At a Glance
- Tasks: Develop deep-learning models for spatial biology biomarkers in blood cancer.
- Company: Ground Truth Labs Ltd., a leader in AI-driven healthcare solutions.
- Benefits: Remote work, travel opportunities, and authorship in research publications.
- Other info: Collaborative environment with opportunities for impactful research.
- Why this job: Make a real difference in healthcare with innovative AI contributions.
- Qualifications: Experience in machine learning and a passion for healthcare innovation.
The predicted salary is between 60000 - 80000 £ per year.
Ground Truth Labs Ltd. is seeking a Machine Learning Scientist to develop spatial biology biomarkers for blood cancer. In this role, you will implement deep-learning models and work collaboratively with engineers and clinical experts to create impactful solutions. This opportunity invites someone enthusiastic about AI and eager to make a significant difference in healthcare.
The position emphasizes innovative contributions and authorship in research publications. Expect remote work with periodic travel to London and Oxford for team collaboration.
ML Scientist: Spatial Biology for Cancer Diagnostics employer: Ground Truth Labs Ltd.
Ground Truth Labs Ltd. is an exceptional employer that fosters a culture of innovation and collaboration, particularly in the field of healthcare technology. With a strong emphasis on employee growth, you will have the opportunity to contribute to groundbreaking research while working remotely and enjoying the flexibility of periodic travel to vibrant cities like London and Oxford. Join us to be part of a team that values your contributions and supports your professional development in a meaningful way.
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We think this is how you could land ML Scientist: Spatial Biology for Cancer Diagnostics
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We think you need these skills to ace ML Scientist: Spatial Biology for Cancer Diagnostics
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
