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- Tasks: Lead a team in applying advanced machine learning to biomedical challenges.
- Company: Breakthrough company at the forefront of AI-driven biomedical research.
- Benefits: Senior-level compensation, meaningful equity, and a hybrid work model.
- Other info: Collaborate with world-class scientists and enjoy excellent career growth.
- Why this job: Shape the future of biomedical discovery and improve patient outcomes.
- Qualifications: PhD preferred; strong leadership and expertise in machine learning required.
The predicted salary is between 72000 - 108000 £ per year.
Location: London (Hybrid, 4 days onsite)
I’m partnering with a breakthrough company operating at the frontier of AI-driven biomedical research to hire a Lead Data Scientist. You’ll guide a high‑performing team applying advanced machine learning to some of the most complex challenges in life sciences— from drug discovery to biomarker identification and large‑scale health data analysis.
What You’ll Lead
- Set the data science strategy across multiple biomedical R&D programmes
- Lead, mentor, and grow a multidisciplinary team spanning data science, ML engineering, and bioinformatics
- Architect scalable pipelines and deploy ML models across genomic, proteomic, imaging, and clinical datasets
- Represent the organisation at top scientific and AI conferences, elevating its presence in the biomedical AI community
What They’re Looking For
- Strong academic foundation in Computer Science, Bioinformatics, Computational Biology, Data Science, or related field (PhD strongly preferred)
- Proven leadership experience in data science within life sciences, biotech, pharma, or biomedical research
- Deep understanding of machine learning methods and their application to biological data
- Expert‑level skills in Python and modern ML frameworks
- Exceptional communication and leadership abilities across scientific and technical teams
Why This Role Matters
- Lead at the intersection of AI, biology, and real‑world medical innovation
- Directly influence how machine learning accelerates discovery and improves patient outcomes
- Collaborate with world‑class scientists, engineers, and research institutions
- Senior‑level compensation (up to £150k + meaningful equity)
- Hybrid model with four days weekly in their London HQ to support close collaboration and rapid progress
If you’re a data science leader with deep biomedical expertise and the ambition to push the boundaries of AI in human health, this is a rare opportunity to shape the future of biomedical discovery.
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Information Technology, Technology, Information, Media, and Biotechnology Research
Lead Data Scientist in England employer: Understanding Recruitment
Contact Detail:
Understanding Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist in England
✨Tip Number 1
Network like a pro! Attend industry meetups, conferences, and webinars related to biomedical AI. This is your chance to connect with potential employers and showcase your expertise in person.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your projects in machine learning and data science. Use platforms like GitHub to share your code and demonstrate your problem-solving abilities.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as communication is key in leading a multidisciplinary team.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals who are ready to make an impact in the biomedical AI space. Your next big opportunity could be just a click away!
We think you need these skills to ace Lead Data Scientist in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Data Scientist role. Highlight your experience in data science, especially in life sciences and biomedical research. We want to see how your skills align with the job description!
Showcase Your Leadership Skills: Since this role involves leading a team, don’t forget to showcase your leadership experience. Share examples of how you've mentored others or led projects in your previous roles. We love seeing how you can inspire and grow a team!
Highlight Technical Expertise: Be sure to emphasise your technical skills, particularly in Python and machine learning frameworks. We’re looking for someone who can architect scalable pipelines, so give us the details on your relevant projects and achievements.
Express Your Passion: Let your passion for AI and biomedical research shine through in your application. We want to know why you’re excited about this opportunity and how you envision contributing to our mission. Apply through our website to make it official!
How to prepare for a job interview at Understanding Recruitment
✨Know Your Stuff
Make sure you brush up on your knowledge of machine learning methods and their applications in biomedical research. Be ready to discuss specific projects where you've applied these techniques, especially in drug discovery or health data analysis.
✨Showcase Your Leadership Skills
Prepare examples that highlight your leadership experience. Think about times when you've mentored a team or led a project. This role is all about guiding a multidisciplinary team, so demonstrate how you've successfully done this in the past.
✨Communicate Clearly
Since exceptional communication is key, practice explaining complex concepts in simple terms. You might be asked to present your ideas or strategies, so being able to articulate your thoughts clearly will set you apart.
✨Engage with the Community
Research the company’s presence in the biomedical AI community. Familiarise yourself with their recent contributions or any conferences they’ve attended. Showing that you’re engaged and informed about their work can really impress the interviewers.