Research Intern

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Hiring Remotely in USA
Remote
20-30 Annually
Internship
Artificial Intelligence • Healthtech • Software
The Role
The Research Intern will assist in data curation, exploratory analysis, and implementation of machine learning models in healthcare applications.
Summary Generated by Built In
Remote

Objective: The Research Intern will assist in the curation of medical imaging and clinical report data and the development of AI-powered analysis pipelines based on machine learning and data science principles. By the end of the internship, the goal will be to submit a scientific abstract at a conference.   

Key Responsibilities: 

  • Organize, clean, and curate medical imaging datasets with associated radiology reports to ensure data quality and consistency for downstream analysis 
  • Conduct exploratory data analysis and create visualizations to identify patterns, trends, and anomalies in imaging and clinical datasets 
  • Perform quality assurance checks on processed data and analysis outputs to validate accuracy and reliability 
  • Support the implementation of machine learning models such as image-based classification, segmentation, and natural language processing of clinical reports 
  • Document code, workflows, analysis methodologies, and results to ensure reproducibility and knowledge transfer 
  • Collaborate cross-functionally with other teams to understand clinical context and refine analysis approaches 
  • Participate in regular team meetings and present findings through written summaries and oral presentations 

Minimum Qualifications (Knowledge, Skills, and Abilities) 

  • Education: Currently enrolled in a degree-granting program in Computer Science, Biomedical Engineering, Data Science, Statistics, or a related technical field. 
  • Technical SkillsProficiency in Python programming and familiarity with data science and ML libraries (pandas, NumPy, scikit-learn, PyTorch). Exposure to SQL is a plus. Experience or strong interest in medical imaging, computer vision, and/or natural language processing. 
  • Analytical Skills: Strong quantitative analytical abilities and curiosity about healthcare applications. 
  • Communication: Excellent written and verbal communication skills, with the ability to present complex information clearly and concisely. 
  • Attention to Detail: High level of accuracy and attention to detail. 
  • Problem Solving: Strong problem-solving skills and the ability to think critically.    

Essential Job Functions: HOPPR is committed to providing reasonable accommodation to employees with disabilities, as required by law. We encourage those with disabilities to request accommodations if needed to perform the essential functions of the job. 

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.  

  • While performing the duties of this job, the employee may be regularly required to stand, sit, talk, hear, reach, stoop, kneel, and use hands and fingers to operate a computer, telephone, and keyboard. 
  • Specific vision abilities required by this job include close vision requirements due to computer work. 
  • Regular, predictable attendance is required; including quarter-driven hours as business demands dictate. 

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 

  • Ability to sit at a computer terminal for an extended period. 
  • Moderate noise (i.e., phone calls, online meetings, computer audio). 
Remote - USA
$20$30 USD

Top Skills

Numpy
Pandas
Python
PyTorch
Scikit-Learn
SQL
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The Company
HQ: Chicago, IL
49 Employees
Year Founded: 2019

What We Do

HOPPR is building the first multimodal AI foundation model for medical imaging - founded by Khan Siddiqui, (CEO - founder of higi) and Oliver Chen (COO - founder of ilumihealth, acquired by Fosun Pharma) to accelerate AI application development and fine-tuning of AI models. Its deep learning platform is based on a proprietary privacy-compliant trust architecture that brings together data sources and AI/ML developers.

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