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Data Scientist
2 months ago
CAPU Search is excited to exclusively partner with a pioneering UK-based startup that is revolutionizing disease diagnostics through AI-enhanced solutions. We are seeking their first in-house Data Scientist for a fully remote role, offering a competitive salary between £70,000 and £90,000, depending on experience.
Key Milestones:
2024:
- UK Launch of their first product:
- Validation Study: Conducting crucial studies for EU and US regulatory approvals.
Next Few Years:
- Regulatory Approval: Obtaining certifications in EU and FDA approvals in the US.
- Global Expansion: Taking their innovative solutions worldwide.
- Product Pipeline Expansion: Developing new tools like for lung cancer and expanding into detecting other cancers and diseases.
About the Role:
As a Data Scientist, you will play a pivotal role in shaping the future of medical diagnostics. You’ll collaborate across clinical, scientific, and software development teams to design and implement automated data processing and machine learning algorithms. Your primary focus will be on signal processing, particularly working with time series data, and developing innovative methods to analyze infrared spectroscopic data alongside clinical information.
Key Responsibilities:
- Develop and optimize machine learning models, including XGBoost and deep learning approaches, to process complex IR and medical data.
- Collaborate with scientific and clinical teams to plan experiments, collect real-world data, and deliver key analyses that drive product direction.
- Contribute to the product's software development life cycle by writing production-level code.
- Design and develop insightful data visualizations to communicate complex findings to stakeholders.
- Assist in managing patent portfolio by identifying new patents in collaboration with the CTO and patent attorneys.
Qualifications:
Essential:
- 3+ years of experience in data science roles (industry)
- Proficiency in Python, including libraries such as scikit-learn, TensorFlow/PyTorch, and pandas/numpy.
- Experience with machine learning models, particularly XGBoost, and familiarity with traditional statistical methods.
- Strong background in signal processing, with experience in time series data—experience with medical or biological data is a plus.
- Familiarity with AWS or similar cloud environments.
- Strong communication skills, able to articulate complex technical concepts to non-technical audiences.
Desirable:
- PhD in a quantitative discipline (e.g., statistics, computer science, biomedical engineering).
- Experience with chemometric or spectroscopic data analytics methods.
- Familiarity with software engineering practices and deployment systems like CI/CD.
Why Join this company?
- Innovative Mission: Fight cancer with groundbreaking AI-enhanced diagnostics.
- Unique Technology: Work on a patented platform using IR spectroscopy.
- Growth Opportunity: Grow with us in our global expansion journey.
- Impactful Work: Make a real difference in patient lives.
- Multidisciplinary Team: Collaborate with top-notch specialists.
Why their Products Matter:
- Current Market Needs: Addressing urgent needs for reliable, non-invasive cancer screening.
- Adaptability and Scalability: Our platform is adaptable to various diseases and sample types.
- Cost-Effective Solutions: Reduce reliance on costly imaging techniques.
- Global Market Demand: Aligned with global trends in digital healthcare solutions.
What You'll Learn:
- Start-Up Journey: Experience the dynamic startup environment firsthand.
- Autonomy and Ownership: Take ownership of impactful projects.
- Cutting-Edge Technology: Work with advanced tech like machine learning and IR spectroscopy.
- Cross-Disciplinary Collaboration: Learn from experts in various fields.
- Regulatory Insight: Navigate complex regulatory landscapes.
- Career Acceleration: Develop skills for rapid career growth in the medtech industry.
Application Process:
Our recruitment process includes a CAPU screening, a 45-minute assessment with our CTO, and a technical interview with senior leadership.
Join us in our mission to make early cancer detection reliable, easy, and affordable. Apply today to be part of a team that's changing the future of healthcare
