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  • Job type

    Temporary
  • Location

    Cambridge
  • Working Pattern

    Full-time
  • Specialism

    Clinical Data Management
  • Industry

    Pharmaceuticals
  • Pay

    Daily Rate
  • Closing date

    12 Apr 2024

AZ currently require an interim statistician on a 12-month assignment.

Location – Remote
Outside IR35
Duration – 12 months

Make a meaningful difference at AstraZeneca!
Bring out the best in each other, and yourself, by working together as one.
When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working give us the platform we need to connect, work at pace and challenge perceptions. That’s why we work, on average, a minimum of three days per week from the office. But that doesn’t mean we’re not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

At AstraZeneca we work together across global boundaries to make an impact and find answers to challenges. We do this with the upmost integrity even in the most difficult situations because we are committed to doing the right thing. We continuously forge partnerships that help pursue world-class medicines in new ways, combining our people’s exceptional skills with those of people from all over the globe.

Responsibilities include:
  • Add value by utilising statistical thinking and contributions to the delivery of studies, development plans, regulatory strategy, health technology assessment and/or commercial activities
  • Direct project work, including statistical staff and/or CRO partners, to ensure delivery to standards, quality and time
  • Develop design options and provide high quality decision support to enable the business to make informed decisions about a study or project
  • Quantify the benefit, risk, value and uncertainty of the emerging asset/product profile
  • Investigate and apply novel statistical approaches, for relevant statistical issues and/or regulatory guidance and/or value demonstration, including modelling and simulation
  • Application of expert skills to investigate, apply novel statistical approaches, for relevant statistical issues and/or regulatory guidance and/or value demonstration, including modelling and simulation
  • Produce pragmatic solutions, often within a tight time scale where the emphasis will be to deliver first, then refine and develop solutions thereafter
  • Contribute to the development of a process improvement and/or capability area within the department
  • Establish and improve standards and best practice, apply novel statistical approaches to increase effectiveness and efficiency
  • Interact with external scientists and represent AstraZeneca Biometrics externally via publications and presentations on novel statistical approaches and best practice
Education, Qualifications, Skills and Experience
Essential:
  • MSc/PhD in Statistics, Mathematics (containing a substantial statistical component), or recognised equivalent to stats MSc
  • Strong knowledge of programming in R and/or SAS
  • Knowledge of the technical and regulatory requirements related to the role
  • Excellent communication skills and ability to build strong relationships
Technical:
  • PhD in statistics or a relevant topic
  • Experience of independent research
  • Delivering innovative statistical solutions in an applied environment

Desirable:
  • Project Management Skills
  • Proficiency in SAS and R/Python languages
  • Knowledge of Bayesian statistics from theory to computation is a plus




We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.
AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.


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