Data Science Analyst 2

About This Role

This role will provide technical leadership in advancing computational health research capabilities for the Department of AI & Health. It combines hands-on data science expertise with team leadership, focusing on complex research projects involving various medical data types.

Responsibilities

• Contribute to the design, development, and implementation of software solutions throughout the full development lifecycle
• Collaborate with team members to ensure solutions are scalable, secure, and aligned with organizational goals
• Analyze complex problems and propose innovative, practical solutions that support research and operational needs
• Support the deployment, maintenance, and enhancement of applications and databases to meet user and project requirements
• Work closely with stakeholders to understand needs, translate requirements into actionable plans, and ensure systems operate reliably and efficiently
• Engage effectively with technical and non-technical audiences to gather requirements, share progress, and provide guidance
• Contribute to user documentation and training materials to enhance usability and adoption
• Provide mentorship and guidance to junior developers, encouraging professional growth and skill development
• Lead by example in promoting best practices, problem-solving, and adaptability within the team

Requirements

• Bachelor's degree in Data Science, Computer Science, Biomedical Informatics, Statistics, Engineering, or a related field
• Three years' related experience
• Advanced knowledge of Microsoft, open-source, and web standard technologies
• Proficiency in Python, R, and data manipulation libraries (e.g., pandas, scikit-learn, TensorFlow/PyTorch)
• Excellent communication skills and ability to translate complex technical findings for non-technical stakeholders

Qualifications

• Bachelor's degree from an accredited college or university in Data Science, Computer Science, Biomedical Informatics, Statistics, Engineering, or a related field
• Three years' related experience post Bachelor's degree

Nice to Have

• Prior involvement in healthcare, academic operations, or public sector analytics
• Familiarity with EHR systems (Epic, Encompass) or academic admissions systems (AMCAS)
• Demonstrated experience with machine learning, natural language processing (NLP), or AI model development
• Experience working with clinical, academic, or institutional datasets

Skills

* Required skills

Benefits