Data Scientist II

Overview

We are seeking a highly skilled and motivated Data Scientist II to support the development of scalable state-of-the-art systems that use artificial intelligence (AI) to empower scientists and physicians. This role will focus on using AI across multiple modalities (images, text, etc.) to accelerate the pace of scientific research. The successful candidate will collaborate with a multidisciplinary team of scientists, software engineers, and biologists to drive advancements in translational sciences. The ability to think critically and work independently as a part of a team is a must. A strong preference will be given to adata scientists with a background in the development of data pipelines, fundamental knowledge of large language model architectures, agents, and computer vision models. A background in biology and/or medicine is preferred. 

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.
• Collaborate with biologists and other researchers to understand their needs and translate them into technical solutions, incorporating state-of-the-art AI methodologies.
• 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.
• Participate in interdisciplinary team meetings, present findings, and contribute to scientific publications and grant proposals, emphasizing AI and computer vision innovations.
• Identify and implement new AI technologies and frameworks to enhance the capabilities of biomedical imaging tools and methodologies.
• Knowledge of code packaging, containerization technologies, and continuous integration pipelines.
• DevOps experience with Kubernetes and workflow automation is a plus.

Qualifications 

• Ph.D. or Master’s degree in Data Science, Computer Science, Biomedical Engineering, Bioinformatics, or a related field.
• Proven experience in biomedical imaging analysis, AI, and computer vision, preferably in HTS and HCS contexts.
• Strong programming skills in languages such as Python. C++ and Rust is a plus.
• 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.
• 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.
• Experience in developing AI-driven software tools for biomedical research.
• Experience with version control systems such as Git.
• Experience with workflow automation tools.
• Previous experience working in a collaborative, interdisciplinary research environment.