Product Intern-Data Quality

Sorry, this job was removed at 06:02 p.m. (CST) on Thursday, Apr 17, 2025
Rosemont, IL, USA
Hybrid
Artificial Intelligence • Healthtech • Information Technology • Natural Language Processing • Software • Analytics • Generative AI
IMO Health is a clinical data intelligence company, improving how data is used across the healthcare landscape
The Role

Research shows that women and underrepresented groups only apply to jobs only if they think they meet 100% of the qualifications on a job description. IMO Health is committed to considering all candidates even if you don’t think you meet 100% of the qualifications listed. We look forward to receiving your application!


IMO Health is a clinical data intelligence business improving how data is used across the healthcare landscape. Combining rich, highly nuanced medical terminology, extensive domain knowledge, and artificial intelligence (AI), we expertly structure and operationalize clinical data to generate sharper insights and inform more intelligent decision-making.  


This position follows a hybrid work model, with three days onsite (Tuesday through Thursday) at our Rosemont HQ, Chicago, or Houston office.


We’re seeking a motivated Product Intern — Data Quality to join our team. This internship offers hands-on experience in maintaining and improving data accuracy, working closely with product managers, data analysts, and engineering teams. If you have a passion for data integrity, problem-solving, and product development, we want to hear from you!


We have intentions of making a full-time offer to a successful intern in this role. Rising Seniors are preferred for this role.

What You'll Do:

  • Assist in developing and implementing data validation processes to ensure data accuracy and consistency.
  • Collaborate with the product team to identify data discrepancies and suggest corrective actions.
  • Support the creation of data quality dashboards and reports to monitor key metrics.
  • Test and document product features, ensuring data flows correctly across systems.
  • Work with cross-functional teams to gather data requirements for new product features.
  • Conduct research on industry best practices for data governance and quality control.
  • Provide insights and recommendations based on data analysis and trend identification.

What You'll Need:

  • Currently a rising Senior, pursuing a Bachelor’s or Master’s degree in Data Science, Computer Science, Information Systems, Business Analytics, or a related field.
  • Strong analytical skills with proficiency in Excel, Google Sheets, or similar tools.
  • Familiarity with data querying languages (SQL) or data visualization tools is a plus.
  • Excellent problem-solving abilities and attention to detail.
  • Effective communication skills and the ability to work collaboratively in a team environment.
  • Enthusiasm for product management, data quality, and continuous learning.

At IMO Health, we celebrate diversity and are committed to creating an inclusive environment for all employees. IMO Health is proud to be an equal opportunity workplace and is an affirmative action employer. 


IMO Health also provides visa sponsorship opportunities. Please don't hesitate to apply if you meet all the qualifications for this position and require visa sponsorship.

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The Company
HQ: Rosemont, IL
320 Employees
Year Founded: 1994

What We Do

We are a team of dedicated clinical terminologists, data scientists, industry subject matter experts, and informaticists who helped facilitate the evolution from analogue to digital capture of clinical events, the precise code-mapping that simplifies complex workflows, and the translation of unstructured into structured data. We “wrote the digital dictionary” used in every major EHR, and we are leveraging clinical AI to generate insights that expand and deepen our impact across the healthcare ecosystem.   At the end of the day, we don’t make decisions for our clients. We provide them with the digital tools to enable sound decision-making.  

Why Work With Us

We are building a clinical intelligence stack—medical ontology, human expertise, and AI—that makes data more useful and more powerful. By enhancing data’s structure, richness, and precision, we reduce noise and error, streamline complexity, and create clarity across the clinical information chain.

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