Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Create, develop, and implement cutting-edge machine learning and artificial intelligence solutions that aid cancer research and clinical operations.

• Work in partnership with administrative leaders, clinicians, and IT professionals.

• Extract large datasets from various systems.

• Design, develop, validate, and deploy machine learning and deep learning models, including transformer-based architectures, multimodal neural networks, and large language models (LLM).

• Architect, deploy, and oversee production-quality AI systems, including LLM-based retrieval-augmented generation (RAG) pipelines, agent frameworks, and multimodal inference systems in cloud or distributed settings.

• Generate technical documentation, visual representations, and presentations.

• Lead the technical design and execution of intricate AI projects involving research, clinical, and engineering teams.

• Carry out tasks autonomously.

• Develop multimodal AI solutions that integrate text, imaging, genomic, and structured clinical data utilizing deep learning and transformer-based models.

• Perform additional related tasks as assigned or requested.

⛳️ Requirements

• Master’s degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Statistics, Applied Mathematics, Bioinformatics, Engineering, or a closely related quantitative discipline; or a Bachelor’s degree with over 3 years of experience.

• Understanding of a healthcare environment and electronic health record (EHR) data.

• Knowledge of multimodal data such as genomic information and medical images.

• Experience with deep neural networks and Natural Language Processing (NLP).

• Familiarity with cloud service platforms like Microsoft Azure.

• Background in Generative AI and Large Language Models (LLMs), including RAG, fine-tuning, embedding models, prompt engineering, and their integration into agentic data science workflows.

• Proficient in version control systems (Git) and collaborative development practices.

• Awareness of the latest trends and advancements in Data Science and Machine Learning.

• Experience with relational databases and SQL querying.

• Proficient in Python and associated data and machine learning libraries.

• Skilled in standard data science workflows, including training, evaluation/testing, and deployment of machine learning and deep learning models.

• Familiarity with LLM frameworks and libraries such as LangChain and LangGraph.

• Capable of working independently and employing innovative problem-solving techniques.

• Ability to translate inquiries into testable hypotheses, extract data from complex databases, and formulate and assess statistical models.

• Experience in data visualization and effectively communicating findings to both technical and non-technical audiences.

• Proven record of authoring and contributing to peer-reviewed scientific articles.

• Experience executing end-to-end projects with minimal supervision.

• Involvement in extensive projects with numerous internal and external teams.

• Experience managing collaborative data science initiatives.

🏝️ Benefits

• Comprehensive Benefits (details provided via employer benefits link).