Lead Data Science Researcher

Top Remote Talent; Karlsruhe; Remote; EUR 60.000 - 100.000; Vollzeit

Zusammenfassung

Join a forward-thinking company at the forefront of healthcare analytics as a Lead Data Science Researcher. This exciting role offers the chance to lead a talented team in exploring uncharted territories of applied machine learning, particularly within medical and clinical data. Your expertise will drive innovative solutions that enhance healthcare quality and public health. Collaborate with top-tier professionals in a fully remote-friendly environment that values curiosity and innovation. If you're passionate about making a significant impact through data, this opportunity is perfect for you.

Leistungen

Fully remote-friendly setup

Flexible working hours

Collaborative team environment

Mission-driven projects

Qualifikationen

• Strong background in machine learning and statistical analysis.
• Experience in leading data science research initiatives.

Aufgaben

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

Kenntnisse

Analytical Skills

Statistical Skills

Machine Learning

Deep Learning (PyTorch, TensorFlow)

Python Programming

SQL

Data Analysis (Pandas, Scikit-learn)

Google Cloud Platform (GCP)

Natural Language Processing (NLP)

Anomaly Detection

Jobbeschreibung

A software development company is looking for 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 first-class professionals who are passionate about creating products that improve the quality of medical services.

We’re seeking 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 various 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.

Benefits :

• 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.