Senior Real World Data Scientist at AstraZeneca

Dublin, Leinster, Ireland -

Full Time

Start Date

Immediate

Expiry Date

27 Aug, 26

Salary

0.0

Posted On

29 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Real World Data, Real World Evidence, SQL, R, Python, Pharmacoepidemiology, Machine Learning, Data Science, EMR, Insurance Claims Databases, ICD9/10, SNOMED, Biostatistics, Epidemiology, Study Design, Health Analytics

Industry

Pharmaceutical Manufacturing

Description

This is what you will do: The Epidemiology and Real‑World Science team in Alexion–AstraZeneca’s Rare Disease Unit accelerates patient access to innovative medicines by advancing the scientific use of Real World Data (RWD). In this role, you will apply RWD to support the rare disease portfolio, aligned with AstraZeneca best practices and standards. Building on AstraZeneca’s strong Real World Evidence (RWE) foundation and internal data assets, the team is expanding through a dedicated Real World Data Science capability. Successful candidates will tackle challenging problems with innovative methods to deliver Real World Insights and Evidence for stakeholders in Clinical Development, Regulatory, and Patient Safety. The ideal candidate is a curious, self‑directed learner with a proven record of deriving value from routinely collected healthcare or observational data, delivering health analytics across Public Health, Pharmaceutical R&D, Commercial/Payer, and Patient Safety. You will provide methods expertise, lead and support analyses of RWD, and guide study design, data source selection, and best practices in RWD utilization, emphasizing patient safety. You will also help shape Alexion/AZ’s RWS data strategy by supporting due diligence on data vendors and offering informatics support for Therapeutic Area data acquisitions. 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 Biostatistics, Epidemiology, Public Health, 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, 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 & handle multi-disciplinary data science projects Proficient in SQL Proficient in at least one of R, Python Date Posted 29-May-2026 Closing Date 11-Jun-2026 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

Apply Real World Data (RWD) to support the rare disease portfolio by delivering advanced secondary analyses and health insights. Provide technical expertise on study design, data source selection, and vendor due diligence to support strategic decisions.