• Research Data Analyst 1

    Stanford University (Stanford, CA)


    Research Data Analyst 1

     

    School of Medicine, Stanford, California, United States

     

    New

     

    Research

     

    Post Date 2 days ago

     

    Requisition # 106492

     

    Stanford University is seeking a Research Data Analyst 1 to manage and analyze large amounts of healthcare data for machine learning applications in the department of biomedical data science.

    Duties include:

    • Collect, manage and clean datasets.

    • Employ existing tools to interpret, analyze, and visualize multivariate relationships in data.

    • Develop machine learning models

    • Create databases and reports, and perform basic 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 research staff on data collection and analysis methods.

    • Contribute to research papers sharing our findings

    • 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 of 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._

     

    The expected pay range for this position is $82,468 to $106,256 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.

     

    At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanford’s extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.

     

    Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources [email protected]. For all other inquiries, please submit acontact form.

     

    _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. Stanford welcomes applications from all who would bring additional dimensions to the University's research mission._

    DESIRED QUALIFICATIONS:

    Bachelor's degree at minimum, masters preferred. Experience in a quantitative discipline such as statistics, computational biology, computer science, or engineering.

     

    • Programming experience in Python

    • Experience with building and testing machine learning models

    EDUCATION & EXPERIENCE (REQUIRED):

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

    KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):

    • Substantial experience with MS Office and analytical programs.

    • Strong writing and analytical skills with attention to detail

    • Ability to prioritize workload.

    CERTIFICATIONS & LICENSES:

    None

    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:

    Work will be mostly performed in a person in an office setting, with flexibility to allow remote work when needed.

    Additional Information

    + **Schedule: Full-time**

    + **Job Code: 4751**

    + **Employee Status: Regular**

    + **Grade: G**

    + **Requisition ID: 106492**

    + **Work Arrangement : Hybrid Eligible**