Research Assistant - Health Data & FAIR Data Stewardship

Описание вакансии

компания "datagroup qazaqstan"

purpose of the role
support 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 grаntapplications (horizon europe, national science funds)
• english

Метки