Data Scientist
Listed on 2025-04-23
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Research/Development
Clinical Research, Research Scientist, Data Scientist, Medical Science -
Healthcare
Clinical Research, Data Scientist, Medical Science
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Job Summary- DATE POSTED 2 days ago
- Schedule Full-time
- Job Code 4751
- Employee Status Regular
- Grade G
- Requisition
The Department of Ophthalmology at Stanford University School of Medicine is seeking a highly motivated, hard-working and professional Data Scientist to facilitate research efforts in ophthalmology. The incumbent will be part of the department of ophthalmology: however, the position will be in a collaborative environment, engaging with other Stanford faculty and staff across multiple departments, including Biomedical Informatics, Research IT, and Research Informatics Center.
The incumbent will work with a combination of structured and unstructured (text, imaging) data from several sources, including Stanford’s STARR and STARR-OMOP clinical research databases, the ophthalmology IRIS (Intelligent Research In Sight) national clinical data registry, commercial and Medicare claims data, national survey data, and other sources.
The position will require an incumbent who is comfortable working with some independence; consulting with and advising investigators to refine research questions, define hypotheses and project objectives, design studies and devise analysis plans; and working with project team members—including clinicians, trainees, and other statisticians/informaticists—to implement analysis plans and publish findings. The incumbent must be proficient at balancing involvement in multiple simultaneous projects and prioritizing to manage competing priorities.
The incumbent will work closely with others to interrogate databases to create analytic files, perform quality control and data cleaning, and manage and analyze data. The incumbent must be an excellent and timely communicator, able to present results in oral and written form to clinical investigators.
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.
- 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
The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory for all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility.
Employees may also perform other duties as assigned.
Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.
The expected pay range for this position is $82,468 to $106,256 annually. 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,…
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