Find Data scientist, genai Jobs in Dublin, D

Real World Data Scientist
Alexion Pharmaceuticals,Inc. —Dublin, County Dublin
- Master's degree
- SQL
- EMR systems
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Mastercard —Dublin, County Dublin
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Amazon EU SARL, Irish Branch —Dublin, County Dublin
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Equifax —Dublin, County Dublin
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PwC —Dublin, County Dublin
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Storyful —Dublin, County Dublin
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Lead Machine Learning Engineer
DocuSign —Dublin, County Dublin
- Doctoral degree
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Lead AI/ML Engineer
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
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AI Product Manager
iCIMS Talent Acquisition —DUBLIN 2, County Dublin
- Bachelor's degree
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Staff Machine Learning Engineer
Sirius XM —Dublin, County Dublin
- Full-time
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AI Project Manager (R-19384)
Dun & Bradstreet —Dublin, County Dublin
- Full-time
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Quick apply
Software Architect - Analytics & Reporting
Optum —Dublin, County Dublin
- Full-time
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Engineering Manager, Data & AI Platform
eBay Inc. —Dublin, County Dublin
- Full-time
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Director, Data engineering
Mastercard —Dublin, County Dublin
- Full-time
- Master's degree
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ASIC Digital Design, Principal Engineer
Synopsys —Dublin, County Dublin
- Computer Science
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AI & Intelligent Automation Consultant (Retail Banking)
NTT Ltd —Dublin, County Dublin
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Senior AI Engineer
Sonatus —Dublin, County Dublin
- Hybrid work
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- Doctoral degree
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Staff/Lead Fullstack Engineer (Frontend-focused)
Mimica —Dublin, County Dublin
- Full-time
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- System design
- English
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Senior Engineer, Applied AI
EXL Service —Dublin, County Dublin
- Full-time
- Hybrid work
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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

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data scientist, genai jobs in dublin, d

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