Staff Associate III

GenomeWeb; New York (NY); On-site; USD 110,000 - 140,000; Full time

Job summary

Columbia University Center for Patient Safety Science (CPSS) seeks a full-time Staff Associate III focused on AI and advanced analytics. The role centers on developing and implementing ML and LLM-based approaches, providing technical leadership, mentoring trainees, and driving high-impact research within CUIMC and partner institutions.

You will lead data analysis, prepare summaries and reports, collaborate across clinicians and data scientists, and stay current with AI advances to improve

Qualifications

• Requires a bachelor's degree or higher in Data Science, CS, or Biostatistics with 4–6 years of experience.
• Ability to work on campus at CUIMC.
• Experience in data analysis, ML, or applied AI.

Responsibilities

• Lead and contribute to data analysis and AI-driven initiatives for CPSS projects.
• Collect, clean, preprocess, and normalize large datasets for analysis and model training.
• Design, build, test, and deploy ML algorithms and predictive models.
• Lead evaluation frameworks for LLMs, including prompt engineering and benchmarking.
• Mentor trainees and supervise students or junior analysts.
• Translate research methods into scalable tools and workflows.
• Collaborate with multidisciplinary teams and external partners.
• Stay current with AI/ML advances to improve workflows.

Skills

Data analysis

Machine learning

Artificial intelligence

Leadership

Mentoring

Project management

Communication

Statistical methods

Education

Bachelor's degree in Data Science, Computer Science, or Biostatistics

Master's degree preferred

Tools

SQL

Python

R

Job description

The Columbia University Center for Patient Safety Science (CPSS) is looking for a full-time Staff Associate III with a focus on artificial intelligence (AI) and advanced analytics. CPSS was launched by Columbia University Irving Medical Center (CUIMC) to advance the science and tools necessary to achieve zero patient harm. The Center brings together multidisciplinary teams of clinicians, researchers, data scientists, statisticians, and others to solve important problems in patient safety to advance the safety and quality of care for patients at CUIMC/NewYork-Presbyterian and around the world.

The successful candidate will be proactive, collaborative and demonstrate the ability to work effectively with others to achieve goals, with minimal supervision on complex assignments. The candidate will play a central role in developing and implementing machine learning and large language model (LLM) based approaches, including providing technical leadership on collaborative projects, mentoring trainees, and contributing to high-impact research initiatives.

Responsibilities

• Lead and contribute to data analysis and AI-driven initiatives for CPSS projects
• Collect, clean, preprocess, and normalize large, complex datasets from various sources to ensure data quality and integrity for analysis and model training
• Organize, integrate, and manage data across multiple systems and formats
• Design, build, test, and implement machine learning algorithms and predictive models using programming languages like Python or R
• Conduct exploratory data analysis and independently generate actionable insights
• Ensure the accuracy and efficiency of the data collection and data entry tools and processes
• Independently prepare summary statistics, tables, figures, and reports for internal and external stakeholders
• Independently conduct advanced data analysis and contribute to study design in collaboration with data scientists and clinician investigators
• Stay current with the latest advancements in AI, machine learning, and data analytics tools, exploring new methodologies to continuously improve workflows and drive innovation
• Design, implement, and lead evaluation frameworks for LLMs, including prompt engineering, benchmarking, and iterative optimization
• Lead the development and implementation of AI/ML and LLM-based applications in patient safety research and serve as technical lead on collaborative projects with internal and external partners
• Translate research methodologies into scalable tools, workflows, and operational applications
• Contribute to abstracts, manuscripts, and conference presentations
• Supervise and mentor medical students, data science trainees, and junior analysts
• Support onboarding and training of new data analysts and team members

Requirements

Minimum Qualifications

• Requires a bachelor's degree or higher in Data Science, Computer Science, or Biostatistics and 4 to 6 years of experience
• Ability to work on campus at Columbia University Irving Medical Center
• Demonstrated experience in data analysis, machine learning, or applied AI

Preferred Qualifications

• Master's degree in Data Science, Computer Science, or Biostatistics
• Proficient in SQL and Python or R
• Background in statistics
• Strong ability to independently perform exploratory and advanced data analysis
• Excellent communicator and ability to work in multidisciplinary teams
• Ability to establish and maintain good working relationships
• Experience working with health care data
• Experience with LLMs, prompt engineering, and evaluation frameworks
• Experience in applying AI/ML methods in healthcare or clinical research settings
• Demonstrated ability to lead technical projects
• Experience mentoring or supervising students or junior staff
• Track record of research dissemination (e.g., publications, conference presentations)

Other Requirements

• Strong project management skills with ability to manage multiple priorities and lead workstreams
• Demonstrated initiative, problem-solving ability, and leadership in complex projects
• Ability to learn new skills and data models