Computational Biologist I, Clinical Data Mining

Responsibilities Partner with clinicians, researchers, engineers, and data scientists to support institutional cancer research initiatives. Develop and maintain data pipelines to extract, transform, and integrate clinical, genomic, imaging, and other healthcare datasets. Build and deploy machine learning (ML), natural language processing (NLP), and AI-based solutions for clinical data extraction and curation. Leverage large language models (LLMs) and emerging AI technologies to improve data abstraction and research workflows. Collaborate with cross-functional teams to translate research questions into scalable computational solutions. Support enterprise curation efforts that make high-quality clinical data available to investigators across MSK. Contribute to the development of cloud-based infrastructure and analytics tools supporting translational research. Requirements Bachelor's degree in Computer Science, Bioinformatics, Biomedical Engineering, Computational Biology, Data Science, or a related discipline with 2+ years of relevant experience; or a Master's degree in a related field. Experience programming in Python and/or R. Working knowledge of SQL and relational databases. Experience applying machine learning and/or NLP methodologies. Experience working with source control systems such as Git/GitHub. Experience using cloud platforms or cloud-based data environments. Strong communication and collaboration skills with both technical and non-technical stakeholders. Core Competencies Demonstrates expertise in developing and maintaining data pipelines, applying machine learning and natural language processing methodologies, and leveraging cloud-based infrastructure for clinical data integration and research support. Strong collaboration and communication skills are essential for working with diverse teams and stakeholders. Highest-signal resume keywords Python Programming Machine Learning Natural Language Processing Cloud Platforms SQL ATS Optimization Keywords Hard Skills Data Pipeline Development Machine Learning Methodologies Natural Language Processing Techniques Data Integration Clinical Data Curation Data Abstraction Computational Solutions Bioinformatics Biomedical Engineering Data Science Soft Skills Strong Communication Skills Collaboration Skills Industry Keywords Clinical Data Genomic Data Imaging Data Translational Research Healthcare Datasets Tools & Technologies Git GitHub Cloud-Based Data Environments #J-18808-Ljbffr Jobtailor