data Analysis
Analyse genomic, transcriptomic, proteomic, and other biological datasets using appropriate scientific methods
Evaluate next-generation sequencing (NGS), RNA-seq, single-cell analysis, and variant-calling workflows
Review data processing pipelines involving sequence alignment, quality control, biological annotation, and downstream statistical analysis
Assess protein structures, molecular datasets, and relevant computational biology applications
Identify methodological inconsistencies, analytical errors, and opportunities to improve biological data interpretation
Bioinformatics Pipelines & Scientific Programming
Develop and evaluate computational workflows using Python, R, and relevant bioinformatics software
Assess scientific software configurations, pipeline parameters, and computational methods for accuracy and reproducibility
Apply appropriate tools such as BLAST, samtools, GATK, Bioconductor, Biopython, or equivalent applications
Review statistical techniques, data transformations, and computational procedures used in biological research
Support the development of reproducible analyses using appropriate scripting, workflow management, and scientific computing practices
AI Training & Computational Biology Evaluation
Design and critique biology-related questions, bioinformatics workflows, and scientific reasoning chains for AI benchmarking
Review AI-generated biological analyses, computational solutions, and scientific explanations for correctness and completeness
Identify errors involving biological assumptions, data interpretation, statistical reasoning, and computational procedures
Develop technically accurate reference solutions supported by established biological principles and reproducible methodologies
Provide structured expert feedback to improve AI performance across genomics, molecular biology, bioinformatics, and computational research
Scientific Validation & Research Documentation
Evaluate biological research methodologies, computational outputs, and statistical conclusions for scientific consistency
Assess workflow reproducibility, software configurations, analytical assumptions, and data quality
Produce clear technical documentation describing research methods, computational procedures, and scientific findings
Communicate sophisticated biological and computational concepts effectively to scientific and interdisciplinary collaborators
Support consistent scientific quality standards, knowledge sharing, and methodological improvement across specialised research assignments
Ideal Profile
PhD in Biology, Bioinformatics, Computational Biology, Genomics, or a closely related STEM discipline, or equivalent industry or research experience
Deep expertise in at least one relevant biological or computational research specialisation
Demonstrated hands-on experience analysing real biological datasets and developing scientifically rigorous interpretations
Strong understanding of biological research methodologies, molecular processes, and quantitative scientific analysis
Expertise in genomics, next-generation sequencing, transcriptomics, single-cell analysis, or related molecular data applications
Alternatively, advanced experience in proteomics, structural biology, molecular and cell biology, or systems biology
Experience in biological network analysis, drug discovery, computational pharmacology, or biostatistics is also relevant
Practical proficiency in Python and/or R for scientific programming, biological data analysis, and computational research
Familiarity with bioinformatics tools such as BLAST, samtools, GATK, Bioconductor, Biopython, or comparable specialised software
Strong statistical, quantitative, and analytical reasoning capabilities
Experience evaluating scientific software configurations, pipeline parameters, and computational results
Ability to assess complex biological datasets, identify methodological inconsistencies, and recommend technically justified improvements
Professional written and spoken English proficiency at C1 level or higher
Excellent written and verbal communication skills, including the ability to explain advanced scientific concepts clearly
Demonstrated track record of rigorous scientific problem-solving in complex biological or computational research domains
Experience developing reproducible computational workflows using Nextflow, Snakemake, or comparable workflow management tools is preferred
Familiarity with Linux, command-line environments, and automated bioinformatics pipelines is advantageous
Experience with AI/ML-assisted biological research, scientific benchmarking, or AI model evaluation is beneficial
Peer-reviewed publications, patents, or contributions to open-source bioinformatics software are advantageous
Strong attention to detail and commitment to accurate, reproducible, and well-documented scientific work
Engagement Details
Freelance / contract engagement
Fully remote — open worldwide
Compensation: $45–$90/hour
50 available openings
Specialised scientific consulting role spanning biology, bioinformatics, computational biology, scientific programming, and AI evaluation
Qualification Requirement: Relevant PhD or equivalent industry or research experience
Language Requirement: Professional English proficiency at C1 level or higher
Work will involve biological problem development, bioinformatics workflow assessment, scientific data analysis, and AI-generated solution evaluation
Relevant specialisations include genomics, transcriptomics, proteomics, molecular biology, systems biology, biostatistics, and computational pharmacology
Assignments will draw on practical experience analysing biological data and evaluating computational research methodologies
Collaboration may involve scientific researchers, computational specialists, and multidisciplinary project contributors
Responsibilities will include technical feedback, scientific documentation, and methodological quality assessment
Work must be completed without using confidential or proprietary information belonging to any employer, client, institution, or other third party
About the Platform
This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.
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