Neuromuscular Research Data Analyst

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.

Then we offer…

  • 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.
  • 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) to utilize knowledge from research tools to conduct and analyze research data assuring efficiency and regulatory compliance; collect, compile and perform statistical analysis, data reports and management. The division is eager to determine novel approaches towards quantifying movement through wearable and video technology and develop novel methods of analyzing MRI data to better characterize disease health for individuals with neuromuscular disease. As disease modifying treatments become available in neuromuscular diseases, we are researching novel approaches to better quantify movement and complement current clinical practice working alongside other professionals in radiology, cardiovascular health, and engineering. The RDA will be responsible for running a subset of the neuromuscular division’s investigator initiated studies. This may include data acquisition and analyses of participants undergoing gene therapies, small molecule drug trials, and longitudinal natural history studies. Projects involve working with both pediatric and adults with neuromuscular diseases in both a lab and clinical environment. There are opportunities for long-term growth within the team with the ability to gain critical skillsets for a career in biomedical sciences. These studies will be conducted at the Stanford University Medical Center. Interested candidates should include a CV and Cover Letter addressing how your education and experience relates to the position as described above.

*- Other duties may also be assigned


  • 1-2 years experience in acquiring and/or processing data signals that requires a high level of technical skill and attention to detail.
  • Proficiency with basic programming and scripts (for example, using R, python, MATLAB).
  • Strong general computer skills and ability to quickly learn and master computer programs.
  • Experience in data science with applied statistics, visual and communicating data.
  • Proficiency with Microsoft Office, Word, Excel and various 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 both independently and as part of a diverse multidisciplinary team in a collaborative manner.
  • Ability to determine workload priorities in an appropriate way to accomplish tasks and goals, 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 skill.
  • Good oral and written communication skills to effectively work and publish data with clinicians and researchers.
  • Excellent organizational skills and attention to detail in maintaining accurate, retrievable records.


Bachelor’s degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering.


  • Substantial experience with MS Office and analytical programs.
    • Strong writing and analytical skills.
    • Ability to prioritize workload; efficient utilization of time management.


  • Frequently stand, walk, twist, bend, stoop, squat and use fine light/fine grasping.
  • Occasionally sit, reach above shoulders, perform desk based computer tasks, use a telephone and write by hand, lift, carry, push, and pull objects that weigh up to 40 pounds.
  • Rarely kneel, crawl, climb ladders, grasp forcefully, sort and file paperwork or parts, rarely lift, carry, push, and pull objects that weigh 40 pounds or more.
  • Sitting in place at computer for long periods of time with extensive keyboarding/dexterity.
  • Occasionally use a telephone.
  • Rarely writing by hand.

*- Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.


Some work may be performed in a laboratory or field setting. Occasional evening and weekend hours.


  • Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
  • Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.
  • Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University’s Administrative Guide,

The expected pay range for this position is $64,480 to $93,000 per annum.
Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.

School of Medicine employees who are patient-facing, work in, or frequent clinical and hospital areas for work purposes are considered as healthcare workers. This position is considered a healthcare worker and will need to comply with the Stanford Medicine vaccination requirements including the primary series of COVID 19 vaccine.

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