Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

Here are a few things you should know:
  • This site is mobile friendly. You do not need a log-in or password to access information.
  • Jobs on this site are original and unduplicated and come from three sources: the Federal government, state workforce agency job banks, and corporate career websites. All jobs are vetted to ensure there are no scams, training schemes, or phishing.
  • The site is refreshed daily to remove out-of-date content.
  • The newest jobs are listed first, so use the search features to match your interests. You can look for jobs in a specific geographical location, by title or keyword, or you can use the military crosswalk. You may want to do something different from your military career, but you undoubtedly have skills from that occupation that match to a civilian job.

Job Information

University of Florida Student Assistant Data Management in Gainesville, Florida

Student Assistant Data Management

Apply now (https://secure.dc4.pageuppeople.com/apply/674/gateway/default.aspx?c=apply&lJobID=533007&lJobSourceTypeID=796&sLanguage=en-us) Job no: 533007

Work type: Student Ast, Temp Part-Time

Location: Main Campus (Gainesville, FL)

Categories: Allied Health, Artificial Intelligence, Health Care Administration/Support

Department: 29051308 - MD-MED QUANTITATIVE HEALTH

Classification Title:

OPS Data Management

Job Description:

PrismaP is a multi-disciplinary laboratory focused on developing and providing sustainable support and leadership for transformative medical AI research, education, and clinical applications to advance patients' health in critical and acute care medicine. The Lab addresses an unprecedented opportunity for world-leading ambient, immersive, and artificial intelligence (AI2) research and innovation to transform the diagnosis, monitoring, and treatment for critically and acutely ill patients using the multimodal clinical and research data and resources from UF Health (UFH), one of Florida’s largest health care systems.

We are looking for motivated and qualified graduate students to join our team and contribute to developing a real-time pervasive sensing pipeline using Kafka for our Intelligent Hospital Digital Twin project, supporting transformative medical AI research and clinical applications.

Responsibilities:

  • Data Management and Structure:

  • Determine data formats, frequency of data collection, and required data storage structures for efficient and accurate data handling.

  • Risk Assessment and Infrastructure Evaluation:

  • Collaborate with UF Health IT to assess risks and evaluate the existing IT infrastructure, ensuring it supports the deployment of a Kafka-based data streaming pipeline.

  • Network and Kafka Deployment:

  • Set up a robust and secure network infrastructure for real-time data transmission. Plan, configure, and deploy Kafka clusters, including hardware and software requirements, and perform end-to-end testing of the streaming pipeline.

Expected Salary:

$18/hr

Minimum Requirements:

  • Proficiency in Python and SQL for data analysis and automation.

  • Experience with Linux data servers and managing real-time data streaming services, including Apache Kafka.

  • Knowledge in building and maintaining real-time ETL pipelines.

Preferred Qualifications:

  • Experience with system management tools such as Docker and Kubernetes.

  • Familiarity with healthcare data security and compliance standards.

  • Strong analytical and problem-solving skills, with the ability to work both independently and collaboratively.

Special Instructions to Applicants:

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

Health Assessment Required:No

Advertised: 06 Sep 2024 Eastern Daylight Time

Applications close: 20 Sep 2024 Eastern Daylight Time

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