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For Companies At a Glance
- Tasks: Design and deploy ML models for biomedical data to drive breakthroughs in health.
- Company: Fast-growing company at the forefront of biomedical AI.
- Benefits: Hybrid work, collaboration with top scientists, and impactful projects.
- Other info: Exceptional career growth opportunities and mentorship for junior team members.
- Why this job: Make a genuine scientific impact using AI to improve patient outcomes.
- Qualifications: Strong background in data science and biomedical expertise required.
The predicted salary is between 43200 - 72000 £ per year.
Location: London (Hybrid – 4 days on-site)
Advance the Future of AI-Driven Biomedical Discovery
The Opportunity
We’re looking for an experienced data scientist with strong biological or biomedical expertise to help design and deliver next‑generation AI solutions in life sciences. You’ll play a key role in applying advanced machine learning to complex biomedical datasets, driving breakthroughs in drug discovery, biomarker research, and health data analysis. This is a rare opportunity to make genuine scientific impact within a fast‑growing, mission‑driven company at the forefront of biomedical AI.
What You’ll Do
- Design, train, and deploy ML models across a wide range of biomedical data (genomics, proteomics, imaging, and clinical datasets)
- Work closely with biologists, clinicians, and engineers to translate biological questions into scalable AI solutions
- Contribute to robust data pipelines, model validation, and reproducible research workflows
- Support strategic data science initiatives and provide mentorship to junior team members
- Present key insights internally and represent the team at scientific meetings and external forums
Why Join
- Operate at the cutting edge of AI and biomedical research
- Help accelerate discovery and improve patient outcomes through applied machine learning
- Collaborate with world‑class scientists, engineers, and research partners
- Hybrid setup: 4 days per week in our London HQ, fostering collaboration and rapid innovation
This is an exceptional opportunity for a data scientist passionate about using AI to unlock new understanding of biology, disease, and human health.
Senior Data Scientist in England employer: Understanding Recruitment
Contact Detail:
Understanding Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist in England
✨Tip Number 1
Network like a pro! Reach out to professionals in the biomedical AI field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Showcase your skills! Create a portfolio of your projects, especially those related to machine learning and biomedical data. We want to see your work in action, so make it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and soft skills. We recommend practising common data science interview questions and being ready to discuss your past experiences in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our mission-driven team.
We think you need these skills to ace Senior Data Scientist in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in biomedical data and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re passionate about AI in the biomedical field. Share specific examples of how you've applied your expertise to drive results, and let your enthusiasm shine through!
Showcase Your Technical Skills: We’re looking for someone who can design and deploy ML models, so make sure to mention any relevant tools or programming languages you’re proficient in. Highlighting your experience with complex datasets will definitely catch our eye!
Apply Through Our Website: To ensure your application gets the attention it deserves, please apply directly through our website. This helps us keep track of all applications and makes the process smoother for everyone involved!
How to prepare for a job interview at Understanding Recruitment
✨Know Your Data Inside Out
Make sure you’re well-versed in the types of biomedical datasets mentioned in the job description, like genomics and proteomics. Brush up on your experience with machine learning models and be ready to discuss specific projects where you've applied these skills.
✨Showcase Your Collaboration Skills
Since the role involves working closely with biologists and clinicians, prepare examples that highlight your teamwork. Think about times when you translated complex biological questions into AI solutions and how you communicated those insights effectively.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions about model validation and data pipelines. Be ready to explain your approach to ensuring reproducible research workflows and how you’ve tackled challenges in past projects.
✨Engage with Their Mission
Demonstrate your passion for using AI in biomedical research. Familiarise yourself with their recent projects or breakthroughs and be prepared to discuss how you can contribute to accelerating discovery and improving patient outcomes.