Real-World Data Analyst/Statistician Oxford, England
Job description
Who you are…
You’re an early-career statistician and/or data scientist who’s proficient in R, with working knowledge of database management solutions such as Python and SQL.
Your background is in clinical, healthcare, health services, or pharmaceutical research, and when we talk about the intricacies of statistical analysis plans and quality control logs, you’ll know exactly what we mean. But this is an early-career role: we aren’t expecting you to be an expert on every little statistical thing. You want this role because of how much you’ll learn very quickly.
You’ve got some experience in managing research datasets, ideally complex ones. This has given you the necessary knowledge about data manipulation and statistical analyses, data quality checking and cleaning, and working in a data management setting.
You’ve got an interest in real-world (observational) studies and patient-focused research projects that involve collecting data from patients and carers as well as clinical data. You like working on exciting, diverse projects that involve cutting-edge technology…and a lot of creative thinking as a result.
What you’ll do…
You’ll get involved in a range of activities, including:
- Working closely with the Associate Directors of Analytics to support the analytics across all of our studies.
- Being a go-to person for data management and processing, providing technical and analytical expertise.
- Providing support for producing, reviewing, and quality controlling project requirements and other documentation, including statistical analysis plans, data specifications, and study protocols.
- Publishing results of studies and contributing to the writing and publishing of scientific presentations.
- Providing support for technical audits and ensuring continued compliance with required company training, time reporting, and other business/operational processes.
- Ensuring all Analytics team processes are followed, with the view of all work being auditable and suitable for regulatory submissions.
- Keeping on top of developments in data technologies, analytics, methods, and systems.
- Being knowledgeable about data protection issues.
- Being able to write software programs, for example, to extract data from databases and to clean data (using SQL, R, Python, Java).
- Managing your workload, including developing and following process documents that sit within the Analytics team.
Essential skills and experience…
- MSc (with 1+ years of experience) or PhD (with 1+ years of experience) in Statistics, Biostatistics, Data Science, or another demonstrably relevant field.
- Proven knowledge of the R environment.
- Demonstrated high degree of technical competence and effective communication skills, both oral and written.
Desirable skills and experience…
-
Good knowledge of any of the following:
- RStudio
- Python
- SQL
- Java
- Stata
- Experience-based knowledge of the pharmaceutical industry, directly or through, e.g., academic roles, or roles with developers, manufacturers, or in consulting, and related evidence development.
- Knowledge of experimental and real-world study design, descriptive statistics, inferential statistics, statistical modeling, and statistical programming.
- Knowledge of methodologies for handling missing data, confounding, and bias, among other challenges, within observational studies.
- Experience of working in a regulatory setting.
