Editorial work, six clear ways.

Regulatory medical writing

CSRs, Investigator's Brochures, IND/NDA submissions and CTD modules for FDA, EMA and MHRA.

Medical communications (MedComms)

Manuscripts, abstracts, posters, medical affairs decks and advisory board materials.

Therapeutic specialisations

Rare diseases & orphan drugs, oncology, neurology, haematology and immunology/rheumatology.

Medical marketing & promotional

Product websites, brochures, sales training and HCP advertising — compliant copy.

Medical education (MedEd)

CME modules, workshops, patient education and disease-awareness materials.

Health Economics & Outcomes Research

Value dossiers, AMCP submissions and real-world evidence narratives for market access.

Other specialised writing

Grant proposals, medical journalism and plain-language summaries of clinical trials.

Software & environments

R (tidyverse, lme4, survival, meta), Python (pandas, statsmodels, scikit-learn, lifelines), SPSS, Stata and SAS — chosen to match your team's workflow, audit requirements and journal expectations.

Descriptive & exploratory analysis

Data cleaning, missing-data diagnostics, Table 1 baseline characteristics, distributional checks and publication-grade visualisation (ggplot2, matplotlib).

Comparative & inferential tests

t-tests, ANOVA/ANCOVA, Mann–Whitney, Kruskal–Wallis, chi-square, Fisher's exact, McNemar — with assumption checks and effect-size reporting (Cohen's d, η², odds ratios with 95% CIs).

Regression modelling

Linear, logistic, multinomial and ordinal logistic regression; Poisson and negative binomial for count data; mixed-effects (GLMM) and GEE models for clustered/longitudinal data.

Survival & time-to-event analysis

Kaplan–Meier estimation, log-rank tests, Cox proportional-hazards (with PH diagnostics), competing-risks (Fine–Gray) and parametric survival models.

Diagnostic & predictive modelling

ROC/AUC, sensitivity, specificity, NPV/PPV, calibration plots, decision-curve analysis, and machine-learning classifiers (random forests, XGBoost, regularised regression) with cross-validated performance.

Meta-analysis & evidence synthesis

Fixed- and random-effects meta-analysis, heterogeneity (I², τ²), subgroup and meta-regression, network meta-analysis and PRISMA-compliant reporting (R: meta, metafor).

Trial & sample-size planning

Power and sample-size calculations, randomisation schemes, interim-analysis plans and SAP (Statistical Analysis Plan) authoring to ICH E9 standards.

Psychometrics & survey analysis

Reliability (Cronbach's α, ICC), exploratory and confirmatory factor analysis (EFA/CFA), item-response theory and structural equation modelling (lavaan, Mplus).

Study design & protocol development

Target trial emulation, retrospective and prospective cohort, case–control, cross-sectional and pragmatic trial designs — with PICOT framing, causal DAGs and pre-registered protocols (ENCePP, OSF).

Real-world data sources

Electronic health records (EHR), claims databases, disease and product registries, patient-reported outcomes (PROs), wearables and linked national datasets (CPRD, HES, SEER-Medicare, Optum, IQVIA).

Data curation & common data models

ETL into OMOP CDM, Sentinel and PCORnet; phenotype algorithm development and validation; data-quality assessment against Kahn framework.

Causal inference & confounding control

Propensity-score matching, weighting (IPTW) and stratification; instrumental variables, difference-in-differences, interrupted time-series and target trial emulation to mitigate confounding-by-indication.

Comparative effectiveness & safety

Active-comparator new-user designs, signal detection, post-authorisation safety studies (PASS) and post-authorisation efficacy studies (PAES) for regulators and payers.

Health economics & outcomes research (HEOR)

Burden-of-illness, cost-of-care, healthcare resource utilisation (HCRU), budget-impact and cost-effectiveness models to support NICE, ICER and AMCP value submissions.

Evidence synthesis & indirect comparison

Systematic literature reviews, network meta-analysis and matching-adjusted indirect comparisons (MAIC, STC) when head-to-head trials are unavailable.

Regulatory & HTA reporting

RWE submissions for label expansions, single-arm trial external controls, conditional approvals and HTA dossiers — with STaRT-RWE, RECORD and STROBE-aligned manuscripts.