Are you a curious and enthusiastic Statistician? Would you like to join us on our journey where your contributions will have a profound impact on R&D using the latest statistical methods? If yes, we have the position for you!
We see you as our new Statistician in our Data Sciences & Quantitative Biology department, based at AstraZeneca in Gothenburg, Sweden. The team you will join is built up of statisticians, bioinformaticians, machine learning specialists and image analysts. In this position you will be a part of our Discovery Sciences function that applies deep technical expertise in specialist technologies to support the delivery of targets and molecules to the early AstraZeneca pipeline.
As a dedicated BioPharmaceuticals R&D organisation, we accelerate promising early-stage assets and lifecycle management programmes. From discovery to late-stage development, we always follow and push the boundaries of science. At AstraZeneca, we’re also committed to being a Great Place to Work and there is no better place to make a difference to medicine, patients and society. An inclusive culture that champions diversity and collaboration. Always committed to lifelong learning, growth and development.

WHAT YOU WILL DO?

You will get the opportunity to apply your statistical knowledge to collaborate with researchers in a variety of project teams. To be successful in this you have a problem-solving attitude and a perceptive approach.

We will rely on you to:

• Identify and deliver solutions for addressing key biological questions by using statistics
• Build and internalize appropriate algorithms and techniques to answer biological questions
• Develop and implement statistical learning models
• Expand knowledge of quantitative biology capabilities across R&D
• Contribute to and lead local and global projects
• Engage with external collaborators via publications and presentations

ESSENTIAL IN THE ROLE

• Excellent interpersonal skills, especially when communicating statistical concepts to non-statisticians.
• Experience of working in a pre-clinical statistics team in an industry setting
• Expert in statistical data analysis
• Expert domain area knowledge of at least two of the following areas:
• experimental design,
• linear/nonlinear models,
• Bayesian methods, and
• statistical learning/artificial intelligence
• Programming experience with tools such as R, Shiny, Julia, Stan or similar
• PhD in statistics, mathematics, data science or similar
  We believe that your focus is set on solving challenging 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. The successful candidate has the ability to operate effectively in a multi-disciplinary research environment. You enjoy teamwork, have a collaborative nature and will be an encouraging colleague to all.