Where we work
Qi Statistics Ltd was established in 1989 by Anne Hasted to offer statistical consulting and training services to research and industry. We have a team of four graduate statisticians and between us we have nearly a hundred years of experience in a wide range of industries.
We have been involved across the globe in projects for major corporations and are one of the world’s leading providers of statistical support for sensory and consumer applications.
We support new product development by training engineers and scientists in statistical methods for Design of Experiments, Quality Control and Statistical Process Control, and support business management by training and applying statistical techniques to corporate data.
Our core team
Anne started her career as an academic statistician in the Department of Applied Statistics at the University of Reading, leaving to set up Qi Statistics in 1989. She has a broad range of experience in industry (particularly in food, petrochemicals and packaging) and is a recognised expert on applications of statistical methods in the field of sensory and consumer research. She is co-developer with Hal Macfie of a successful programme of “hands on” training courses for sensory and consumer researchers which are recognised worldwide. Anne now co-owns Qi with Gemma and holds the position of Senior Consultant.
Gemma has worked as a statistician, project manager, trainer and business consultant for over 20 years across a wide variety of projects within large and small multidisciplinary teams. Gemma has an MSc in Medical Statistics, was a statistician and a global project manager at Pfizer, before joining Takeda Global R&D as a principal statistician in 2006. Since joining Qi in 2012, Gemma’s business background and excellent statistical and communication skills are invaluable to our clients wanting to maximise information for competitive advantage from their data. Gemma co-owns Qi with Anne and is the Director of Qi Statistics.
Ian began his statistical career in food research and has worked for Qi Statistics since 2001. He has vast expertise in applying a wide range of statistical methods to client data, particularly in the areas of multivariate analysis and experimental design. Ian is also a developer of statistical software and has created bespoke analysis solutions for clients as well as developing the commercial packages Design Express, SenPAQ, OptiPAQ and TURFPAQ the TURF calculator. Ian is a specialist SAS programmer with experience in predictive modelling and mapping techniques.
Thierry previously worked at OP&P Product Research, Utrecht where he was a consultant statistician working in sensory and consumer science. Thierry also specialises in “R” programming and is the primary developer of our web software for sensory and consumer analysis ‘EyeOpenR’. Thierry has published over 20 scientific papers and notes in his field and is fluent in French, English and Dutch. Thierry joined the Qi team in 2012 to complete a balanced statistical service covering a wide range of industries and application areas.
Mary was Principal Statistician at Astra Zeneca before joining Qi and has significant experience in analysing data and statistical methods. Mary has an MSc in Statistics and another in Pure Mathematics, and is also an experienced software developer using R, SAS and modern development tools.
Karen is the company administrator without whom we could not function. She deals with all our software orders and invoicing, and manages the office as well as carrying out data entry projects for our clients. Karen has all the important information about the Qi business at her fingertips and is often the first point of contact for all our clients questions.
We also have a team of experienced associates who we work with closely to manage peaks in demand. The associates are all experienced and educated to degree standard and have good communication skills, to ensure no compromise on quality consultancy. Any associate work will always be overseen by a member of our core team.
Where we work
We have worked face-to-face with clients across the globe as shown in the map. We are happy to travel to give face-to-face training or consultancy support and are often travelling to far flung places to make return trips to visit clients. However we also use the latest technologies to provide virtual support and training with fast internet connections and the latest conferencing software. We are truly a global company!
Our current positions are advertised on our ‘Careers page’ when we have openings, however, Qi Statistics are always keen to hear from enthusiastic statisticians, analysts or programmers who would be interested in working with us on a part-time or full time basis, so just get in touch.Who are we?
- we specialise in providing statistical services and analytics to a wide range of industries and are one of the world’s leading providers of consultancy and training to the sensory and consumer market.
- we pride ourselves in delivering high quality customer-focused services including advanced statistical methods and predictive analytics.
- as a small and successful company we do not have the red tape, inflexibility and meetings burden of larger organisations.
- we are real people, working to provide real workable solutions to add value to businesses.
The role of the Statistician at Qi:
Our statisticians are involved in analysing data from a range of different companies and industries, and producing reports often to customer specification. There are opportunities for varied work as the need arises, such as face-to-face client meetings, analysing data in a variety of software packages, bespoke software validation or writing and delivering training.
We operate a virtual office environment enabling individuals to work from home, with the use of the latest technology for sharing data and files. Occasionally there may also be some client site visits or team face to face meetings may be required, so access to public transport or a car is essential.
To register your interest for any future roles, please contact us at email@example.com
(No agencies please.)