Lead Data Science Researcher

3 weeks ago

Dublin, Dublin City, Ireland Top Remote Talent Full time

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Client:

Top Remote Talent

Location:

dublin, county dublin, .ie, Ireland

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

d78a5b74c15a

Job Views:

8

Posted:

12.08.2025

Expiry Date:

26.09.2025

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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 to create products that improve 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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