Our client is growing at pace due to the success of their Industry leading products for clinical trials. We are looking for a creative statistician who understands clinical trials, big data and study performance. You should be interested in statistical modelling and data visualisation too.

The statistician will be involved in working with the Product Development team in the design and development of new releases of my clients market leading risk based monitoring product.

Our client are currently re-building the platform with a view to making the application more comprehensive and build in more statistical monitoring methods. The main role of the Statistician will be to develop statistical models and visualizations that can be used to identify potential data quality issues with subjects, sites and studies.

Areas that we are currently evaluating are:

• Statistical approaches to working with small data sets (that would be applicable to Phase I or II trials)
• Quality tolerance limits - what to measure and how (can we use historical data, considering Kaplan-Meier as one approach
• Subject models - identify subjects that aren't following a 'normal' profile
• Site scoring - right now we are just using a mathematical weighting model but its pretty rudimentary and we'd like to re-visit this
• Fraud detection
• Bayesian models using historical data sets to inform tolerance limits for new studies
• Trend Analysis
• Site comparison models
• Cross study comparison models

Interpersonal Skills

• Self-motivated
• Creative and visionary
• Strong communication, ability to make a positive impact with internal and external stakeholders
• Enjoy working in a small, but growing, results-oriented team
• Ability to take responsibility for the consistency and quality of deliverables

Technical Skills (not exclusive)

• PhD or MSc in Medical Statistics, Statistics or Data Science
• Desirable to have an understanding of Agile software development
• Experience in modeling and regression analysis
• Programming skills ideally in R, Python and SAS
• Experience/interest in application of Machine Learning
• Ability to review clinical protocols and understand the study design and subject visits schedules
• Ability to demonstrate and apply critical thinking to KRI and data visualization design and centralized monitoring implementation
• Understanding of clinical trial data and data structure, particularly from EDC, including CDISC/CDASH and SDTM standards
• Ideally an understanding of other standards in Healthcare such as Snowmed, Bridg, HL7

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