
Description
patients worldwide by enabling AI-imaging-based diagnostics needed for personalized treatment pathways. We aim to solve the most critical issues in cancer care which will consequently reduce medical cost, prolong survival and improve quality of life. Our vision is to apply artificial intelligence to a wide range of cancer treatment pathways. As a starting point, now we are focusing on lung cancer. Job Type: Full-time Location: Remote but must be based in the UK. Periodically, meetings will be held in London. Salary: £40,000 to £55,000 *Must be legally authorized to work in the UK, as the company is unable to sponsor visas*
Responsibilities As a member of our product development team, you will:
- Collaborate and take initiative in an Agile team working on a quickly evolving product.
- Implement and adapt ML architectures to create our AI model
- Practice good engineering, uphold high coding standards and proactively strive to improve the codebase and maintain technical documentations.
- Evaluate and iterate on the model's performance, aiming for high performance
- Collaborate with data scientists, machine learning engineers, and domain experts to ensure model efficacy and clinical relevance.
- Collaborate on troubleshooting issues and provide possible workarounds and solutions in a timely manner.
Skills and Qualifications
- Master’s degree in Computer Science, Mathematics, Machine Learning, Biomedical Engineering, or related fields.
- Hands-on experience with Machine learning models and medical imaging data.
- Strong programming skills in Python and experience with ML libraries such as PyTorch or TensorFlow.
- Desirables Knowledge of cloud-based machine learning platforms such as AWS Sagemaker, Google Cloud ML, etc.
- Published research papers in related fields.
Person Specification
- Strong interpersonal skills Analytical, results focused with excellent problem-solving ability
- Pro-active and adaptable team player with a can-do attitude
- Ability to prioritise workloads and requirements, and able to focus work to a deadline
- Strong growth mindset and work ethics
- Excellent written and spoken communication skills
Employee Benefits
Opportunity to work in a small but talented team of world-wide top level researchers in the field of machine learning and computer vision. Opportunity to work on challenging machine learning projects, with potential for publication on tier-1 machine learning and computer vision conferences and journals. Access to computational resources. Employee stock option as human resource policy Salaries are reviewed at funding rounds Joining a growing start-up company in the health-tech industry, where you stand to impact and significantly improve people’s lives.
Recruitment Process: Background and CV Assessment: Review of your qualifications and work history. Short Task: A brief assignment related to the position to gauge your skills and abilities. Technical Interview: In-depth discussion of your technical expertise and job-specific knowledge. Behavioral Interview: Evaluation of your interpersonal skills, cultural fit, and how you handle various situations.