Contract/Duration: Permanent – Part Time 0.5FTE
Closing Date: 23:45pm on Sunday 17th of May
Summary of Post
The Senior Biostatistician will provide independent, high level statistical leadership to the RCSI Department of Obstetrics & Gynaecology, supporting a diverse portfolio of clinical, translational, and population-based research. The post holder will act as the primary statistical expert within the academic department, leading study design and analysis, shaping research strategy, and ensuring the highest standards of methodological rigour in maternal and women’s health research.
Specifically, the duties of the post are:
Statistical Leadership and Independence
Act as the lead biostatistician for the Department, providing independent expert advice
Take ownership of the statistical integrity of multiple concurrent research projects
Proactively identify methodological risks and propose appropriate solutions
Serve as a senior methodological partner to principal investigators and MD/PhD candidates
Study Design and Methodological Expertise
Lead the statistical design of complex studies including clinical trials, large cohort studies, registries, and secondary data analyses
Develop and approve statistical analysis plans (SAPs) and data management plans (DMPs) for studies
Advise on advanced study designs, adaptive trials, and innovative analytical approaches where appropriate
Provide expert input into national and international grant applications
Advanced Data Analysis
Independently conduct and oversee sophisticated statistical analyses relevant to Obstetrics and Gynaecology research
Apply advanced methods such as regression modelling, longitudinal modelling, survival analysis, causal inference, multilevel modelling, and prediction modelling
Ensure reproducible, transparent, and well‑documented analyses
Advise on appropriate use and interpretation of real‑world data, routinely collected clinical data, and linked datasets
High-level proficiency in at least one major statistical programming package (e.g. R, Stata, SAS, SPSS)
Interpretation, Reporting, and Publication
Collaborate with senior clinicians to interpret findings in a clinically meaningful and policy‑relevant context
Take a leading role in the statistical sections of manuscripts, high‑impact publications, and reports
Ensure compliance with international reporting standards (e.g. CONSORT, STROBE, PRISMA, TRIPOD)
Contribute as a co‑author on peer‑reviewed publications arising from departmental research
Qualifications – (Essential):
Education and Training
Masters or Doctoral degree (PhD or equivalent) in Biostatistics, Statistics, Epidemiology, or a closely related quantitative discipline
Formal training in clinical research methods and statistical theory relevant to medical and health sciences
Professional Experience
Substantial post‑doctoral or equivalent professional experience (typically 5+ years) delivering independent statistical support in an academic, clinical or industry setting
Demonstrated experience working autonomously, managing multiple projects and prioritising workload without day‑to‑day supervision
Proven track record of leading statistical components of complex research studies from design through to publication
Academic Output and Impact
Demonstrated record of peer‑reviewed publications as a statistical collaborator or lead methodologist
Experience contributing to manuscripts, reports, and abstracts for national and international conferences
Ability to critically appraise statistical methods in the published literature
Knowledge & Experience – (Essential):
Clinical Trials and Research Governance
Provide senior statistical oversight for investigator initiated and multicentre clinical trials
Support trial governance activities, including contribution to Trial Steering Committees and Data Monitoring Committees
Ensure analyses comply with regulatory, ethical, and Good Clinical Practice (GCP) standards
Lead or contribute to interim analyses and final trial reporting
Mentorship and Capacity Building
Provide senior‑level mentorship and guidance to MD/PhD candidates and research staff
Deliver statistical training for academic staff, postgraduates, and clinical trainees
Promote best practice in statistical methodology and research integrity across the department
Strategic and Collaborative Contribution
Contribute to departmental research strategy and development of new research themes
Build and maintain collaborative links with external academic and clinical research groups
Support the development of funding pipelines in maternal and women’s health research
Represent the department in inter‑institutional or national research initiatives as required
Ethics, Data Governance, and Research Standards
Advise on statistical considerations for ethics and regulatory submissions
Ensure adherence to institutional data protection, data sharing, and governance policies
Champion reproducibility, transparency, and open science where appropriate
We are all too aware that imposter syndrome and the confidence gap can sometimes stop fantastic candidates putting themselves forward, so please do submit an application — we’d love to hear from you.
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