Careers and Academic Liaison

Chair: Amanda Darekar

The objectives of the Careers and Academic Liaison Committee (CALC) are to promote careers for statisticians and programmers within the pharmaceutical industry, through school and university activities and establishing links with relevant professional groups. By working directly with schools and universities, and via our external Careers website, we provide information to individuals interested in careers as either statisticians or statistical programmers within the industry.  Our activities include: 
  • Developing and running interactive workshops for schools
  • Giving careers talks at universities
  • Attending and organising regional and national careers events
  • Raising awareness of general issues such as cuts to MSc funding and changes to A level mathematics and statistics curriculum
  • Working with other organisations such as the Royal Statistical Society (RSS)

We are always on the lookout for people to help with our initiatives, for example running a workshop in a school, giving a university careers talk or writing a profile about working in the industry. If you are interested in becoming involved in any of our activities and can spare even just a little bit of time, please get in touch with any of the committee.

If you have any careers related questions please feel free to contact us at careers@psiweb.org.

Meetings

The committee meet 4 times a year to discuss current topics and agenda items.  

Composition

NameCompany, CountryRole
Amanda DarekarPfizer, UKChair
Katie ThornGSK, UKSchools subteam
Heather WhiteAmgen, UKSchools subteam, Website (placement student)
Rhian Jacob-MoffattRoche, UKMEDMathS, University Prizes
Stella ZhanUniversity of Warwick, UKMEDMathS, Student Newsletter
James Lay-FlurrieBayer, UKMEDMathS
Emma CrawfordMSD, UKCareers Event, Communications Liaison
Jessica Kendall
CTRU, University of Leeds, UKCareers Event
Alexander ToddAZ, UKCareers Event
Lizzi PittUniversity of Bath, UKCareers Event
Tomas RouseAZ, SwedenWebsite
Alicia AylottGSK, UKStudent Newsletter

Committee Resources

Committee resources can be found here. 

Public Resources

CALC maintains a Careers website and a Schools/Education website, which contain information and resources for use by schools, universities and individual students.

Upcoming Events

PSI VisSIG Wonderful Wednesday Webinar Series

This is a good opportunity to develop your knowledge by thinking through a practical example, practicing how to apply graphics principles, and developing your coding skills.

PSI Training Course: Hybrid Frequentist / Bayesian Power and Bayesian Power in Planning Clinical Trials

Aimed at Statisticians working on the design of Clinical Trials, participants will learn how to use Expected Power, Average Power, Predicted Power, Probability of Success and Assurance, and Bayesian Power when planning clinical trials.

PSI Book Club

PSI are running a book club! We will be reading and discussing non-technical books which are relevant to our roles.

PSI Training Course: An Interactive Introduction to Agile Ways of Working

During this session you will explore how we best execute change within our roles, build your practical understanding of agile tools and techniques, and inspire you to experiment with the new ways of working to deliver your goals.

PSI Careers - MEDMathS: Medicine Empowered by Data, Maths and Statistics

In just 1 hour, learn about the field of medical statistics and how it plays a crucial role in developing ground-breaking new medicines, vaccines and healthcare products.

Latest Jobs

Apprentice Biostatistician

The Apprentice Biostatistician splits their time between working for Parexel and performing studies with a university to obtain a MSc in Statistics over a period of three years.

Biostatistician / Statistical Programmer

We are actively looking to expand our team in Wokingham with a permanent position for a Biostatistician / Statistical Programmer.

Research Associate

Are you interested in prevention, diagnosis and treatment of infectious diseases and the application of modern and innovative statistical methods?