Senior Statistician

1 week ago


UK, UK, United Kingdom AstraZeneca Full time

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.


This Biostatistics Contractor is a delivery focused role working under the leadership, oversight and direction of assigned AZ Supervisor, responsible for activities relating to design, delivery and interpretation, preclinical studies, regulatory submissions and/or commercialisation. The position requires sufficient experience working as a statistician in the pharmaceutical industry, to be able to independently perform and/or lead statistical work within a study, multiple studies, indication, or be recognised as a methodology expert. This individual is able to support and/or lead work either in house or partnering externally to ensure delivery to standards, quality and time.


Duties:


May serve as a supporting or lead statistician for a study, multiple studies, indication within a project (potentially as a Global Product Statistician) or a project-level activity, such as a regulatory or payer submission, responsible for statistical elements of the design, analysis, interpretation and/or reporting,

Quantifies the benefit, risk, value and uncertainty of the emerging asset/product profile,

Develops design options and provides high quality deliverables to support the business in making informed decisions,

Contributes to statistical methodology advances by identifying new opportunities, investigating and applying novel statistical approaches, including modelling and simulation,

Ensures high quality is built into own and other statisticians’ deliverables,


Required Background

MSc/PhD in Statistics or Mathematics (containing a substantial statistical component) with experience in pharma industry

Good SAS programming skills

Thorough knowledge of the technical and regulatory requirements related to the role

Experience in the study and/or program design, development, data analysis and interpretation, as well as regulatory interactions and/or submissions

Ability to proactively manage concurrent activities within a study or project

Ability to apply novel statistical methods to problem solving

Ability to manage relevant documentation


Desirable

Phase I to III experience



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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