Health Data Science/AI Associate

New graduates and early-career professionals are strongly encouraged to apply. Prior professional experience is welcomed but not required. This is a six-month role, with the possibility to extend to a second six-month period.

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  Participate as an active member of multidisciplinary project teams supporting health research initiatives.
  
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  Assist with the engineering, preparation, transformation, and analysis of large clinical and administrative datasets.
  
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  Develop and maintain SQL and Python code to support data extraction, integration, quality improvement, and analytics.
  
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  Contribute to cloud-based data engineering initiatives supporting AI-ready infrastructure.
  
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  Assist in implementing and improving data pipelines, workflows, and automated processes.
  
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  Support the development, evaluation, and responsible use of AI-enabled tools that improve research and operational efficiency.
  
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  Work with health data standards and common data models, including concepts such as OMOP and HL7/FHIR.
  
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  Participate in data validation, quality assurance, and documentation activities to ensure reproducibility and integrity.
  
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  Prepare technical documentation, process documentation, and project summaries.
  
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  Present project updates and findings to mentors, supervisors, and project teams.
  
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  Participate in team meetings, knowledge-sharing activities, and professional development opportunities.
  
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  Demonstrate appropriate stewardship of sensitive health information while adhering to security, privacy, and compliance requirements.
  
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  Perform other related duties as assigned.
  

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  Data Science
  
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  Health or Biomedical Informatics
  
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  Computer Science
  
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  Data Engineering
  
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  Statistics
  
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  Information Science
  
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  Applied Mathematics
  
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  Related quantitative discipline
  

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  Coursework, academic research, internships, or project experience involving programming, data analysis, AI, or data science.
  
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  Basic proficiency with SQL, Python, or another programming language.
  
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  Demonstrated analytical thinking and problem-solving skills.
  
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  Strong written and verbal communication skills.
  
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  Ability to collaborate effectively with mentors, scientists, engineers, analysts, and project teams.
  
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  Ability to prepare technical documentation and communicate technical concepts clearly.
  
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  Intellectual curiosity, initiative, and willingness to learn new technologies.
  
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  Commitment to protecting confidential and sensitive health information.
  

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  Cloud computing platforms
  
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  Machine learning or artificial intelligence
  
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  Clinical or healthcare data
  
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  Data visualization tools
  
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  Git or source code management
  
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  Health data standards such as OMOP, HL7, or FHIR
  

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  Learning Agility
  
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  Analytical Thinking
  
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  Collaboration
  
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  Communication
  
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  Accountability
  
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  Curiosity and Innovation
  
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  Professionalism
  
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  Adaptability
  
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  Continuous Improvement
  

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  Ability to sit and/or stand for extended periods.
  
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  Manual dexterity sufficient to operate a computer, keyboard, and related office equipment.
  
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  Occasional lifting or carrying of materials weighing up to 20 pounds.
  

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  Work with a variety of diverse professionals in the healthcare industry
  
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  Free parking
  
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  Paid holidays, vacation, and sick time
  
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  Group Life and Voluntary Term Life insurance
  
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  Long-term and Short-term Disability plans
  
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  Employee Assistance Program (EAP)
  
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  Flexible Spending Account (FSA)
  
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  403b Retirement Plan with gracious employer contributions
  
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  Fitness program
  
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  Pet insurance
  
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  Qualified employer for loan forgiveness