019936 - Data Scientist, UCD Physics, Fixed-term post until 14 April 2028

University College Dublin

Roebuck

On-site

EUR 55,000 - 60,000

Full time

14 days+

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Job summary

University College Dublin is seeking a Data Scientist to lead the development and validation of the machine learning models underpinning our miniaturized haematology analyser. You will apply advanced data science techniques to biomedical data, ensuring robust, scalable models that support clinical insights.

The role offers a fixed salary of €55,000–€60,200 per annum and supports remote/blended working. This posting closes 04 September 2026, and the appointment will reflect qualifications and

Qualifications

  • Experience in building and validating ML models for biomedical data.
  • Strong programming skills in data science pipelines.

Responsibilities

  • Lead development and validation of ML models for haematology analyser.
  • Collaborate with interdisciplinary teams to ensure model robustness and deployment readiness.

Skills

Data Science
Machine Learning
Python
R

Job description

University College Dublin

Ref: #JOB-2463089

University College Dublin, Belfield, Dublin 4,

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Application Details

In order to work in Ireland a non-EEA National, unless they are exempted, must hold a valid employment permit. Please review the Eligibility and requirements for an employment permit if you are unsure of your eligibility to apply for this vacancy.

Job Description

We are seeking a ‘Data Scientist’ to lead the development and validation of the machine learning models underpinning our miniaturized haematology analyser. Prior to application, further information (including application procedure) should be obtained from the Work at UCD website: https://www.ucd.ie/workatucd/jobs/

Fixed Salary: €55,000 - €60,200 per annum.

Appointment on the above range will be dependent upon qualifications and experience.

Closing date: 12:00 noon (local Irish time) on 04/09/2026.

  • This vacancy is suitable for Remote/Blended working
  • Sector: education
Career Level
  • Experienced [Non-Managerial]
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