Neuromuscular Research Data Analyst

Overview

School of Medicine, Stanford, California, United States. Information Analytics. Requisition #107725. Post Date:
Nov 12, 2025.

Do you want to help Stanford University find better ways to measure strength, function and health for individuals with Neuromuscular Disease including Muscular Dystrophies, Spinal Muscular Atrophy, Amyotrophic Lateral Sclerosis, Inherited Neuropathies, and other conditions?

If you…

• Enjoy working directly with patients and their families in clinic and at research visits.
• Are excited to work with people affected by neuromuscular disorders.
• Are excited to work with clinicians, scientists, engineers and research associates.
• Are exceptionally organized and can balance multiple projects at one time.
• Have excellent time management and can meet deadlines.
• Work well in a dynamic team utilizing novel technologies to integrate knowledge and answer research questions.
• Enjoy learning new skills.
• Enjoy translating data to address research gaps.

If you are selected, you will join a collaborative team of neuromuscular investigators and contribute to describing and understanding the impact of treatments in neuromuscular disorders.

The Neuromuscular Division of Neurology is seeking a Research Data Analyst (RDA), with clinical data management experience to utilize knowledge from research tools to conduct and analyze research data ensuring efficiency and regulatory compliance; collect, compile and perform statistical analysis, data reports and management.

The division is exploring novel approaches to quantify movement through wearable and video technology and develop methods of analyzing MRI data to characterize disease health for individuals with neuromuscular disease. The role supports clinical data collection systems, primarily using REDCap for database design and form creation, and aligns with administrative and research data governance. The successful candidate would serve as the primary data manager for multiple clinical research studies, ensuring data integrity, regulatory compliance, and efficient data flow from collection through analysis.

Learning SQL or experience with Google Cloud is preferred.

Projects involve working with both pediatric and adult participants in lab and clinical environments. There are opportunities for long-term growth within the team with the ability to gain critical skills for a career in biomedical sciences. Studies will be conducted at the Stanford University Medical Center.

Interested candidates should include a CV and cover letter addressing how education and experience relate to the position described above.

• Collect, manage and clean datasets.
• Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data.
• Use system reports and analyses to identify potentially problematic data, make corrections, determine root cause for data problems from input errors or inadequate field edits, and suggest solutions.
• Develop reports, charts, graphs and tables for use by investigators and for publication and presentation.
• Collaborate with faculty and research staff on data collection and analysis methods.
• Communicate with government officials, grant agencies and industry representatives.
• Design, develop, and maintain REDCap databases.
• Data compliance and governance.
• Other duties may also be assigned.

• 1-2 years experience in acquiring and/or processing data signals requiring technical skill and attention to detail.
• Proficiency with basic programming and scripting (e.g., R, Python, MATLAB, SQL).
• Strong general computer skills and ability to quickly learn and master computer programs.
• Experience in data science with applied statistics, data visualization and communication.
• Proficiency with Microsoft Office, Word, Excel and various EDC programs.
• Experience with databases, data management, REDCap, IRB requirements and Stanford clinical research environment is highly desirable.
• Ability to work independently and as part of a diverse multidisciplinary team.
• Ability to determine workload priorities, meet deadlines and manage tasks efficiently.
• Initiative with strong problem-solving skills to anticipate and solve problems.
• Experience…