Specialized Application CV

Scientific AI Quality & Research Data Specialist

This is the concise document to send for this role family. The master CV is a comprehensive evidence archive; it is normally not attached unless requested.

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Mario Marcolongo

Scientific AI Quality & Research Data Specialist

Scientific evidence review · structured-data quality · provenance verification · research operations

Italy · EU work authorization · Open to worldwide relocation and international B2B contractingmariomarcolongo.com[email protected]LinkedInGitHub

Research-verification and data-quality specialist with eight years of auditable scientific, biomedical and structured-data work. Paid contractor across 59+ documented Entropy for Life projects inside a science-communication brand with 267K YouTube subscribers and 36.5M channel views, plus founder of an open research-participation directory with documented verification and metadata workflows.

Selected evidence

8 yearsAuditable verification workPublic source, citation and structured-data record
55+Research initiatives indexedClinical studies, biobanks, registries and donation programs
59+Published scientific projects55+ YouTube projects · 4 articles · 267K YouTube subscribers
70+Scientific visualizationsBiomedical, epidemiological and public-health evidence

Relevant experience

Founder & Research-Workflow Owner

Yourself to Science™
Website ↗FAIRsharing ↗
Aug 2024 — Present
  • Founded and operate an open-source research-participation directory indexing more than 55 clinical studies, biobanks, donation programs, registries and other initiatives.
  • Defined the inclusion model, verification workflow, provenance fields, licensing structure and machine-readable metadata requirements.
  • Maintain public records through FAIRsharing and Zenodo and coordinate AI-assisted technical implementation through requirements, testing and behavior inspection.

Scientific Research, Fact-Checking & Website Operations Contractor

Entropy for Life · Independent contractor
55+ YouTube projects ↗4 articles ↗Official website ↗
Jun 2023 — Present
  • Verify primary literature and conduct bibliographic research across 59+ documented projects: 55+ YouTube video projects and 4 co-authored articles.
  • Translate complex evidence into editorial recommendations; depending on the assignment, also contribute scripts, data visualizations, slides and on-screen assets.
  • Manage hosting, DNS, SSL, WordPress configuration, technical SEO and functional site changes.
Scientific AI Quality & Research Data SpecialistPage 1 of 2

Additional relevant experience

Scientific Contributor & Structured-Data Editor

Wikipedia, Wikidata & Wikimedia Commons
Public contribution record ↗
Mar 2018 — Present
  • Completed 4,317 auditable contributions across public knowledge and structured-data projects as of July 2026.
  • Check citations, reconcile conflicting sources, improve metadata and create scientific visualizations adopted across four Wikipedia language editions.
  • Published more than 70 empirical biomedical, epidemiological and public-health visualizations across Wikimedia Commons, Tableau Public and Flourish.

Additional evidence

Open research metadata

Linked-data and machine-readable interfaces including JSON-LD, RDF Turtle/VoID, OpenAPI and an MCP server, implemented through AI-assisted technical workflows.

Reproducible ecological data explorer

Built a public protein-supply-by-bodyweight explorer combining FAOSTAT, NCD-RisC and World Bank data with visible assumptions, benchmark caveats and shareable views.

Capabilities

Evidence verificationPrimary-source research, bibliographic search, evidence screening, claim decomposition, source-quality assessment and cross-source corroboration
Data qualityStructured metadata, provenance, entity reconciliation, taxonomy design, validation rules, documentation and quality-control workflows
Open scienceFAIRsharing, Zenodo, Wikimedia, Wikidata, ENA records, JSON-LD, RDF Turtle/VoID, OpenAPI and licensing boundaries
Technical operationsCodebase reading and behavior inspection, requirements definition, functional testing, AI-assisted implementation workflows, Git/GitHub, JSON, REST APIs, WordPress, DNS/SSL and cloud deployment operations
CommunicationTechnical and professional English writing, scientific explanation, editorial feedback and documentation for mixed audiences

Best-fit role families

  • Scientific and biomedical AI quality
  • Research operations and evidence verification
  • Knowledge, metadata and data-provenance quality
  • Human-data operations and domain-expert evaluation

Credentials & language

  • GALENOS Crowd Evidence Synthesis Training — Cochrane Crowd & GALENOS, 2026
  • Career Essentials in Generative AI — Microsoft & LinkedIn, 2024
  • EF SET English Certificate — 68/100, C1 overall, 2024
  • Italian — native. English — C1 overall (EF SET 68/100); advanced technical reading and professional/technical writing.
Mario Marcolongo · [email protected]Page 2 of 2