Head of Clinical Programming, Data Analytics and Reporting
AstraZenecaPoland - warsaw, more...Update time: April 25,2020
Job Description

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. As Head of Clinical Programming, Data Analytics and Reporting, you will play a pivotal role in channeling our scientific capabilities to make a positive impact on changing patients’ lives. Join us and be part of a great place to work; an environment that energizes and empowers each of us to contribute to achieving our goal to develop and deliver life-changing medicines.

Head of Clinical Programming, Data Analytics and Reporting is a key member of the Data Management Leadership Team and is accountable for providing leadership and strategic direction to the clinical programming group and defining the technology landscape for the data management function. This role will be responsible for

  • Leading the clinical programming and analytics strategy that’s aligned with the futuristic data management vision
  • Leading the data review strategy and drive the selection of reporting and data analytics platform in partnership with SEUIT
  • Implementing a roadmap for emerging digital technology and ensuring that state of the art programming approaches are adopted
  • Partnering with the AZ Digital Health team to implement cutting edge technologies including EHR, wearables, virtual clinical trials, clinical control tower etc.
  • Pushing the envelope to continually seek innovative ways to leverage data science and support risk-based data review, effective data collection, implementation of efficient data standards and enabling predictive analytics to make informed decisions
  • Driving automation efforts that will result in efficiencies within data management
  • Liaising with DS&AI team to translate business needs to technical solutions and solve complex problems
  • Setting up a nimble clinical programming organization that can dynamically adapt to pipeline and changing priorities and serve across therapeutic areas
  • Providing leadership, guidance and oversight for clinical programming activities in-house and/or in partnership with CROs and accountable for programming activities including Global Library, Edit Checks, CRF modules and Standard/Custom Reports in support of clinical studies
  • Leading the design, development and implementation of clinical reports and dashboards including but not limited to data status dashboards, missing page reports, patient profile reports, manual checks listings, integration of third party vendor data, real time data review reports etc. to meet stakeholder needs
  • Ensuring strong collaboration with cross functional stakeholders including SMM, SMO, PES, Clinical, Patient Safety, Statistical programming functions and external partners
  • Providing deep domain expertise in setting up and running global operations including EDC adoption, implementation of data standards, data analytics and reporting
  • Collaborating with data management team to ensure appropriate data governance plan is in place to protect data integrity
  • Serving on the data standards board and lead implementation and development of clinical programming and reporting standards

Requirements:

  • Master’s degree in computer science or related field with minimum of twelve years’ experience in clinical data management and programming
  • Extensive experience in Drug Development within a pharmaceutical or CRO environment
  • Proven track record of building, leading and managing successful global teams
  • Demonstrated ability to set and manage priorities, resources, performance targets and project initiatives in a global and regional environment
  • Proven leadership skills promoting motivation and empowerment of others in order to accomplish individual, team and organisational objectives
  • Experienced in navigating ambiguity and delivering innovative solutions to complex problems
  • Ability to identify opportunities, lead and foster cross-functional collaboration and to work across boundaries to increase performance in the end-to-end clinical development value chain
  • Advanced knowledge of clinical database design is necessary (RAVE, Inform, Oracle Clinical or other systems)
  • In-depth experience in reporting tools like Business Objects, JReview, SpotFire, Qlikview and Cognos
  • Knowledge and experience in one or more programming languages such as C#, Python, R, SAS
  • Experience in working successfully and collaboratively with external partners delivering mutual benefit
  • Demonstrated excellent written and verbal communication and influencing skills, negotiation, presentation, knowledge transfer (mentoring), collaboration, problem solving, conflict management and interpersonal skills
  • Advanced degree in data science discipline (desirable)
  • Experience of utilizing standard process improvement methodologies (e.g. Lean Six Sigma) to identify root causes of process issues and identify areas of process improvement (desirable)
  • Demonstrated ability to lead and manage large scale business improvement efforts that adds value to the business (desirable)

Date Posted

24-kwi-2020

Closing Date

14-maj-2020

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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