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- Tasks: Lead a small team to innovate machine learning solutions in healthcare.
- Company: Join a software company dedicated to enhancing medical service quality.
- Benefits: Enjoy remote work flexibility and a culture of trust and autonomy.
- Why this job: Make a real impact on public health while collaborating with top experts.
- Qualifications: Strong analytical skills, experience in ML, and proficiency in Python required.
- Other info: Bonus points for familiarity with NLP models and cloud environments.
The predicted salary is between 43200 - 72000 £ per year.
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.
Lead Data Science Researcher employer: TN United Kingdom
Contact Detail:
TN United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Science Researcher
✨Tip Number 1
Network with professionals in the healthcare analytics field. Attend relevant conferences, webinars, or meetups to connect with potential colleagues and industry leaders. This can help you gain insights into the latest trends and possibly get referrals.
✨Tip Number 2
Showcase your expertise in machine learning and data science by contributing to open-source projects or publishing research papers. This not only demonstrates your skills but also highlights your commitment to the field, making you a more attractive candidate.
✨Tip Number 3
Familiarise yourself with the specific challenges faced in healthcare data analysis. Understanding the nuances of medical data can set you apart from other candidates, so consider reading up on case studies or recent advancements in the field.
✨Tip Number 4
Prepare for interviews by practising how to explain complex technical concepts in simple terms. As a Lead Data Science Researcher, you'll need to communicate effectively with both technical and non-technical stakeholders, so honing this skill is crucial.
We think you need these skills to ace Lead Data Science Researcher
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your analytical and statistical skills, as well as your experience with machine learning frameworks like PyTorch or TensorFlow. Emphasise any relevant projects or roles that showcase your ability to lead a team and work with medical or life science data.
Craft a Compelling Cover Letter: In your cover letter, express your passion for innovation in healthcare and how your background aligns with the company's mission. Mention specific experiences where you've transformed complex problems into innovative solutions, particularly in applied machine learning.
Showcase Technical Skills: Be explicit about your technical skills in Python, SQL, and data workflows. If you have experience with Google Cloud Platform or pipeline orchestration tools, make sure to include that as well. Use examples to demonstrate your proficiency.
Highlight Team Leadership Experience: Since this role involves leading a small team, highlight any previous leadership roles or experiences where you guided a team through research-driven projects. Discuss your approach to fostering collaboration and innovation within a team setting.
How to prepare for a job interview at TN United Kingdom
✨Showcase Your Analytical Skills
Prepare to discuss specific examples of your analytical and statistical skills. Be ready to explain how you've tackled uncertainty and experimentation in past projects, especially in a healthcare context.
✨Demonstrate Technical Proficiency
Make sure you can talk confidently about your experience with machine learning frameworks like PyTorch or TensorFlow. Bring examples of your Python code that highlight your ability to write clean, testable, production-ready solutions.
✨Familiarity with Medical Data
If you have experience with medical or life science data, be prepared to discuss it. Highlight any relevant projects where you applied your data science skills to healthcare challenges, as this will resonate well with the company's mission.
✨Engage with the Team Culture
Research the company’s culture of curiosity, autonomy, and innovation. During the interview, express your enthusiasm for collaboration and how you can contribute to a team that values these principles, especially in a remote setting.
