Job Title: KTP Health Data Scientist - KTP Associate
Application Closing data: 10 May 2018
Location: Bath
Salary: £31,000 – £35,000 per annum
Employment type: Fixed-term, Full-time
The job – The aim of this exciting role is for an aspiring statistician to develop, validate and implement statistical models that predict patient engagement and non-attendance, enabling services to deliver more productive and efficient care. This important and challenging Knowledge Transfer Partnership (KTP) is between Mayden Ltd and the Department of Mathematical Sciences at the University of Bath. Working with Mayden’s flagship client management system iaptus, initially designed to capture and report the Improving Access to Psychological Therapies (IAPT) dataset, whilst managing client records and workflow. The project will ensure iaptus has more advanced predictive analytics integrated into the system than any other Digital Care Record.
Throughout the project the KTP Associate will play a key role in managing and implementing strategic development in the business and transferring knowledge between the University and the business.
The company-Mayden provides end-to-end managed web applications to more than 150 clients and specialises in innovative, flexible and cloud-based software solutions for the healthcare sector. Their flagship client management system, iaptus, is used by 70% of NHS Improving Access to Psychological Therapies (IAPT) services. http://www.mayden.co.uk/
The role is full-time, based at Mayden Ltd premises in central Bath, working in a fabulous Georgian Grade I listed building, which retains quirky architectural features, as well as spectacular views of the beautiful World Heritage city of Bath. The University has a well-established relationship with Mayden; the company provides placement opportunities and has a collaborative PhD project with the departments of Mathematical Sciences and Psychology.
The ideal candidate will have:
*A PhD (or equivalent) in statistics, mathematics, computer science or a related field.
*A strong statistical computing and programming background (preferably in R), and practical experience of applying these techniques to devising solutions to real world healthcare problems.
*Proficiency in standard statistical modelling tools (e.g., regression, generalised linear models).
The benefits:
*Personal development budget of £4,667
*Gain valuable experience and marketable, highly transferable skills
*Take early responsibility for a high profile project
*Receive mentoring from the company and an experienced academic team
*Opportunity to gain a professional qualification
*Receive practical and formal management training and development
*Enjoy an excellent chance of a permanent post with the company
For the application and more details: https://www.bath.ac.uk/jobs/Vacancy.aspx?ref=JM5707
For questions about this role email: [log in to unmask]
You may leave the list at any time by sending the command
SIGNOFF allstat
to [log in to unmask], leaving the subject line blank.
|