Intern - Data Science

We are eClinicalWorks. We are a privately held leader in healthcare IT, providing comprehensive, cloud based EHR/PRM solutions to medical professionals worldwide to improve workflows and reduce the risk of physician burnout.

We care. We are committed to positive change. And that’s where you come in. Do you value creativity and innovation? Great, so do we. At eClinicalWorks, we share a passion for improving healthcare through dedication, education, and teamwork. Everyone has that one thing they’re really good at. We value your talent and want you to join our fast-paced, fun, and culturally diverse environment. Ready to make a difference? Apply today.

Please note - This role is only eligible for college students who are currently enrolled in a bachelor's or master's program. 

Summary

Our Data Science team leverages advanced analytics and machine learning to transform complex data into meaningful insights that drive strategic business decisions. We work across the organization using cutting-edge tools like Azure, Databricks, and Spark to build scalable models and data-driven solutions.

Responsibilities

• Assist in the design, development, and deployment of data science models and analytical solutions using Python, R, SQL, and Spark
• Work within our Azure cloud environment and Databricks platform to extract, transform, and analyze large-scale datasets
• Apply regression analysis and machine learning techniques (supervised and unsupervised learning) to solve business problems
• Collaborate closely with Tech Leads and cross-functional team members in a fast-paced, team-oriented environment
• Synthesize complex analytical findings into clear, concise conclusions for both technical and non-technical stakeholders
• Participate in code reviews and team stand-ups
• Support data quality assessments, exploratory data analysis, and feature engineering efforts
• Must be enrolled in a Bachelor's or Master's program. Masters preferred
• Computer Science fundamentals in object-oriented design
• Computer Science fundamentals in data structures
• Knowledge of modern programming language such as Java, Python
• Knowledge of frameworks like Spring and Angular
• Knowledge in database design and development using SQL Server
• Good understanding of scalable computing systems, software architecture, data structures, algorithms and experience with large datasets 

Required Qualifications

• Currently enrolled in a Master's degree in Computer Science, Data Science, Mathematics, Statistics, Information Systems, or a closely related quantitative field
• Familiarity with SQL for data querying and manipulation
• Exposure to programming in Python and/or R for data analysis or statistical modeling
• Foundational understanding of regression techniques and machine learning methods, including:
  • Supervised learning (e.g., classification, regression)
  • Unsupervised learning (e.g., clustering, dimensionality reduction
• Familiarity programming in a team environment (e.g., using version control such as Git)
• Quick learner with an analytical approach to solving problems as part of a collaborative team
• Strong communication skills with the ability to synthesize conclusions and present insights to non-expert audiences
• Ability to work effectively with Tech Leads and senior team members
• Desire to influence technical decisions and contribute meaningfully to team discussions

 Preferred qualifications

Familiarity with the following

• Apache Spark or Databricks notebooks
• Azure cloud services (e.g., Azure Data Lake, Azure ML, Azure Synapse)
• Data visualization tools or libraries (e.g., Power BI, Matplotlib, ggplot2, Seaborn)
• Advanced statistical methods, deep learning, or NLP
• Hackathons, Kaggle competitions, or open-source data science projects
• Agile/Scrum methodologies

Compensation:

Hourly Rate Range - $23 - $25 USD

eClinicalWorks is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills, and experiences that bring us together and help create a healthy world.