BACKGROUND

RESPONSIBILITIES

• Leading and supporting information exploitation activities including integration, innovative technology solutions and analytics, essential for R&D decision-making.
• Exploiting pre-clinical and clinical trial data to enable evidence-based decision making and biological and scientific interpretation
• Produce, analyze, interpret and evaluate critical information for drug projects and/or functional groups (e.g. Therapy Areas)
• Merge external and internal information to derive business insights
• Developing reports and other visual representations to support data-driven decision making
• Earning the trust and respect of drug project teams of IMED and GMD functions
• Providing business analysis support for platform projects or programmes
• Working with software developers / architects to rapidly and iteratively develop tools for priority projects
• Work independently as well as collaborate with other informatics scientists to deliver informatics solutions
• Contributing to the development of new capabilities, algorithms, tools and services that support scientists across R&D
• Concurrent handling of multiple projects, and coordination of projects into a programme area where appropriate
• Identifying external collaborative opportunities and, as required managing such collaborations to deliver maximum value to AZ
• Building knowledge and expertise of the pharmaceutical industry and informatics trends.
• Ensuring that work is performed according to internal and external policies.

REQUIREMENTS

• Bachelors degree in a Life Science, Computer Science or equivalent area
• Strong evidence of applying innovative informatics solutions which have impacted real business and science decisions
• Significant experience in pharmaceutical (or equivalent) informatics settings
• Experience in one or more scientific domains (e.g. Biology, Pharmacology, Toxicology, Chemistry, Translational Science, Clinical Science, Healthcare, etc.)
• Significant experience of data analytics. Ability to work with complex data sets and manipulate data in order to support decision making in response to scientific and operational questions.
• Experience of utilizing visualisation tools and techniques to facilitate interpretation and decision making (e.g. commercial tools like Spotfire, QlikView, Tableau, or techniques like D3, R/Shiny etc.)
• Expertise in one or more informatics or information science capabilities, e.g. text mining, data & information visualisation, business/competitive intelligence, data mining, data modelling, data integration
• Excellent communicator - Good written and oral communication skills with fluent English verbally and in writing
• Great facilitation skills with the ability to work with others to achieve objectives
• Extremely professional, customer friendly and amenable
• High degree of Influencing and Innovation skills

PREFERENCES

• PhD or MSc in biomedical or clinical informatics, computer science, engineering or a related discipline
• Scientific domain knowledge and experience in at least one of the following therapeutics areas: Oncology, Neuroscience(CNS/Pain), Cardiovascular, Gastrointestinal, Infection, Respiratory & Inflammation
• Programming/scripting awareness, skills or experience (e.g. Perl, Python, UNIX shell, Excel VBA, Pipeline Pilot, R, SAS etc.)
• Recognised informatics expert by external community (both within and beyond the pharmaceutical industry)
• Familiarity with key Information Science sources (both academic and commercial)
• Diverse systems and platforms experience, including Unix/Solaris, Windows, client/server, databases, cloud computing, etc.
• Experience of working in global information delivery or tool development projects.

LOCALE

COMPENSATION

HOW TO APPLY

DEADLINE