Job description

About Medicom Medicom is a leading enterprise imaging software company that solves longstanding interoperability challenges for clinicians, staff, patients, and researchers. Its core platform, Connect, supports diverse enterprise imaging interoperability use cases. These include access to prior and unread imaging studies, point-of-care workflows, patient access to images, orders and results workflows for teleradiology, telestroke and trauma, and cross-institution sharing of digital imaging. Medicom's Network is adopted by over 1,000 US healthcare institutions and backed by leading venture capital firms, such as UPMC Enterprises. Data and insights from the Medicom Connect network drive Medicom's Intellect offering, which helps clinicians and researchers advance patient care and develop new therapies. About the role Medicom is seeking a detail-oriented and motivated Research Data Analyst Intern to support our Intellect platform. This intern will play a key role in data discovery, analysis, and sampling processes that support commercial and research projects. This is an excellent opportunity to gain hands-on experience with real-world healthcare data, SQL, Python, and cloud technologies in a dynamic team environment. What you'll do Data Discovery • Perform initial data exploration and cohort identification within data provider environments • Write and execute SQL queries to support data extraction and reporting • Use Python scripts to assist with DICOM data discovery and transformation • Maintain and understand basic data specifications Data Sampling & Delivery • Utilize internal tools to identify and prepare data cohorts • Conduct basic quality control checks on sample data • Prepare and deliver datasets to AWS environments Collections Support • Assist in prepping and executing data collection activities • Support data delivery for internal and external stakeholders Collaboration & Shadowing • Participate in team stand-ups, bi-weekly meetings, and 1:1s with the VP of Intellect • Shadow the Program Manager to gain exposure to: • Salesforce/TaskRay workflows • Work order and pricing documentation • Data specification and setup processes Qualifications Required • Proficiency in Microsoft SQL Server (T-SQL), including: • Writing and troubleshooting SQL queries and stored procedures • Performing ETL processes • Managing database objects (tables, views, constraints, etc.) • Analyzing large datasets for reporting and quality assurance Preferred • Experience with Python for data scripting or automation • Familiarity with healthcare imaging data (DICOM) or interest in healthcare analytics • Exposure to cloud environments such as AWS is a plus Hours: Part-Time (22-25 hours/week, not to exceed 30 hours/week) Hourly Rate: $30/hr Internship Duration: Minimum commitment of 6 months About Medicom Medicom is a leading enterprise imaging software company that solves longstanding interoperability challenges for clinicians, staff, patients, and researchers. Its core platform, Connect, supports diverse enterprise imaging interoperability use cases. These include access to prior and unread imaging studies, point-of-care workflows, patient access to images, orders and results workflows for teleradiology, telestroke and trauma, and cross-institution sharing of digital imaging. Medicom's Network is adopted by over 1,000 US healthcare institutions and backed by leading venture capital firms, such as UPMC Enterprises. Data and insights from the Medicom Connect network drive Medicom's Intellect offering, which helps clinicians and researchers advance patient care and develop new therapies. About the role Medicom is seeking a detail-oriented and motivated Research Data Analyst Intern to support our Intellect platform. This intern will play a key role in data discovery, analysis, and sampling processes that support commercial and research projects. This is an excellent opportunity to gain hands-on experience with real-world healthcare data, SQL, Python, and cloud technologies in a dynamic team environment. What you'll do Data Discovery • Perform initial data exploration and cohort identification within data provider environments • Write and execute SQL queries to support data extraction and reporting • Use Python scripts to assist with DICOM data discovery and transformation • Maintain and understand basic data specifications Data Sampling & Delivery • Utilize internal tools to identify and prepare data cohorts • Conduct basic quality control checks on sample data • Prepare and deliver datasets to AWS environments Collections Support • Assist in prepping and executing data collection activities • Support data delivery for internal and external stakeholders Collaboration & Shadowing • Participate in team stand-ups, bi-weekly meetings, and 1:1s with the VP of Intellect • Shadow the Program Manager to gain exposure to: • Salesforce/TaskRay workflows • Work order and pricing documentation • Data specification and setup processes Qualifications Required • Proficiency in Microsoft SQL Server (T-SQL), including: • Writing and troubleshooting SQL queries and stored procedures • Performing ETL processes • Managing database objects (tables, views, constraints, etc.) • Analyzing large datasets for reporting and quality assurance Preferred • Experience with Python for data scripting or automation • Familiarity with healthcare imaging data (DICOM) or interest in healthcare analytics • Exposure to cloud environments such as AWS is a plus Hours: Part-Time (22-25 hours/week, not to exceed 30 hours/week) Hourly Rate: $30/hr Internship Duration: Minimum commitment of 6 months

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