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- Tasks: Lead a team to develop AI/ML models for early cancer detection.
- Company: Join a pioneering healthtech company transforming diagnostics and clinical innovation.
- Benefits: Enjoy a hybrid work model with opportunities for professional growth.
- Why this job: Make a real impact on patient outcomes through innovative data science.
- Qualifications: Advanced degree in relevant fields and experience in healthcare AI/ML projects required.
- Other info: This role is perfect for those passionate about translating data into life-saving insights.
The predicted salary is between 43200 - 72000 £ per year.
We are partnering with a pioneering healthtech company at the intersection of advanced diagnostics, data science, and clinical innovation. This UK-based leadership role will shape AI and machine learning strategy for early cancer detection, helping transform how we identify disease at its most treatable stage.
Responsibilities
- Lead a growing team of data scientists developing ML/AI models for real-world clinical data
- Own the end-to-end lifecycle of AI/ML projects — from data acquisition to deployment
- Collaborate with lab, regulatory, and product teams to align on technical and clinical priorities
- Champion innovation in medical AI, staying current with emerging tools, frameworks, and methodologies
- Ensure model quality and regulatory readiness in compliance with medical device standards
Qualifications
- Advanced degree or equivalent experience in computer science, bioinformatics, engineering, or related field
- Proven experience leading AI/ML projects in healthcare, life sciences, or diagnostics
- Strong background in Python and common machine learning toolchains (e.g. MLflow, PyTest, GitHub)
- Excellent communication skills for cross-functional collaboration and regulatory documentation
- Based in the UK with the ability to work in a hybrid model; experience with QMS or regulated environments (e.g. ISO13485) is a plus
This is a high-impact role in a mission-driven company where data science directly supports patient outcomes. If you’re passionate about translating complex data into life-saving insights, we’d love to hear from you.
Data Science Manager, Oncology Diagnostics - Scotland employer: Hartmann Young
Contact Detail:
Hartmann Young Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager, Oncology Diagnostics - Scotland
✨Tip Number 1
Network with professionals in the healthtech and diagnostics sectors. Attend industry conferences or webinars to connect with potential colleagues and leaders in the field. This can help you gain insights into the company culture and expectations.
✨Tip Number 2
Stay updated on the latest advancements in AI and machine learning, particularly in oncology diagnostics. Familiarise yourself with recent case studies or innovations that have made an impact in early cancer detection, as this knowledge will be valuable during discussions.
✨Tip Number 3
Prepare to discuss your leadership style and experiences in managing data science teams. Be ready to share specific examples of how you've successfully led AI/ML projects, especially in regulated environments, as this will demonstrate your fit for the role.
✨Tip Number 4
Engage with the company's online presence. Follow them on social media and participate in discussions related to their work. This shows your genuine interest in the company and can help you stand out when applying through our website.
We think you need these skills to ace Data Science Manager, Oncology Diagnostics - Scotland
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI/ML projects, particularly in healthcare or diagnostics. Emphasise your leadership skills and any specific tools or methodologies you've used that align with the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for oncology diagnostics and data science. Discuss how your background and skills make you a perfect fit for leading a team in this innovative healthtech environment.
Highlight Technical Skills: Clearly list your technical skills, especially in Python and machine learning toolchains like MLflow and GitHub. Provide examples of how you've applied these skills in previous roles to drive successful outcomes.
Showcase Communication Abilities: Since excellent communication is crucial for this role, include examples of how you've successfully collaborated with cross-functional teams or contributed to regulatory documentation in past positions.
How to prepare for a job interview at Hartmann Young
✨Showcase Your Leadership Experience
As a Data Science Manager, you'll be leading a team. Be prepared to discuss your previous leadership roles, how you managed teams, and the impact of your leadership on project outcomes. Use specific examples to illustrate your ability to inspire and guide others.
✨Demonstrate Technical Proficiency
Make sure to highlight your experience with Python and machine learning toolchains like MLflow and PyTest. Be ready to discuss specific projects where you've applied these skills, focusing on the end-to-end lifecycle of AI/ML projects in healthcare.
✨Emphasise Collaboration Skills
This role requires collaboration with various teams, including lab and regulatory. Prepare to share examples of how you've successfully worked cross-functionally in the past, and how you navigated any challenges that arose during those collaborations.
✨Stay Current with Industry Trends
The field of medical AI is rapidly evolving. Show your passion for innovation by discussing recent advancements in AI and machine learning that excite you. This demonstrates your commitment to staying informed and your ability to lead in a fast-paced environment.
