Lead Data Science Researcher

Top Remote Talent; Bristol; On-site; GBP 80,000 - 100,000; Full time

Job summary

A leading software development company is seeking a Lead Data Science Researcher to guide a team in applying machine learning to improve healthcare quality. You will lead research initiatives and collaborate with an international team to develop impactful products. This fully remote position values curiosity and innovation.

Benefits

Flexible remote-friendly setup

Meaningful challenges in public health

Collaboration with top-tier experts

Qualifications

• Experience in leading data science teams on research initiatives.
• Ability to push boundaries in applied machine learning.
• Capable of developing products that improve healthcare quality.

Responsibilities

• Lead a compact team in high-impact research initiatives.
• Collaborate to develop medical services products.
• Transform complex problems into innovative solutions.

Skills

Exceptional analytical and statistical skills

Strong background in ML

Solid experience with deep learning frameworks

Excellent Python skills

Familiarity with medical or life science data

Expertise in SQL, Pandas, Scikit-learn

Comfortable working in GCP environments

Intermediate+ English for discussions

Tools

PyTorch

TensorFlow

Google Cloud Platform

Airflow

Argo

Job description

Overview

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.

Responsibilities

• 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.

Qualifications

• 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.

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.