Find Data scientist, Jobs in Dublin, D

Real World Data Scientist
Alexion Pharmaceuticals,Inc. —Dublin, County Dublin
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ResMed —Dublin, County Dublin
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Scaled Customer Engineer, SMB, Artificial Intelligence
Google —Dublin, County Dublin
- €64,000–€66,000 a year
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Optum —Dublin, County Dublin
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Amazon Development Centre Ireland Limited —Dublin, County Dublin
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Senior AI Engineer
Mastercard —Dublin, County Dublin
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AI Project Manager (R-19384)
Dun & Bradstreet —Dublin, County Dublin
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Quick apply
Senior Product Manager, AI / ML Solutions
Optum —Dublin, County Dublin
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AI Product Manager
iCIMS Talent Acquisition —DUBLIN 2, County Dublin
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Vice President Data Science
Optum —Dublin, County Dublin
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Sirius XM —Dublin, County Dublin
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Senior QA Automation Engineer (AI-First)
News Corp —Dublin, County Dublin
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AI Software Engineer II (R-19524)
Dun & Bradstreet —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
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- Master's degree
- Annual leave
Quick apply
13d
AI Architect (R-18541)
Dun & Bradstreet —Dublin, County Dublin
- Full-time
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Quick apply

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Real World Data Scientist

Alexion Pharmaceuticals,Inc. -
Dublin, County Dublin

Apply Now

Job details

Qualifications

R
Master's degree
SQL
EMR systems
Data collection
Communication skills
Python

Full job description

Location: Dublin, Ireland Job reference: R-234868 Date posted: 07/10/2026

This is what you will do:

The Epidemiology and Real World Science (RWS) 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 support the application of RWD across 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 growing through a dedicated Real World Data Science capability.

In this role, you will contribute to solving challenging problems using innovative methods to deliver Real World Evidence for stakeholders with a focus on Clinical Development, Regulatory, and Patient Safety. The ideal candidate is a curious, self-directed learner eager to develop expertise in deriving value from routinely collected healthcare or observational data across areas such as Public Health, Pharmaceutical R&D, Commercial/Payer, and Patient Safety.

You will contribute methods expertise, support analyses of RWD, and assist with study design, data source selection, and guidelines for RWD utilization, with an emphasis on patient safety. You will also support Alexion/AZ's data strategy by assisting with due diligence on data vendors and providing informatics support for Therapeutic Area data acquisitions.

You will be responsible for:

Supporting analyses of real world data sources: Assist in implementing advanced secondary analyses of data from EMR, claims, and primary observational sources as required by Therapeutic Area (TA) RWE strategies

Collaborating in a rapid analytics environmen: Work alongside stakeholders to help ideate and implement appropriate, impactful analyses

Providing technical input: Offer clear technical options and recommendations to support strategic decisions made by Alexion/AZ observational study teams on study design, data partner selection, and RWE data utilization guidelines

Assisting with vendor oversight: Support the monitoring of work performed by contract personnel and vendors

Building knowledge of external partners: Develop and maintain awareness of the capabilities of potential external partners in RWE, especially for US and emerging markets.

Demonstrating best practice: Apply and learn best practices in Real World Data Science across multiple domains and stakeholder groups

You will need to have:

Minimum of a Master's degree in Biostatistics, Epidemiology, Public Health, Statistics, Mathematics, Data Science, or a related field

Relevant academic project work, internships, or at least two years of professional experience in a pharmaceutical, biotechnology, healthcare, 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:

Enthusiasm for coding - this is a hands-on role, so be excited to write and learn code!

Eagerness to learn new methods and ways to use real world data to improve the practice of medicine

Exposure to or coursework involving EMR, disease registries, and/or insurance claims databases

Familiarity with clinical data standards, medical terminologies, and controlled vocabularies used in healthcare data and ontologies (e.g., ICD-9/10, SNOMED)

Foundational knowledge of or interest in pharmacoepidemiology, statistics, machine learning, or data science approaches

Strong communication skills and an ability to collaborate effectively with multi-disciplinary teams

Proficiency in SQL

Proficiency in either R or Python

Date Posted

10-Jul-2026

Closing Date

24-Jul-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.

Apply Now

Refine Your Search

data scientist, jobs in dublin, d

Real World Data Scientist

Lead Data Analytics & AI Engineer

Principal Clinical Data Science Lead

Lead Machine Learning Engineer

Software Architect - Analytics & Reporting

Customer Engineer, SMB, Artificial Intelligence

Senior QA Automation Engineer (AI-First)

Scaled Customer Engineer, SMB, Artificial Intelligence

Director Data Science

Senior Applied Scientist, AWS Security

Senior AI Engineer

AI Project Manager (R-19384)

Senior Product Manager, AI / ML Solutions

AI Product Manager

Vice President Data Science

Staff Machine Learning Engineer

Applied AI Lead - Risk

Senior QA Automation Engineer (AI-First)

AI Software Engineer II (R-19524)

AI Architect (R-18541)

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