Lead Data Science Researcher

A software development company is looking for a talented, long-term Lead DS Researcher. The company provides analytical services to healthcare clients and is an international team of professionals who create products to improve 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 compact team of two data scientists, guiding them on high-impact research initiatives and experimental projects. Your role involves 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.

• Lead a compact team of two data scientists on high-impact research initiatives and experimental projects.
• Push the boundaries of applied machine learning in medical and clinical data contexts and translate complex problems into innovative solutions.
• Collaborate with an international team of professionals to develop products that improve quality of medical services.

• Exceptional analytical and statistical skills — comfortable with uncertainty, inference, and experimentation.
• Strong background in different areas of ML (traditional classification and regression, recommender systems, text data, clustering, etc.).
• Solid experience with deep learning frameworks like PyTorch or TensorFlow.
• Excellent Python skills (beyond Jupyter Notebooks) with the 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: 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.; anomaly detection and forecasting with explainability for temporal and mixed data; intermediate+ English for 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.