Medical Statistician / Statistical Programmer

University of Oxford; Oxford; Presencial; GBP 42.000 - 62.000; Jornada completa

Descripción de la vacante

University of Oxford is seeking a Medical Statistician/Statistical Programmer to join the Cancer Epidemiology Unit (CEU) within the Nuffield Department of Population Health. You will work on large cohort studies such as EPIC and EPIC-Oxford, linking data with NHS records and preparing datasets for analysis.

The role focuses on data management, organising electronic health records and laboratory data, and performing survival and logistic regression analyses to support research publications.

Formación

• Graduate degree or equivalent in medical statistics, statistics, health data science or a quantitative subject with training in statistical analysis and study design.
• Experience with NHS-linked data and preparing epidemiological data for analysis, including survival analysis and logistic regression.
• Proficiency in Stata and/or R; experience using SQL and relational databases to manage large datasets.
• Excellent attention to detail, well-documented coding, and ability to work both independently and collaboratively.
• Strong communication and organisational skills; understanding of epidemiological concepts and study designs.
• Experience with biobank, biomarker, dietary or omics data is advantageous.

Responsabilidades

• Link and manage large epidemiological datasets and prepare data for analysis.
• Carry out statistical analyses, primarily survival and logistic regression.
• Prepare tables, figures and reports for research projects and publications.
• Develop and maintain research databases, incorporating electronic health records, questionnaire data and laboratory results.
• Possibly work with biomarker and omics data and contribute to peer-reviewed publications.

Conocimientos

Attention to detail

Communication

Organisational skills

Independent and collaborative work

Educación

Graduate degree in medical statistics or quantitative subject

Herramientas

Stata

R

SQL

Relational databases

Descripción del empleo

Medical Statistician / Statistical Programmer

We are seeking a Medical Statistician/Statistical Programmer to join the Cancer Epidemiology Unit (CEU), within the Nuffield Department Of Population Health at the University Of Oxford. You will work closely with statisticians, epidemiologists and other colleagues on large prospective cohort studies investigating lifestyle, dietary, hormonal, molecular and genetic factors in relation to cancer and other common non-communicable diseases.

The post focuses on linking and managing large epidemiological datasets, preparing data for analysis, and carrying out statistical analyses. You will work particularly with the EPIC study and EPIC-Oxford, which links cohort data with NHS records of cancer registrations, deaths and hospital admissions. You will also support EPIC-Oxford 2, a new study building on the cohort. Your work will include managing research databases; incorporating electronic health records, questionnaire data and laboratory results; deriving disease outcomes from coded health data; and preparing datasets for cohort and nested case-control studies. You will analyse data, mainly using survival and logistic regression, and prepare tables, figures and reports for research projects and publications. There may also be opportunities to work with biomarker and omics data.

You will hold a graduate degree, or have equivalent experience, in medical statistics, statistics, health data science or another quantitative subject, with training in statistical analysis and epidemiological study design. You will have experience working with routinely collected electronic health records and preparing epidemiological data for analysis, including survival analysis and logistic regression. You will also be proficient in Stata and/or R, and have experience using SQL and a relational database system to manage large datasets. Excellent attention to detail, clear and well-documented coding, and the ability to work independently and collaboratively are essential, as are strong communication and organisational skills.

An understanding of epidemiological concepts and study designs, experience working with NHS-linked data under information governance requirements, or experience with biobank, sample-tracking, biomarker, dietary or omics data would be an advantage. Experience contributing to peer-reviewed publications and designing databases would also be beneficial.

The post is full-time (although part-time is considered) and fixed term for 2 years. The closing date for applications is noon on 16 November 2026.

Tagged as: Life Sciences