Neuromuscular Research Data Analyst

Neuromuscular Research Data Analyst – Stanford University, School of Medicine, California, United States. Posted on Nov 12, 2025. Requisition #107725.

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?

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

• The opportunity to work in a collaborative team of neuromuscular investigators.
• The chance to contribute to describing and understanding the impact of treatments in neuromuscular disorders.
• An exciting and positive environment where you will always learn new things.
• Teamwork and camaraderie.
• Competitive full‑time salary.
• Excellent Stanford benefits.

The Neuromuscular Division of Neurology is seeking a Research Data Analyst (RDA) with clinical data management experience to utilize research tools, conduct and analyze research data, and ensure regulatory compliance. The role focuses on clinical data management and primarily supports the lab’s clinical data collection systems. Expect to use REDCap database design, form creation, and to align with administrative and research data governance.

A successful candidate will serve as the primary data manager for multiple clinical research studies, ensuring data integrity and efficient data flow from collection through analysis. SQL experience or familiarity with Google Cloud is preferred. Projects involve working with both pediatric and adult patients in lab and clinical settings, providing opportunities for long‑term growth and critical skill development in biomedical sciences.

Studies will be conducted at the Stanford University Medical Center. Candidates should submit a CV and cover letter addressing how their 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 potential data problems, correct them, determine root causes, and suggest solutions.
• Develop reports, charts, graphs, and tables for 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.
• Ensure data compliance.
• Other duties may also be assigned.

• 1–2 years experience acquiring and/or processing data signals requiring a high level of technical skill and attention to detail.
• Proficiency with basic programming and scripts (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, visual, and communicative data.
• Proficiency with Microsoft Office, Word, Excel, and industry‑oriented electronic data capture programs.
• Experience with database, data management, REDCap, IRB requirements, and the Stanford clinical research environment highly desirable.
• Ability to work independently and as part of a diverse multidisciplinary team in a collaborative manner.
• Ability to determine workload priorities to accomplish tasks and meet deadlines.
• Takes initiative with good problem‑solving skills to anticipate and solve problems.
• Experience working with patients in a clinic or research setting.
• Strong analytical skills.
• Good oral and written communication skills to effectively…