Statistician

Technical Operations, Science & Innovation (TOSI) team

Hays Life Sciences is now looking to recruit a Statistician to join the Technical Operations, Science & Innovation (TOSI) team for a 6-month contract assignment with the possibility of an extension at AstraZeneca in Södertälje, Gothenburg or to work remotely anywhere in Sweden.

Make a meaningful impact on people's lives with life-changing medicines!

Join the team where everyone feels a personal connection to the people that we impact. From our science labs to manufacturing at scale, we are committed to delivering at the highest quality.

It's inspiring and rewarding work, influencing every part of the product lifecycle to deliver life-changing medicines. To ultimately make people's lives better - from patients and their families to all of us in society.

In Operations, we have a big ambition - to deliver more medicines to patients, quicker and more affordably! Backed by the investment, leadership, and a clear plan to get there, we bring personal dedication and out of the box thinking.

This role is placed in Technical Operations, Science & Innovation (TOSI), which is part of the Pharmaceutical Technology & Development (PT&D) organisation. TOSI provides the expert technical support for AstraZeneca commercial products. It is a multi-skilled organisation providing technical support and expertise relating to drug product formulation, manufacture, process engineering, statistics, modelling, devices, and testing.

You will be part of a global organisation in constant development where you will play a significant role in creating an organisation prepared for future challenges. This is a great development opportunity to experience Global technical support activities across sites, while at the same time growing the use of statistical skills that make a difference to the quality and delivery of medicines to patients.

What you'll do
As a Statistician, you will assist in expanding the supply of medicines to existing and new markets through the provision of statistical support to formulation and analytical technology transfers, including process establishment, process validation, process capability assessments and equivalence testing.

Your contribution will ensure the continuous supply of medicines through advising on approaches and providing statistical knowledge in support of market access and Brexit related activities.

In addition, you will;
Be part of a cross platform statistical community, providing technical support across TOSI
Provide support for the resolution of issues through data assessment and analyses to understand relationships and root causes
Identify and help drive quality and improvement activities

Essential requirements

* BSc with a significant statistical/mathematical component or equivalent experience
* Commitment to your on-going personal development in the field of Statistics
* User of at least one statistical package e.g. Minitab, SAS, R
* Understanding and practical application of key statistical concepts e.g. descriptive statistics, statistical distributions, sampling strategies and sample size determination, equivalence and significance tests including analysis of variance and covariance techniques, DOE
* Application of Statistical Process Control e.g. trending, capability analysis for manufacturing data
* Application of exploratory data analysis and regression/correlation techniques for exploring relationships within manufacturing/scientific datasets
* Production of appropriate graphs and figures for highlighting features and trends within manufacturing/scientific datasets
* Preparation of technical reports describing data analysis including appropriate use of tables and visualisations
* Evidence of excellent communication skills and relationship building with customers

Desirable Skills

* MSc Statistics
* 6 Sigma green/black belt or equivalent experience
* Experience in support of GMP manufacturing and testing environments e.g. Clinical or commercial batch production
* Experience in support of regulatory interactions and responses