We are sharing a specialised remote consulting opportunity for experienced Computational Biology and Bioinformatics Experts with advanced expertise in genomic data analysis, transcriptomics, proteomics, scientific programming, and reproducible computational workflows to contribute their scientific knowledge to advanced AI training and evaluation initiatives.
Selected professionals will design, review, and evaluate complex bioinformatics problems, computational biology workflows, and AI-generated scientific analyses. The work combines advanced biological research expertise with next-generation sequencing, statistical modelling, pipeline optimisation, and structured technical evaluation to improve the scientific accuracy, reasoning, and reliability of advanced AI systems.
Key Responsibilities
Computational Biology & Scientific Problem Development
Design technically rigorous bioinformatics and computational biology problems reflecting realistic scientific research scenarios
Apply advanced biological knowledge to evaluate genomic, transcriptomic, and proteomic research questions
Develop scientifically accurate challenges involving biological datasets, computational methods, and analytical interpretation
Assess research assumptions, experimental methodologies, and computational approaches for technical consistency
Contribute specialised scientific expertise to AI benchmarking and computational biology evaluation initiatives
Genomics, Transcriptomics & Biological Data Analysis
Analyse complex biological datasets involving next-generation sequencing, RNA-seq, and genomic variation
Evaluate bioinformatics pipelines for sequence alignment, variant calling, biological annotation, and downstream analysis
Review transcriptomic and proteomic datasets using established computational and statistical methodologies
Assess biological data quality, analytical parameters, and interpretation of computational results
Identify methodological inconsistencies, scientific inaccuracies, and opportunities to improve biological data analysis
Bioinformatics Pipelines & Reproducible Workflows
Develop and evaluate computational biology workflows using Python, R, and relevant scientific software
Assess pipeline configurations, computational parameters, and statistical methods for accuracy and reproducibility
Apply bioinformatics tools such as BLAST, samtools, GATK, Bioconductor, Biopython, or comparable applications
Build and review reproducible research workflows using Nextflow, Snakemake, or equivalent workflow management tools
Work within Linux and command-line environments to evaluate scientific analyses, automated pipelines, and computational processes
AI Training & Scientific Benchmark Evaluation
Design and critique bioinformatics workflows, scientific reasoning tasks, and computational problems for AI benchmarking
Review AI-generated biological analyses, programming solutions, and scientific explanations for correctness and completeness
Identify errors involving biological assumptions, statistical interpretation, computational methodology, and analytical reasoning
Develop accurate reference solutions supported by established biological principles and reproducible scientific methods
Provide structured expert feedback to improve AI performance across genomics, computational biology, and bioinformatics applications
Scientific Validation & Research Documentation
Validate computational workflows, analytical outputs, and scientific conclusions against established research methodologies
Evaluate the statistical reliability, reproducibility, and technical consistency of bioinformatics analyses
Produce clear documentation explaining computational methods, pipeline configurations, and scientific findings
Communicate complex biological and computational concepts effectively to scientific and interdisciplinary collaborators
Support consistent scientific quality standards, methodological improvements, and knowledge sharing across evaluation activities
Ideal Profile
PhD in Bioinformatics, Computational Biology, Genomics, or a closely related scientific discipline, or equivalent industry or research experience
Advanced expertise in computational biology, bioinformatics, genomics, or closely related quantitative biological research
Hands-on experience analysing real biological datasets, including NGS, RNA-seq, or genomic variant analysis
Strong understanding of molecular biology, genetics, computational research methodologies, and biological data interpretation
Practical proficiency in Python and/or R for scientific programming, quantitative analysis, and computational biology
Experience with standard bioinformatics tools such as BLAST, samtools, GATK, Bioconductor, Biopython, or equivalent software
Experience developing reproducible workflows using Nextflow, Snakemake, or comparable tools
Comfort working in Linux and command-line environments for scientific computing and workflow execution
Strong understanding of sequencing data processing, quality assessment, alignment, variant calling, and biological annotation
Experience analysing genomic, transcriptomic, proteomic, or structural biology datasets
Ability to evaluate computational pipeline parameters, software configurations, and statistical methodologies
Strong statistical, quantitative, and analytical reasoning capabilities
Demonstrated experience developing technically rigorous solutions to complex biological research problems
Professional written and spoken English proficiency at C1 level or higher
Excellent written and verbal communication skills, including the ability to document complex scientific methods and explain technical findings clearly
Experience with AI/ML-assisted computational biology workflows, scientific benchmarking, or model evaluation is advantageous
Peer-reviewed publications, patents, or contributions to open-source bioinformatics software are highly valued
Background in single-cell analysis, structural biology, proteomics, or computational drug discovery is beneficial
Strong understanding of reproducible research practices, computational validation, and scientific quality assurance
Exceptional attention to detail and commitment to accurate, well-documented scientific work
Ability to work independently and collaborate effectively with multidisciplinary scientific and technical contributors
Engagement Details
Freelance / contract engagement
Fully remote — open worldwide
Compensation: $45–$90/hour
50 available openings
Specialised scientific consulting role spanning computational biology, bioinformatics, genomics, 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
Technical Requirements: Python and/or R, relevant bioinformatics tools, reproducible workflow development, and Linux/command-line proficiency
Work will involve scientific problem development, genomic and transcriptomic analysis, computational workflow assessment, and AI-generated solution evaluation
Relevant focus areas include NGS analysis, RNA-seq, variant calling, proteomics, structural biology, and quantitative biological research
Assignments will require scientific reasoning, accurate computational methods, technical documentation, and reproducible results
Professionals will contribute to benchmarking and scientific quality assessment through structured technical feedback and methodological review
Collaboration may involve computational biologists, bioinformatics researchers, scientific programmers, and multidisciplinary technical contributors
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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