Enable job alerts via email!

Lead Data Science Researcher

TN United Kingdom

Manchester

Remote

GBP 60,000 - 100,000

Full time

7 days ago
Be an early applicant

Boost your interview chances

Create a job specific, tailored resume for higher success rate.

Job summary

An innovative software development company is seeking a Lead Data Science Researcher to join their mission-driven team. This role offers a unique opportunity to lead pioneering projects in applied machine learning within the healthcare sector. You will collaborate with top-tier professionals to tackle meaningful challenges that enhance public health and healthcare quality. The position emphasizes flexibility and trust, allowing for a fully remote work environment. If you excel in research-driven settings and are passionate about making a significant impact, this opportunity is perfect for you.

Qualifications

  • Strong background in machine learning and statistical analysis.
  • Experience with deep learning frameworks and Python programming.

Responsibilities

  • Lead a small team in pioneering applied machine learning for healthcare.
  • Transform complex medical data problems into innovative solutions.

Skills

Analytical Skills
Statistical Skills
Machine Learning (Classification, Regression, etc.)
Deep Learning (PyTorch, TensorFlow)
Python Programming
SQL
Pandas
Scikit-learn
Google Cloud Platform (GCP)

Tools

Airflow
Argo

Job description

Social network you want to login/join with:

Lead Data Science Researcher, Manchester

Client: Top Remote Talent

Location: Manchester, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Reference: 68213cd324f5

Job Views: 8

Posted: 24.04.2025

Expiry Date: 08.06.2025

Job Description:

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

The company comprises experts dedicated to creating products that enhance medical service quality. You will join an international team of top-tier professionals passionate about innovation.

We seek a Lead Data Science Researcher who excels in research-driven environments, enjoys exploring new frontiers with a strong technical team, and leads a small team of two data scientists. Your role involves pioneering applied machine learning in medical and clinical data, transforming complex problems into innovative solutions.

This is a unique opportunity to lead new ideas and applications, not merely optimize existing solutions.

What we’re looking for:
  • Exceptional analytical and statistical skills, comfortable with uncertainty, inference, and experimentation;
  • Strong background in various ML areas (classification, regression, recommender systems, text data, clustering, etc.);
  • Solid experience with deep learning frameworks like PyTorch or TensorFlow;
  • Excellent Python skills (beyond Jupyter Notebooks), capable of building 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;
  • 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.

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. This position is fully remote-friendly, emphasizing flexibility and trust.

Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.