We are sharing a specialised part-time consulting opportunity for bioinformatics and single-cell genomics professionals experienced in scanpy, scvelo, squidpy, gudhi, single-cell RNA-seq analysis, trajectory inference, spatial transcriptomics, topological data analysis, Python scientific computing, and benchmark evaluation workflows.

This role supports current and upcoming remote consulting opportunities focused on bioinformatics problem design, scientific software evaluation, single-cell analysis workflow development, Python-based validation, and high-quality project execution. Selected professionals will design challenging research-grade computational problems, create precise expected outputs, develop validation logic, and refine task difficulty based on structured calibration feedback.

Key Responsibilities

Professionals in this role may contribute to:

Bioinformatics & Single-Cell Problem Design

• Design original graduate-level computational problems grounded in real bioinformatics and single-cell genomics workflows
• Create tasks involving single-cell RNA-seq analysis, trajectory inference, spatial transcriptomics, multi-omic integration, or topological data analysis
• Develop problems around cell-type annotation, pseudotime ordering, spatial variable gene identification, persistence-based analysis, or analysis pipeline interpretation
• Design tasks that require precise outputs from fully specified computational setups as well as strategic reasoning about partial observations and hidden structure in data

Scientific Software & Analysis Workflow Evaluation

• Work with scanpy, scvelo, squidpy, gudhi, or related specialized bioinformatics software tools
• Create problems that require sophisticated use of domain-specific libraries rather than surface-level biological knowledge alone
• Evaluate whether tasks require genuine computational biology reasoning, methodological judgment, and careful interpretation of outputs
• Identify edge cases, software limitations, pipeline artifacts, or reasoning traps that make a problem genuinely challenging

Python-Based Validation & Benchmark Calibration

• Write Python problem setups, oracle functions, and solution validators
• Refine tasks through calibration feedback until the difficulty reaches the target range
• Create structured evaluation materials that support reproducible scoring and consistent review
• Maintain technical accuracy, reproducibility, and clear documentation across submitted task materials

Ideal Profile

Strong candidates may have:

• Graduate-level expertise in bioinformatics, computational biology, single-cell genomics, genomics, systems biology, biomedical data science, or a closely related STEM field
• MS, PhD, or equivalent research experience in a relevant domain
• Hands-on experience using scanpy, scvelo, squidpy, gudhi, or other specialized bioinformatics tools in real research workflows
• Strong Python programming skills for scientific computing, validation logic, and task setup
• Experience writing code that calls scientific software libraries to solve actual research problems
• Ability to understand software edge cases, pipeline limitations, and what makes a problem genuinely difficult
• Comfort working independently and iterating on problem designs based on feedback
• Ability to work in Linux, terminal-based environments, or remote compute sandboxes

Educational Background

• MS, PhD, or equivalent research experience in bioinformatics, computational biology, genomics, single-cell biology, biomedical data science, systems biology, molecular biology, statistics, or a related technical field is preferred
• Research publications, open-source contributions, professional scientific software work, or applied computational biology experience are highly relevant
• Experience designing or validating single-cell analysis pipelines may be especially valuable

Nice to Have

• Experience across multiple bioinformatics tools, single-cell methods, or computational biology domains
• Familiarity with benchmark design, evaluation design, calibration workflows, or technical task validation
• Background in scientific pedagogy, exam design, problem-set creation, or graduate-level technical assessment
• Experience with computational reproducibility, containerized environments, remote compute, or research software packaging
• Availability for approximately 15–20 hours per week depending on project scope

Why This Opportunity

• Apply bioinformatics and single-cell genomics expertise to structured remote scientific problem design work
• Contribute to high-quality benchmark tasks involving scanpy, scvelo, squidpy, gudhi, Python workflows, and single-cell analysis
• Work on flexible assignments aligned with your computational biology background and scientific software experience
• Use your ability to design rigorous, strategic, research-grade computational problems
• Remote structure with competitive hourly compensation

Contract Details

• Independent contractor role
• Fully remote with flexible scheduling
• Eligible professionals may be based in approved project locations depending on project needs
• Expected commitment of approximately 15–20 hours per week depending on project availability
• Competitive rates between $60–$90 per hour depending on expertise and project scope
• Weekly payments via Stripe or Wise
• Projects may be extended, shortened, or adjusted depending on scope and performance
• Work will not involve access to confidential or proprietary information from any employer, client, or institution

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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