This is what you will do:

The Epidemiology and Real World Science team is a growing group within Alexion-AstraZenca Rare Disease Unit which is driving the scientific use of Real World Data to accelerate the way that patients access innovative medicines.  This role involves focusing on Real World Data applications that support the rare disease portfolio, while following AstraZeneca's established standards.  AstraZeneca has a rich history in Real World Evidence, having developed a coherent strategy to develop and internalize data assets the group is now amplifying those investments through a dedicated Real World Data Science capability.  Real World Data Scientists who are successful in this role will work on challenging problems, using innovative approaches to accelerate the delivery of Real World Insights and Evidence for key internal and external stakeholders with an emphasis on Clinical Development, Regulatory, and Patient Safety applications.

The ideal candidate for this role will be a curious, self-learner and bring a consistent record of delivering value from routinely collected data from healthcare settings or observational studies to provide health analytics and insights in a range of contexts including Public Health, Pharmaceutical Research and Development and Commercial/ Payer and Patient Safety.

They will provide methods expertise and support delivery of a range of analyses of real world data to support the business and give authority scientific and technical guidance on study design, RW data selection and best practice in RW data utilization with emphasis on patient safety.

In addition, they will assist in advancing and shaping Alexion and AZ’s Real World Science data strategy through supporting  due diligence on new data providers/vendors, informatics support for data acquisitions for Therapeutic Areas.

You will be responsible for:

Deliver/Implement and support advanced secondary analyses of data from EMR, claims and primary observational data required by Therapeutic Area (TA) RWE strategiesComfortable working in a rapid analytics environment alongside stakeholders to ideate appropriate/impactful analysis along with implementationProvide clear technical input, options and directions to support strategic decisions made by AZ observational study teams on study design, data partner selection and best practices in RWE data utilizationMonitor work performed by contract personnel and vendorsMaintain a strong insight into the capabilities of potential external partners in RWE, especially for US and emerging markets.Demonstrate best practice in Real World Data Science across multiple domains, and/or stakeholder groups.

You will need to have:

Minimum of Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or related field with at least 3 years in the pharmaceutical industry, biotechnology, or consulting environment.The duties of this role are generally conducted in an office environment.  As is typical of an office-based role, employees must be able, with or without an accommodation to: use a computer; engage in communications via phone, video, and electronic messaging; engage in problem solving and non-linear thought, analysis, and dialogue; collaborate with others; maintain general availability during standard business hours.

We would prefer for you to have:

This is a hands on role – so be excited to code!Enthusiastic about building on and learning new methods and ways to use real world data to change the practice of medicineDemonstrated ability to build long-term relationships with stakeholders , understand relevant scientific/business challenges at a deep level and translate into a programme of data science activities to deliver value to the businessHands-on experience with EMR/Health IT, disease registries, and/or insurance claims databasesExperience with in clinical data standards, medical terminologies and controlled vocabularies used in healthcare data and ontologies (ICD9/10/SNOMED)Experience in supporting pharmacoepidemiology studies with consistent record of advancing approaches with statistics/machine learning/data scienceAbility to lead & handle multi-disciplinary data science projectsProficient in SQLProficient in at least one of R, Python or SAS

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.