Lead Data Science Researcher

Top Remote Talent; Karlsruhe; Remote; EUR 80.000 - 110.000; Vollzeit

Zusammenfassung

A leading software development company in Germany is seeking a talented Lead Data Science Researcher. This role involves guiding a team of data scientists in innovative research focused on medical applications, with a strong emphasis on machine learning techniques. Candidates should have exceptional analytical, statistical, and Python skills with relevant experience in healthcare data. This position offers a fully remote-friendly work environment focused on collaboration and innovation.

Leistungen

Mission-driven work

Collaborative team environment

Flexibility and autonomy

Qualifikationen

• 5+ years experience in data science and machine learning roles.
• Familiar with medical or life sciences data.
• Capable of producing production-ready code.

Aufgaben

• Lead a team of two data scientists on high-impact research projects.
• Explore novel applications of machine learning in healthcare.
• Develop data-driven solutions to complex challenges.

Kenntnisse

Analytical skills

Statistical skills

Machine Learning (ML) background

Python programming

SQL expertise

Experience with deep learning (PyTorch, TensorFlow)

Familiarity with GCP

Tools

Scikit-learn

Pandas

Jobbeschreibung

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.

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.