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    Opportunity: Associate Principal Informatician (2 positions) -- Big Data Analytics (#R&D15-3) @ AstraZeneca -- Global
    Submitted by AstraZeneca; posted on Wednesday, January 30, 2013



    AstraZeneca is a global, innovation-driven, integrated biopharmaceutical company. We employ over 57,000 people and have a presence in over 100 countries across six continents. Our mission is to make a meaningful difference to patient health through great medicines that bring benefit for patients and add value for our stakeholders and society.

    Role Description:
    AstraZeneca R&D Information organization is seeking a talented Big Data informatics scientist to provide advanced Big Data Analytics support to R&D activities across all therapeutics areas and phases of the drug discovery and development pipeline. The role requires close interaction with scientific drug discovery teams and informatics colleagues to generate and test data-driven hypotheses, involving advanced experimental data and working on research projects that will make a real difference for patients.

    The successful candidate will be a key member of the global informatics team, providing Big Data Analytics solutions for Translational Science, Next Generation Sequencing and Health Outcome Research. In particular, the position requires understanding of the detailed Big Data scientific questions the drug teams are facing and the ability to make active contributions to their solution. These contributions involve the gathering of large scale scientific data from internal sources and the public domain, the manipulation, integration and statistical or empirical analysis of these data, including modeling and simulation. This requires the command of a suite of technical skills such as the knowledge of databases and search engines, algorithm development, advanced statistical analysis, machine learning, visualization tools, and the ability to quickly create research-grade programs and scripts.

    In addition, the successful candidate is expected to be adaptable, support a range of scientific projects in parallel, effectively advocate for Big Data informatics solutions to scientists, be on top of and participate in external Big Data informatics developments, and support related platform and capability development in the larger R&D information organization. The role holder will have the opportunity to develop a close working relationship with R&D Project Teams and Central IS functions, experiencing first hand the multidisciplinary interactions required for successful drug R&D.


    Key Responsibilities:
    • Responsible for the delivery of Big Data analytics solutions to drug R&D teams
    • Maintain a trusting and productive relationship with the customer, gaining a thorough understanding of the science.
    • Implement and employ Big Data informatics approaches such as database queries, text mining, machine learning, modeling and simulation, natural language processing, web crawling, and web services
    • Integrate and summarize large scale data and information across multiple domains, for example, genomics (NGS), proteomics information, network pharmacology data, business intelligence and health outcome data.
    • Digest complex data structures, perform statistical data reduction, summarization, normalization, multivariate data analyses and report findings using advanced visualization techniques such as Spotfire, Tableau, Partek or similar applications.
    • Present and discuss findings with project teams and other informaticians, support iterative solutions development and scientific research, specifically in cross functional and external collaborations.
    • Stay updated on industry best practices and drive the adoption of novel approaches and methods in the field of Big Data within the scientific and the informatics community.
    • Follow core project management practices, such as project justification, initiation, stakeholder communication and delivery.
    • Coach and develop colleagues in best practice and skills development and expertise in the tools and techniques critical to Big Data Informatics within AZ.
    • Contribute to the overall Big Data Informatics strategy and architecture.
    • Present to internal and external scientific communities on Big Data informatics solutions, best practices and scientific approaches, including external scientific publication.


    Education, Qualifications, Skills & Experience:
    • Proven experience in the field actively employing Big Data Analytics expertise
    • A Bachelors degree focusing in mathematics/statistics/machine learning or equivalent
    • Post-graduate qualifications (MS/PhD) in applied Big Data Analytics or equivalent experience
    • Programming skills using scripting languages such as Perl, Python, PHP, Unix shell or pipelining tools
    • Knowledge of information systems, technology, media and databases available for information provision and manipulation serving biological, chemical and medical information
    • Deep understanding of statistical concepts, algorithms and data processing and visualization and experience processing and analyzing large multivariate data sets
    • Experience with algorithm development, data mining, Natural-Language Processing (NLP), machine learning and artificial intelligence
    • Experience of using R/Matlab/SAS or similar data analysis applications
    • Excellent communication skills and facilitation skills with the ability to work with others to achieve objectives


    • Prior experience in the pharmaceutical or biotech industry in drug R&D projects either in an informatics role or interacting with information scientists
    • Good scientific awareness of the particular disease areas with some academic training or experience in molecular and cell biology and genetics
    • Expertise in Next Generation Sequencing (NGS) platforms, workflow and integrated data analysis
    • Strong knowledge of SQL, web programming and database development
    • Experience of a wide array of systems and platforms, including Unix, Windows, client/server architectures, service oriented architecture, databases, etc.
    • Experience in the use of semantic technologies to query unstructured data
    • Experience of working in global Big Data information delivery / informatics projects


    Type: Permanent
    Number of Positions: 2


    St Petersburg [Russia], Cheshire [North-West England], Waltham [Massachusetts, USA], Wilmington [Delaware, USA], Mölndal [West Sweden], Osaka [Japan], Shanghai [China]


    Rate: Competitive


    To apply for this job please go to[...]59240

    Reference: R&D15-3

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