Axle is seeking a Data Scientist II to support the development of scalable state-of-the-art systems that use artificial intelligence (AI) to empower scientists and physicians, focusing on using AI across multiple modalities (images, text, etc.) to accelerate the pace of scientific research.
Requirements
- Proven experience in biomedical imaging analysis, AI, and computer vision, preferably in HTS and HCS contexts.
- Strong programming skills in languages such as Python.
- Well versed with AI and machine learning frameworks and libraries such as TensorFlow, PyTorch, PydanticAI, and LLM observability.
- Experience with image analysis software and libraries such as ImageJ, CellProfiler, OpenCV, or similar.
- Knowledge of statistical analysis and data visualization techniques.
- Familiarity with high-performance computing and cloud-based data processing environments.
- Experience with version control systems such as Git.
Responsibilities
- Develop, implement, and optimize LLMs and computer vision algorithms for processing and analyzing biomedical text and image data.
- Design and develop software tools and pipelines for automated image analysis, data integration, and visualization, leveraging machine learning and deep learning techniques.
- Perform data mining, statistical analysis, and machine learning on large-scale biomedical imaging datasets to extract meaningful insights and improve predictive accuracy.
- Validate and benchmark AI-driven imaging algorithms and tools to ensure their accuracy, robustness, and scalability.
- Document software development processes, create user manuals, and provide training and support to end-users, particularly focusing on AI applications.
- Stay up-to-date with the latest advancements in AI, computer vision, biomedical imaging, computational biology, and data science, and apply this knowledge to improve existing tools and methodologies.
- Identify and implement new AI technologies and frameworks to enhance the capabilities of biomedical imaging tools and methodologies.
Other
- The ability to think critically and work independently as a part of a team is a must.
- A background in biology and/or medicine is preferred.
- Excellent problem-solving skills and the ability to work both independently and as part of a team.
- Strong communication skills and the ability to convey complex technical concepts to non-technical audiences.
- Previous experience working in a collaborative, interdisciplinary research environment.
