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Work Study Teen Computer Science Jobs in Wimauma, FL

Work experience may NOT substitute for education requirement. Preferences ... Doctor of Philosophy (PhD) in biomedical informatics, computing, computer science, data science ...

Bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT project work on the technologies needed Highly motivated, self-learner ...

Bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT project work on the technologies needed Highly motivated, self-learner ...

Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial ... work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in ...

Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial ... work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in ...

Showing results 41-60

Work Study Teen Computer Science information

See Wimauma, FL salary details

$44K

$64.7K

$76.3K

How much do work study teen computer science jobs pay per year?

As of Aug 10, 2026, the average yearly pay for work study teen computer science in Wimauma, FL is $64,686.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,300.00 and $72,800.00 per year, depending on experience, location, and employer.

What jobs can you get with a work study teen computer science?

Work-study teens in computer science can typically find roles such as computer lab assistants, IT support aides, programming tutors, or entry-level software development positions. These jobs often involve tasks like troubleshooting, coding, or assisting with technical projects, and may require basic knowledge of programming languages and computer systems.

What jobs can I get while studying computer science?

Work Study Teen Computer Science students can pursue roles such as computer lab assistants, IT support aides, or entry-level programming internships. These jobs often involve basic technical tasks, troubleshooting, or coding projects, and may require familiarity with programming languages, software tools, or hardware setup. They provide practical experience and can be scheduled around academic commitments.

What is the difference between Work Study Teen Computer Science vs Work Study Teen Information Technology?

AspectWork Study Teen Computer ScienceWork Study Teen Information Technology
Required CredentialsHigh school diploma or equivalent; basic programming knowledgeHigh school diploma or equivalent; familiarity with IT concepts
Work EnvironmentComputer labs, classrooms, or office settingsOffice environments, tech support centers, or labs
Employer & Industry UsageEducational institutions, tech companies, or government programsEducational institutions, tech firms, or IT service providers
Common Search & ComparisonYesYes

Work Study Teen Computer Science focuses on programming, coding, and software development tasks, while Work Study Teen Information Technology emphasizes broader tech support, hardware, and network management. Both roles often require similar educational backgrounds and are used in educational and tech environments. The main difference lies in the specific skill sets and job responsibilities.

What are the key skills and qualifications needed to thrive as a Work Study Teen Computer Science, and why are they important?

To excel as a Work Study Teen in Computer Science, you need a basic understanding of programming concepts, problem-solving abilities, and a strong academic standing in math or related coursework. Familiarity with common programming languages (like Python or Java), office productivity software, and possibly introductory coding platforms is helpful. Initiative, effective time management, and the ability to collaborate or seek guidance are standout soft skills for this role. These abilities allow you to contribute meaningfully to projects, learn quickly, and gain valuable experience for future computer science opportunities.

What types of projects or tasks can I expect to work on as a Work Study Teen Computer Science?

As a Work Study Teen Computer Science employee, you can expect to assist with basic coding assignments, help maintain computer labs, support software or hardware troubleshooting, and participate in team projects such as simple app or website development. You may also be asked to assist fellow students with programming concepts or collaborate with staff on technology initiatives. The role often provides hands-on experience in both technical tasks and teamwork, making it an excellent stepping stone for further studies or careers in computer science.

What is a Work Study Teen Computer Science?

A Work Study Teen Computer Science position is a part-time job opportunity for high school or college students, typically supported by a school's work-study program, where students gain hands-on experience in computer science fields. These roles often include tasks like assisting with coding projects, providing technical support, or helping with IT-related duties in educational or nonprofit settings. It allows teens to earn money while learning valuable technical skills and gaining exposure to real-world computer science work environments.
What cities near Wimauma, FL are hiring for Work Study Teen Computer Science jobs? Cities near Wimauma, FL with the most Work Study Teen Computer Science job openings:

Full-time

Re-posted 29 days ago


UAB Medicine rating

7.3

Company rating: 7.3 out of 10

Based on 189 frontline employees who took The Breakroom Quiz

305th of 887 rated healthcare providers


Job description

Position Summary

The University of Alabama at Birmingham invites qualified candidates to apply for a Scientist III position in the Systems Pharmacology AI Research Center (SPARC) department. The candidate will frequently encounter high-level complexities that demand sharp judgment and rigorous decision-making. The role requires deep technical expertise across AI for science protein and antibody design, AI-driven molecular dynamics, agentic AI and autonomous research systems, clinical trial simulations, virtual cell modeling, multi-modal drug discovery, and retrosynthesis; combined with a strategic orientation toward research planning, execution, and translation. The selected candidate will lead the development of novel AI models and software systems that form essential components of SPARC's AI-accelerated drug discovery pipeline, direct in silico computational studies, and lead lab-in-the-loop collaborations with UAB, regional, and national experimental partners. Obtaining AI drug discovery research funding as a Co-Principal Investigator or Co-Investigator on extramural grant proposals is a major and recurring responsibility, alongside leading SPARC service activities not covered by existing external funding and authoring scientific manuscripts, progress reports, and grant documentation. Active research areas include protein and antibody design, novel AI approaches to molecular dynamics simulations, agentic AI and autonomous systems for science, clinical trial simulations, virtual cell modeling, multi-modal drug discovery, retrosynthesis, and AI for science more broadly. Excellent office, programming, and communication skills are essential. SPARC offers GPU/HPC infrastructure, large biomedical data assets, deep clinical partnerships, and direct opportunities to translate methodological advances into impact across the UAB School of Medicine.

General Responsibilities

  • To interpret, organize, execute and coordinate research assignments.

  • To formulate and conduct research on problems of considerable scope and complexity.

  • To explore subject area and define scope and selection of problems for investigation through conceptually related studies or series of projects of lesser scope.

Key Duties & Responsibilities

  1. Research Direction: Deciding the focus of the lab's research agenda, including selection of research projects that align with both current scientific needs and future potential.

  2. Methodological Choices: Making choices about research methodologies, including the selection of appropriate AI algorithms, data sources, and experimental designs that maximize the potential for impactful findings.

  3. Resource Allocation: Determining how to allocate limited resources, such as lab equipment, funding, and personnel time, in a manner that optimally supports ongoing and future research efforts.

  4. Team Leadership: Making decisions about the mentoring and development of research staff, prioritizing areas for skills development and guiding research assistants and interns toward achieving lab and project goals.

  5. Funding Opportunities: Identifying and prioritizing grant and external funding opportunities that will offer the highest yield for the lab's objectives, including making decisions on when and how to pursue these opportunities.

  6. Commercial Partnerships: Judging the viability and potential of industrial and commercial collaborations and deciding the terms under which these collaborations will proceed to ensure the mutual benefit of all stakeholders.

  7. Publication and Dissemination: Deciding when research findings are robust and significant enough for publication and choosing the appropriate platforms and journals for dissemination to ensure maximum impact.

  8. Perform other duties as assigned.

Salary Range:   $ 80,300- $ 133,300

Qualifications

Doctor of Philosophy, D.V.M. or M.D. degree in a related field and six (6) years of related experience OR M.D. and Master's degree and four (4) years of related experience required. Work experience may NOT substitute for education requirement.

Preferences

  • Doctor of Philosophy (PhD) in biomedical informatics, computing, computer science, data science, artificial intelligence, or a closely related field. PhD completed within the last 10 years preferred.

  • AI/ML Expertise: Deep proficiency with modern machine learning, including deep learning, transformers, graph neural networks, generative models, and foundation models and their application across biomedical and chemical sciences. 

  • Molecular and Structural AI: Hands-on experience with novel AI approaches to molecular dynamics simulations, protein/antibody structure prediction and design, retrosynthesis, and multi-modal drug discovery. 

  • Programming and Engineering: Strong Python skills (PyTorch / JAX / TensorFlow); comfortable with HPC and GPU workflows, modern MLOps, and reproducible computational pipelines.

  • Agentic and Autonomous AI: Experience designing agentic AI workflows or autonomous research systems for science, including LLM tool-use, retrieval-augmented pipelines, and self-driving experimentation loops.   

  • Statistical and Causal Reasoning: Strong statistical foundations including hypothesis testing, Bayesian inference, uncertainty quantification, and causal modeling for biomedical data.  

  • Biomedical Data at Scale: Familiarity with large-scale biomedical, omics, imaging, clinical-trial, and chemical datasets, including data integration across modalities for virtual-cell and multi-modal drug-discovery applications.

Key Skills

  • Leadership: Ability to lead, guide, and mentor a team of researchers and students. 

  • Communication: Excellent verbal and written communication skills for publishing research, delivering presentations, and grant writing. 

  • Collaboration: Ability to work efficiently in a multidisciplinary environment, with the capability to integrate various scientific domains. 

  • Problem-Solving: Strong analytical thinking and the ability to approach complex scientific problems creatively. 

  • Time Management: Ability to manage multiple projects and deadlines effectively.


 

UAB is an Equal Employment/Equal Educational Opportunity Institution dedicated to providing equal opportunities and equal access to all individuals regardless of race, color, religion, ethnic or national origin, sex (including pregnancy), genetic information, age, disability, and veteran's status. As required by Title IX, UAB prohibits sex discrimination in any education program or activity that it operates. Individuals may report concerns or questions to UAB's Assistant Vice President and Senior Title IX Coordinator. The Title IX notice of nondiscrimination is located at uab.edu/titleix.


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