Engaged Statistician for Data Sciences & Quantitative Biology

Are you a curious and driven Statistician or Data Scientist? Would you like to join us on our journey where your unique statistical and quantitative skills will have a profound impact on R&D? If yes, this position at AstraZeneca might be your next challenge!

We have an exciting opportunity to join our Data Sciences & Quantitative Biology department as a Senior Statistician based at AstraZeneca in Gothenburg, Sweden. The team is made up of passionate statisticians, bioinformaticians, machine learning specialists and image analysts. We are part of the Discovery Sciences function that applies deep technical expertise in specialist technologies to support the delivery of targets and molecules to the early AstraZeneca pipeline. We work collaboratively towards a common goal, pushing the boundaries of science, by applying our quantitative skills to complex biological problems to deliver new medicines to patients.

Learn more about our Data Sciences & Quantitative Biology department here: https://pages.beamery.com/astrazeneca/page/quantitativebiology or watch our DS & QuBi film to get to know the team better: A Life-changing day - Meet our Quantitative Biology team at AstraZeneca

What you will do:
You will play an important role in our greater organisation by applying your statistical knowledge to drug discovery projects in a variety of collaborative project teams.

As a Senior Statistician you will work with a problem-solving attitude and a perceptive approach to:

* Identify and deliver solutions to address key biological questions using quantitative approaches
* Build and internalize appropriate algorithms and techniques to answer biological questions
* Develop and implement statistical learning models
* Contribute to and lead projects
* Engage with external collaborators via publications and presentations

Essential in the role:
We believe that your focus is set on solving challenging biological problems through partnerships. You are a specialist in your field, and you know that the best results are achieved by utilizing the strengths of every individual.

You should also:

* Be an agile communicator that can explain complex statistical methods to scientists with different levels of statistical knowledge.
* Experience in data analysis and knowledge of some of the following areas: experimental design, linear/nonlinear models, Bayesian methods, statistical learning/AI and modelling.
* Programming experience with tools such as R, Shiny, Julia, Stan or similar.
* PhD or equivalent in statistics, mathematics, data science or similar.

To be successful in this role, you enjoy operating in a multi-disciplinary research environment. You like teamwork, have a collaborative nature and will be an encouraging colleague to all.

Why AstraZeneca?
Thrive in a place where the brightest and most curious minds seamlessly come together in our inclusive environment. Here we are committed to making a difference in patients' lives. We have built our business around our passion for science, and now we are fusing data and technology with the latest scientific innovations to achieve the next wave of breakthroughs.

So, what's next? If you want to be a part of pushing the boundaries of science together with us - apply today!

We look forward to learning more about you. Please send in your application as soon as possible - but no later than 14th May, 2023.

For more information about the position please contact the hiring manager Peter Konings, peter.konings@astrazeneca.com.

Additional information:
Our Gothenburg site: https://www.astrazeneca.com/our-science/gothenburg.html
Life in Gothenburg: https://www.movetogothenburg.com/
AstraZeneca R&D: https://www.astrazeneca.com/r-d.html

#DS&QuBi