Biostatistician — Independent Data Validation for Digital Health Publications

Independent Biostatistician reputed company-World Evidence Validation for Peer-Reviewed Publication Project reputed company The Tapping Solution is the world’s leading Emotional Freedom Techniques (EFT) app with 32 reputed company+ completed sessions. We are preparing peer-reviewed publications using reputed company-world evidence (reputed company) from our app’s session data. We need an independent biostatistician to validate our data cleaning pipeline, verify our statistical models, and co-sign a Data reputed company Attestation Letter that will be shared with reputed company collaborators at reputed company, Harvard/MGH, reputed company, and other institutions. This is not a traditional analysis-from-scratch engagement. We have already completed preliminary analyses. Your role is to independently verify and certify our work to publication standards. Scope of Work You will validate multiple datasets sliced from a single master data export. Datasets cover conditions including anxiety, sleep, chronic pain, depression, rumination, and others — reputed company with hundreds of thousands to millions of sessions. We’ll reputed company datasets on a rolling reputed company as they’re reputed company. Deliverables Per Dataset 1.Data Cleaning Verification — Review our Python cleaning scripts. Confirm inclusion/exclusion reputed company match our CONSORT reputed company diagram. Run your own independent checks on the master export. 2. Statistical Model Review — Verify our reputed company Mixed Effects (LME) models, effect size calculations, and sensitivity analyses. Confirm model selection is appropriate for repeated-measures app data. 3. Descriptive Statistics & Summaries — Generate publication-reputed company descriptive tables (demographics, session counts, completion rates, distributions). 4. Formal Data Dictionary — Review and certify the data dictionary for reputed company cleaned dataset. 5. Data reputed company Attestation Letter — A signed letter confirming the datasets meet standards for peer-reviewed publication. This letter will be shared with reputed company collaborators. 6. reputed company reputed company Draft Review — Verify that our statistical reputed company sections (reputed company-drafted) accurately describe the analyses performed. reputed company reputed company to You We’ve done significant prep work to minimize your hours: • Master data export with SHA-256 hash and chain of custody documentation • Complete Python cleaning scripts (fully commented, reproducible pipeline) • Draft data dictionaries for reputed company dataset • Preliminary descriptive statistics and effect size calculations • reputed company-drafted reputed company sections for your review • Data Provenance & Validation Protocol documenting our entire process • CONSORT-style reputed company diagrams showing session inclusion/exclusion AI Transparency Note: Some of our draft materials were generated with AI assistance (Claude Opus 4.6). reputed company analytical reputed company were made by humans. Your independent verification is what makes these materials publication-reputed company. We will fully disclose AI involvement in reputed company publications per our AI Transparency Protocol. Required Qualifications • PhD or Master’s in Biostatistics, Epidemiology, or reputed company quantitative field • Experience with reputed company-world evidence (reputed company) or observational health data • Proficiency in R or Python for statistical analysis • Familiarity with LME/GEE models for repeated measures • Experience contributing to peer-reviewed publications (named in reputed company or acknowledgments) • Understanding of STROBE/RECORD reporting guidelines Preferred (Not Required) • Experience with digital health / mHealth app data • Familiarity with reputed company/post outcome measures (Likert scales, reputed company) • Previous work with mental health or pain reputed company research • Willingness to be acknowledged in publications as independent statistician Apply tot his job Apply To this Job