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Research Data Analyst 1, Cardiothoracic Surgery

Stanford University's Cardiothoracic Department is seeking a highly skilled and motivated researcher to join our team as a Research Data Analyst 1. In this role, you will be responsible for managing and analyzing large amounts of health information with the goal of improving patient care and management.

As a researcher, you will work closely with the department's surgeons, physicians, and researchers to develop and implement advanced data analysis and modeling techniques. You will be responsible for creating and implementing machine learning algorithms that can predict patient outcomes and improve clinical decision-making. You will also be responsible for designing and implementing new data collection methods to improve the accuracy and quality of the data.

To be successful in this role, you should have a strong background in machine learning, data analysis, and statistics. You should also have experience working with large and complex data sets, as well as the ability to develop and implement machine learning models in Python, R, or other programming languages. Additionally, experience with medical data and electronic health records is highly desirable.

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.
  • Provide documentation based on audit and reporting criteria to investigators and research staff.
  • Communicate with government officials, grant agencies and industry representatives.

* - Other duties may also be assigned.

  • Strong foundation in computer science and mathematics, including data structures, algorithms, linear algebra, calculus, and probability theory.
  • Expertise in data processing and ETL (Extract, Transform, Load) pipelines, including data integration, data quality, data normalization, and data transformation.
  • Proficiency in programming languages such as Python.
  • Strong knowledge of machine learning algorithms and models, including deep learning, natural language processing, computer vision, and recommendation systems.
  • Familiarity with data visualization and reporting tools such as matplotlib.
  • Excellent communication and collaboration skills to work effectively with cross-functional teams, including physicians, and software engineers.

  • 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.

  • 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.

  • 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.

As an organization that receives federal funding, Stanford University has a COVID-19 vaccination requirement that will apply to all university employees, including those working remotely in the United States and applicable subcontractors. To learn more about COVID policies and guidelines for Stanford University Staff, please visit