Intern - Research Fellow

Summary: eClinicalWorks is a privately held leader in healthcare IT, providing comprehensive, cloud based EHR/PRM solutions to medical professionals worldwide. They are seeking a highly motivated Research Fellow to join their team at the intersection of health service research, data science, and clinical informatics, focusing on manuscript development, applied quantitative analysis, and clinical data insight. Responsibilities: - You will take the lead in preparing manuscripts for high-quality peer-reviewed journals. This includes drafting the methodology, interpreting the policy and clinical relevance of results, and managing the submission and peer-review process. Prior Knowledge & exposure in academic writing and publication is a key factor - You’ll design and run advanced analytics models (e.g., regression, machine learning algorithms) to uncover trends in patient care and health system performance. We don’t just want numbers; we want actionable findings - This position provides a hands-on opportunity with large-scale real-world data. You will contribute to the end-to-end process of extracting and refining data from Electronic Health Records (EHR) and billing systems. Your goal is to transform complex clinical data into a clean, reliable foundation for scholarly and business insight analysis - You’ll stay at the forefront of Health IT and health service research. This involves conducting targeted and systematic literature reviews to ensure our projects are addressing the most current gaps in evidence and practice in a fast-paced field - You will manage the vital "behind-the-scenes" work, including version control on GitHub and ensuring all research follows Institutional Review Board (IRB) and HIPAA privacy standards Required Qualifications: - Advanced proficiency in Python and SQL is essential - Knowledge & exposure working with healthcare utilization, EHR, claims, or other observational clinical dataset is preferred - Knowledge & exposure as a lead or contributing author in peer-reviewed journals - A solid understanding of the healthcare landscape, how clinical data is structured, and quantitative research methods commonly used in applied health research - Candidates must be either Advanced PhD students in a relevant field, such as health services research, healthcare engineering and analytics, epidemiology, biostatistics, health informatics, economics, computer science, or a related discipline, or Postdoctoral researchers with relevant quantitative and publication Knowledge & exposure - A critical thinker who can take a complex data point and explain it clearly to a healthcare executive who may not have a technical background Preferred Qualifications: - If you know your way around R, Java, or other statistical programming environments, that's a great bonus Required Skills: Python, SQL, Healthcare Utilization Data, Electronic Health Records (EHR) Data, Claims Data, Observational Clinical Data, Academic Publishing, Quantitative Research Methods, Health Services Research, Machine Learning, Regression Analysis, Statistical Programming R, Statistical Programming Java