Lead Data Science Researcher

4 weeks ago

Dublin, Dublin City, Ireland TN Ireland Full time

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Client:

Top Remote Talent

Location:

Dublin, County Dublin, .ie, Ireland

Job Category:

Other

EU work permit required:

Yes

Job Reference:

d78a5b74c15a

Job Views:

3

Posted:

19.04.2025

Expiry Date:

03.06.2025

Job Description:

A software development company is looking for a talented, long-term Lead DS Researcher.

The company is a team of experts providing analytical services to healthcare clients. You will join an international team of first-class professionals who are passionate about creating products that improve the quality of medical services.

We're looking for a Lead Data Science Researcher who thrives in research-heavy environments and enjoys exploring uncharted territory with the support of a strong technical team. You will lead a compact team of two data scientists, guiding them on high-impact research initiatives and experimental projects. Your role will involve pushing the boundaries of applied machine learning — especially in the context of medical and clinical data — and turning complex problems into innovative solutions.

This is a unique opportunity to drive forward new ideas and applications, not just optimize existing ones.

What we're looking for:
  • Exceptional analytical and statistical skills — comfortable with uncertainty, inference, and experimentation;
  • Strong background in different areas of ML (traditional classification and regression techniques, recommender systems, text data, clustering, etc.);
  • Solid experience with deep learning frameworks like PyTorch or TensorFlow;
  • Excellent Python skills (beyond Jupyter Notebooks) — ability to build clean, testable, production-ready code;
  • Familiarity with medical or life science data is a strong plus;
  • Expertise in SQL, Pandas, Scikit-learn, and modern data workflows;
  • Comfortable working in Google Cloud Platform (GCP) environments.
Bonus points for experience with:
  • State-of-the-art NLP models, Transformers, Agentic Approaches for mixed (temporal and text) data analysis and summarization;
  • Experience with pipeline orchestration tools like Airflow, Argo, etc.;
  • Proven experience with Anomaly Detection and Forecasting with explainability for temporal and mixed data;
  • Intermediate+ English — ability to participate in written discussions with international teams and clients.

Join a mission-driven team working at the intersection of data, medicine, and impact. Work on meaningful challenges with long-term value for public health and healthcare quality. Collaborate with top-tier experts in a culture that values curiosity, autonomy, and innovation. Fully remote-friendly setup with flexibility and trust at the core.

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