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 Role
Amanda DarekarPfizerChair
Jessica KendallCTRU, University of LeedsMSc subteam, social media
Emma CrawfordParexelMSc subteam
James Lay-FlurrieGSKMillennium maths project, German CALC
Katharine ThornGSKSchools subteam
Ian RatcliffeIQVIAMSc subteam, social media
Rachael LoftusGW PharmaBSc subteam
Rhian JacobRocheBSc subteam
Shiv MakadiaAmgen (placement student)Schools subteam, social media
Xinyi ZhuGSKMSc subteam
Abeera MohammadAmgenSchools subteam
Amy Phillips-JonesGSK
BSc subteam

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

A PSI ToxSIG webinar - Big Data, Data Science, AI and other buzzwords: What does the Data-Driven Hype mean for Pharmaceutical Analytics?

The last 15 years has seen a massive shift in the role of data and analytics, driven by the increased hype around big data, data science, machine learning and AI. This presents both challenges and opportunities for analytic teams. This webinar will strip back the hype to look at what these buzzwords really mean, and talk about the impact this is having on the role, remit and operating model of analytic teams in the life sciences industry.

PSI New Starters Half-Day Networking Event

An opportunity to meet statisticians from across the pharmaceutical industry in a relaxed and informal setting. An exciting program of events and a chance to work in small groups on a data analysis challenge. Lunch provided.

A PSI Training Course - Practical Approaches to Designing Adaptive Clinical Trials

This hands-on course will provide a deep dive into 4 software packages used to design adaptive clinical trials. The course will start by providing a general overview of adaptive designs, explaining the different type of adaptations possible and the benefits of each design. Following this, participants will be given the opportunity to have a go at designing trials in R (using RPACTS), EAST, FACTS, and nQuery.

PSI Training Course - Bayesian Practical Course using R and SAS

This practical training course will give a deep dive into performing Bayesian analyses in R and SAS. It is aimed at statisticians who need to be able to conduct Bayesian analyses as part of their day to day work. By the end of the course participants will be able to conduct their own analyses.

Medical Statistics Careers Event 2020

Our annual PSI Medical Statistics Careers Event, will be held at the De Montfort University in Leicester on Wednesday 4th March 2020.

A PSI Training Course - R for SAS Users

This course is aimed at Statisticians and Programmers experienced in SAS, but little or no experience with R. An Introduction to R studio and the R language, statistical graphics, programming statistical models, simulations and more…

Introduction To Industry Training Course 2020

The ITIT course will take 25 delegates new to the industry on a complete drug development experience from discovery to marketing. They will visit 6 companies from October 2020 to July 2021 to learn about 6 topics from experts in their field. The ITIT course will have 6 sessions in continental Europe and 3 - 4 sessions in the UK. It promises to be a truly memorable course.

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