Lead Data Science Researcher

TN Germany; Dresden; Remote; EUR 80.000 - 110.000; Vollzeit

Zusammenfassung

A software development company specializing in analytical services for healthcare clients is seeking a Lead Data Science Researcher. This role involves leading a team to explore innovative solutions in machine learning, particularly in medical data. Join a mission-driven team focused on enhancing healthcare quality through data-driven insights.

Leistungen

Fully remote setup

Flexibility and trust

Mission-driven team

Qualifikationen

• Experience with deep learning frameworks and building production-ready code.
• Familiarity with medical or life science data is a plus.

Aufgaben

• Lead a small team of data scientists in high-impact research initiatives.
• Advance applied machine learning with medical and clinical data.

Kenntnisse

Analytical Skills

Statistical Skills

Machine Learning

Python

SQL

Data Analysis

Tools

PyTorch

TensorFlow

Pandas

Scikit-learn

Google Cloud Platform

Jobbeschreibung

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Job Opportunity: Lead Data Science Researcher

A software development company specializing in analytical services for healthcare clients is seeking a talented, long-term Lead Data Science Researcher.

Join an international team of top professionals dedicated to creating products that enhance medical service quality.

We are looking for a Lead Data Science Researcher who excels in research-intensive environments and enjoys exploring new frontiers with a strong technical team. You will lead a small team of two data scientists, guiding high-impact research initiatives and experimental projects. Your role involves advancing applied machine learning, particularly with medical and clinical data, and transforming complex challenges into innovative solutions.

This position offers a unique chance to pioneer new ideas and applications beyond mere optimization.

What we’re looking for:

1. Exceptional analytical and statistical skills, comfortable with uncertainty, inference, and experimentation;
2. Strong background in various ML areas (classification, regression, recommender systems, text analysis, clustering, etc.);
3. Solid experience with deep learning frameworks like PyTorch or TensorFlow;
4. Excellent Python skills, capable of building clean, testable, production-ready code;
5. Familiarity with medical or life science data is a plus;
6. Expertise in SQL, Pandas, Scikit-learn, and modern data workflows;
7. Experience working in Google Cloud Platform (GCP) environments.

Bonus points for experience with:

1. State-of-the-art NLP models, Transformers, and approaches for mixed data analysis and summarization;
2. Pipeline orchestration tools like Airflow, Argo, etc.;
3. Proven experience with anomaly detection and forecasting with explainability for temporal and mixed data;
4. Intermediate+ English proficiency for collaboration with international teams and clients.

Additional Benefits:

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