Senior Real World Data Scientist at AstraZeneca

Dublin, Leinster, Ireland -

Full Time

Start Date

Immediate

Expiry Date

20 Feb, 26

Salary

0.0

Posted On

22 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Real World Data, Health Analytics, Statistical Analysis, Machine Learning, Data Science, SQL, R, Python, SAS, Clinical Data Standards, Pharmacoepidemiology, Stakeholder Engagement, Study Design, Data Utilization, EMR, Health IT

Industry

Pharmaceutical Manufacturing

Description

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. In this role, you will focus on Real World Data applications supporting the rare disease portfolio, while maintaining alignment with AstraZeneca best practices and 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 proven track 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 expert 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 strategies Comfortable working in a rapid analytics environment alongside stakeholders to ideate appropriate/impactful analysis along with implementation Provide 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 utilization Monitor work performed by contract personnel and vendors Maintain 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 medicine Demonstrated 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 business Hands-on experience with EMR/Health IT, disease registries, and/or insurance claims databases Experience 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 proven track record of advancing approaches with statistics/machine learning/data science Ability to lead & manage multi-disciplinary data science projects Proficient in SQL Proficient in at least one of R, Python or SAS Date Posted 21-Nov-2025 Closing Date 06-Dec-2025 Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form. For over three decades, patients and their caregivers have been at the center of everything we do. Every day, we are inspired to follow the science and think differently to create better outcomes for them and their families. Our mission is driven by understanding who they are as unique individuals, not solely defined by their diseases. We’re a leading rare disease company with a diversified projects. Our pioneering legacy in rare diseases is rooted in being the first to translate the complex biology of the complement system into transformative medicines over the past three decades. Today, we continue to push the boundaries of science and deepen our understanding of rare diseases with patient-centricity at the core. This knowledge allows us to innovate and evolve into new areas where needs are unmet and provide an opportunity to help people fully live their best lives.

Responsibilities

You will focus on Real World Data applications supporting the rare disease portfolio and work on challenging problems to accelerate the delivery of Real World Insights and Evidence. You will provide methods expertise and support delivery of analyses of real world data to support the business and patient safety.