"Research Data Analyst 1"

The Stanford Autonomic Disorders Program in the Department of Neurology & Neurological Sciences, is seeking to hire a Research Data Analyst 1 to manage and analyze large amount of physiological data for clinical projects on autonomic disorders.

We are seeking a Research Data Analyst who will work with the team under the guidance of supervisors to organize and maintain a database of autonomic dysfunction in small fiber neuropathies, Long-COVID/PASC, hypersomnia, and aid in the preprocessing and analysis of other physiological and patient-reported data collected in the Autonomic Discords Program. The candidate will work in closely with the investigators in the division to implement and execute analysis pipelines for data collected within the division as well as with collaborators in other divisions and departments.

Duties include*:

• Collect, manage and clean datasets.
• Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data.
• Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements.
• Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions.
• Develop reports, charts, graphs and tables for use by investigators and for publication and presentation.
• Analyze data processes in documentation.
• Collaborate with faculty and research staff on data collection and analysis methods.

* - Other duties may also be assigned.

DESIRED QUALIFICATIONS:

• Minimum 2 years of Statistics, Biostatistics, Bioinformatics or related field experience preferred.
• Experience using machine learning algorithms in Prism, MATLAB, and Python.
• Skilled in R, SQL, C++ (STL), Frameworks and Libraries:, Pandas, NumPy, PyTorch.
• Computer vision and machine learning (e.g., image segmentation, clustering, and classification models).
• Familiarity with REDCap, Excel-based data capture, and research documentation.
• Ability to multi-task various projects with different timelines.
• Ability to collaborate with senior investigators.
• Relevant background in Neuroscience, Neurology, Cognitive Science, Psychology or related field.
• Strong communication of analytical findings to both clinical and research teams.

EDUCATION & EXPERIENCE (REQUIRED):

Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative Neuroscience, Neurology, Cognitive Science, Psychology or related field executing data analysis. Master’s degree preferred.

KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):

• Substantial experience with MS Office and analytical programs such as Python, R, SQL, C++ (STL).
• Strong writing and analytical skills.
• Ability to prioritize workload.
• High level of self-motivation and ability to work independently.
• Resourcefulness, careful attention to detail, and strong organizational skills.
• High tolerance for ambiguity, demonstrated flexibility, and a willingness to accept new responsibilities.

PHYSICAL REQUIREMENTS*:

• 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.

WORKING CONDITIONS:

Some work may be performed in a laboratory or field setting.