Senior Statistician Contract

Company : Healthminds Consulting

Job Type : Full Time

Bengaluru, India

Number of Applicants

:

000+

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Job Description - Senior Statistician Contract

Senior Statistician – Contract

Contract Duration: 6 months (Extendable Based on Project Requirements)

Location: Remote / Hybrid / On -site (as applicable)

Position Overview:

We are seeking an experienced Statistician with demonstrated expertise in supporting Original Research Articles, Narrative Reviews, Systematic Literature Reviews (SLRs), Meta -Analyses, and Network Meta -Analyses (NMAs) through robust statistical planning, evidence synthesis, and quantitative analysis.

The candidate will be responsible for end -to -end statistical support, including feasibility assessment, analysis planning, data validation, meta -analysis execution, NMA modelling, and interpretation of analytical findings.

Key areas of expertise should include:

• Statistical support for original clinical and observational research

• Systematic Literature Reviews (SLRs)

• Pairwise Meta -analysis

• Network Meta -analysis (NMA)

• Indirect Treatment Comparisons (ITC)

• Meta -regression and sensitivity analyses

• Heterogeneity assessment and interpretation

• Publication bias assessment

• Consistency and transitivity assessment in NMA

• Statistical Analysis Plan (SAP) development

• Data validation and analysis -ready dataset preparation

• Generation of forest plots, funnel plots, network diagrams, league tables, rankograms, and SUCRA rankings

• Statistical interpretation for manuscripts, reports, and publications

Technical expertise:

• R (mandatory) • STATA (preferred) • Experience with Bayesian and/or Frequentist NMA frameworks • Experience with WinBUGS, OpenBUGS, JAGS, or equivalent platforms is desirable

Experience:

• Minimum 5+ years of experience in biostatistics, epidemiology, HEOR, or evidence synthesis

• Demonstrated experience independently conducting Meta -analysis and Network Meta -analysis projects

• Publication support experience preferred

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