Lead Data Science Researcher

TN Germany; Berlin; Remote; EUR 60.000 - 100.000; Vollzeit

Zusammenfassung

An innovative software development company is on the lookout for a Lead Data Science Researcher to spearhead research initiatives in healthcare. This role offers the chance to lead a dedicated team, exploring the frontiers of applied machine learning in medical contexts. You will be instrumental in pushing boundaries, driving new ideas, and creating impactful solutions that enhance healthcare quality. Join a mission-driven team that values curiosity and innovation, while enjoying a flexible, remote-friendly work environment. This is a unique opportunity to make a real difference in public health.

Qualifikationen

• Strong background in machine learning and statistical analysis.
• Experience with medical or life science data is a plus.

Aufgaben

• Lead a team of data scientists on high-impact research initiatives.
• Transform complex medical data challenges into innovative solutions.

Kenntnisse

Analytical Skills

Machine Learning

Deep Learning (PyTorch, TensorFlow)

Python

SQL

Pandas

Scikit-learn

Google Cloud Platform

NLP Models

Pipeline Orchestration

Jobbeschreibung

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A software development company is seeking a talented, long-term Lead Data Science Researcher.

The company is a team of experts providing analytical services to healthcare clients. You will join an international team of professionals 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 small 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 transforming 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; and enjoy a fully remote-friendly setup with flexibility and trust at the core.