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    Student Assistant - Gainesville, United States - University of Florida

    University of Florida
    University of Florida Gainesville, United States

    3 weeks ago

    Default job background
    Description
    Student Assistant - Technical Specialist

    Apply now )

    Job no: 531542


    Work type:
    Student Ast


    Location:
    Main Campus (Gainesville, FL)


    Categories:
    Computer Science, Grant or Research Administration


    Department:
    MD-OFFICE OF RESEARCH


    Classification Title:
    Student Assistant - Technical Specialist


    Job Description:


    The UF College of Medicine's Office of Research is seeking a motivated graduate or undergraduate student to join the team as a Student Assistant - Technical Specialist.

    The Office of Research fosters research excellence, improves the environment for basic, translational, and clinical sciences and facilitates research discoveries that will ultimately lead to advances in health care outcomes.

    This role offers a unique opportunity to contribute to the technical oversight and enhancement of various projects within the Office of Research, supporting the mission of innovation in healthcare.

    This position offers a flexible work schedule to accommodate academic commitments, an opportunity to gain hands-on experience in technical project management and implementation, exposure to innovative projects and initiatives within the Office of Research community, as well as professional development opportunities and networking events.

    Join the Office of Research team and be at the forefront of groundbreaking medical research

    About This Role

    Collaborate with cross-functional teams to support technical projects and initiatives within the Office of Research.

    Assist in the design, implementation, and maintenance of data warehouse architecture to support data analytics and reporting needs.


    Participate in the development and support of Extract Transform Load (ETL) processes for integrating diverse datasets from clinical and research sources.


    Participate in the development and deployment of NLP (Natural Language Processing) and ML (Machine Learning) models for analyzing healthcare data and extracting insights.

    Design and develop front-end interfaces and visualizations to facilitate data exploration and interpretation for researchers and stakeholders.

    Implement scalable and efficient back-end solutions to support data processing, analysis, and storage requirements.

    Conduct quality assurance testing to ensure the reliability and accuracy of technical solutions.

    Monitor and optimize technical solutions for efficiency and performance.

    Maintain comprehensive documentation of technical processes and procedures.

    Foster collaboration and effective communication with team members and stakeholders.


    Expected Salary:
    $ $17.00 per hour


    Minimum Requirements:


    This position is open to all students who are eligible to work on campus and will be employed through student Other Personnel Services (OPS) and must maintain a minimum 2.0 grade point average.


    Preferred Qualifications:


    Enrolled as a graduate or undergraduate student in a computer science or related field program at the University of Florida.

    Proficiency in Python, JavaScript.

    Experience with NLP and ML frameworks/libraries such as NLTK, spaCy, TensorFlow, or PyTorch.

    Familiarity with front-end technologies such as React or Angular

    Proficiency in back-end development using frameworks such as Flask, Django, or

    Knowledge of containerization and orchestration technologies (e.g., Kubernetes, Docker).

    Strong understanding of data management principles and experience with relational and/or NoSQL databases.

    Knowledge of data engineering principles and tools for data ingestion, transformation, and integration (e.g., Apache Kafka) is a plus.

    Quick learner with the ability to adapt to new technologies and tools.

    Excellent communication and interpersonal skills.

    Ability to collaborate effectively in a multidisciplinary research environment.


    Special Instructions to Applicants:

    To be considered you must upload:
    Cover letter

    Resume

    Federal Work Study award documentation for Summer 2024 (if applicable)

    Availability/class schedule


    Federal work study eligible students are welcome Students seeking a federal work study job, please print a copy of your Financial Aid Award Page, which contains the Federal Work Study award, and have available if invited for interview as proof of FWS eligibility.

    To print yourFinancial Aid Award Page ) . Please contact Student Financial Aid if you have questions about your eligibility.

    Application must be submitted by 11:55 p.m. (ET) of the posting end date.


    Health Assessment Required:
    No

    Advertised: 15 May 2024 Eastern Daylight Time

    Applications close: 28 May 2024 Eastern Daylight Time
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