DATA SCIENTIST

About our companyBreast cancer is the most treatable cancer, yet it remains the leading cause of death by cancer in women—largely because national screening programs miss up to 1 in 3 cases. The problem is even worse for women with dense breasts, who make up 50% of the screening population and for whom mammography is less reliable. At The Blue Box, we've developed a urine-based breast cancer test with a sensitivity of 88.42%, outperforming mammography by 15% overall—and by 30% in women with dense breasts. We're launching clinical trials in 2025 and bringing our test to gynecology clinics by 2026.We are looking for a Data Scientist to join our dynamic team and spearhead the technical aspects of our breast cancer diagnostic device development. The ideal candidate will possess a strong technical background, a teamwork-oriented mindset, and a passion for driving innovation in healthcare. Job DescriptionLead improvements in AI algorithms based on processing and data analysis of clinical examinations gathered with the device, prioritizing sensitivity and specificity for challenging classes.Design and implement preprocessing pipelines: signal denoising, normalization, scaling, and feature extraction.Keep our comprehensive dataset up to date, addressing data scarcity challenges.Lead troubleshooting efforts and provide technical expertise to resolve complex issues encountered during development of AI models. Collaborate with our Head of Engineering and Clinical Lead in optimizing the quality of data readings obtained with our device.Collaborate with our QA/RA Lead to ensure that all technical aspects of the AI algorithm development adhere to quality standards, regulatory requirements, and industry best practices. RequirementsAdvanced degree in Computer Science, Bioinformatics, Physics, Mathematics or a related field.Proven track record of hands-on experience (≥3 years), ideally in the development of algorithms of pre-processing codes to classify multidimensional time series data, preferably in the field of Biology.Experience in cross-validation strategies and handling class imbalance.(Bonus) Knowledge of electronics and sensor signal acquisition.Strong collaborative mindset, open to iterative model refinement based on feedback from engineers and clinicians. Ability to communicate technical concepts clearly to non-technical teams (e.g., Quality and Regulatory Office, Clinical Office…).Fluency in English.About the teamThis is an in-person job with one optional work-from-home day per week. Our office space is at StartUB! (Barcelona). The current team is integrated by 8 people: CEO, Tech Lead, Operations Lead, Clinical Lead, QA/RA Manager, Project Manager, Lab Technician, Software Engineer.Desired start date: June 2ndHow to applyPlease submit your application via LinkedIn including:Your CVWhen you’d be able to start working with us. If you need to relocate to Barcelona, when you’d be able to start working in person#MachineLearning #AI #DeepLearning #DataPreprocessing #TimeSeries #BiologicalData #Classification