Research Assistant - Health Data & FAIR Data Stewardship

Описание

Purpose of the roleSupport the preparation of medical and health-informatics publications for Scopus/WoS-indexed journals, and make the underlying research data FAIR — Findable, Accessible, Interoperable, Reusable — from collection through deposit and citation. Responsibilities Literature and evidence – Search and screen literature in PubMed/MEDLINE, Embase, Cochrane Library, Scopus, Web of Science – Build reproducible search strings; run systematic or scoping reviews following PRISMA – Screen titles/abstracts and full texts in Rayyan or Covidence; document inclusion/exclusion – Extract data into structured evidence tables; assess risk of bias (RoB 2, ROBINS-I, QUADAS-2, GRADE) – Draft Background and Related Work sections Clinical data work – Prepare, clean, and validate clinical datasets (EHR exports, registry data, trial CRFs, imaging metadata) – De-identify and pseudonymize patient data in line with GDPR/HIPAA and local regulations – Map data to common standards and terminologies: OMOP CDM, HL7 FHIR, ICD-10/11, SNOMED CT, LOINC, DICOM – Run statistical analysis (R, Python, SPSS, Stata): survival analysis, regression, diagnostic accuracy, sample size and power calculations – Produce publication-quality figures, forest plots, flow diagrams, and tables FAIR data stewardship – Write and maintain Data Management Plans (DMP) using DMPonline or funder templates – Create rich metadata using DataCite, DCAT, schema.org, and domain schemas; apply MIABIS/CDISC where relevant – Assign and manage persistent identifiers (DOI, ORCID, ROR); ensure correct data citation – Deposit datasets and code in appropriate repositories: Zenodo, Dryad, PhysioNet, EGA, dbGaP, figshare, institutional repositories – Apply controlled vocabularies and ontologies (SNOMED CT, LOINC, MeSH, HPO, OBO Foundry) for interoperability – Define access conditions and licensing (CC BY, CC0, controlled-access DUAs); document provenance – Evaluate datasets against FAIR maturity indicators (FAIRsharing, F-UJI, FAIR Evaluator) and remediate gaps – Maintain reproducible analysis pipelines and version control (Git, renv/conda, Docker); publish code with a DOI Manuscript and submission – Draft Methods and Results; edit and proofread the full manuscript in academic English – Apply the correct reporting guideline: CONSORT, STROBE, PRISMA, STARD, TRIPOD, CARE, SPIRIT – Format to the target journal's template, word limits, and reference style (Vancouver/AMA/APA) – Run plagiarism and AI-detection checks; improve originality – Identify target journals; verify quartile, scope, APC, and turnaround times – Prepare cover letter, highlights, graphical abstract, author contribution (CRediT), COI and data availability statements – Submit via Editorial Manager, ScholarOne, or OJS; track status and prepare response-to-reviewer letters – Register studies and protocols where required (ClinicalTrials.gov, PROSPERO, OSF) Ethics and compliance – Prepare IRB/ethics committee submissions, consent forms, and amendments – Maintain audit trails, data processing records, and Data Use Agreements – Ensure compliance with institutional, national, and funder open-science mandates Requirements – Master's degree or higher in medicine, public health, epidemiology, biostatistics, bioinformatics, health informatics, or data science – Experience writing or co-authoring at least 1–2 peer-reviewed papers in a health-related field – Working knowledge of FAIR principles and research data management practice – English at B2+ with confident academic reading and writing – R or Python for statistical analysis; comfortable with Git – Familiarity with clinical terminologies and at least one data standard (FHIR, OMOP, or DICOM) – Zotero/Mendeley; LaTeX or Word journal templates – Meticulous with detail, reliable with deadlines, able to work independently Nice to have – Publications in Scopus Q1–Q2 journals – Certification or formal training in data stewardship (CODATA/RDA, ELIXIR, GO FAIR) – Experience with systematic reviews or clinical trial data – GCP certification – Experience with grant applications (Horizon Europe, national science funds) – English