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Junior Scientific Programmer Jobs in Florida (NOW HIRING)

Deloitte

Senior AI Engineer - SFL Scientific

Miami, FL · On-site

$99K - $137K/yr

... junior members on technical best practices and inspire professional development Qualifications : Required : • Bachelor's degree in a STEM field (Computer Science, Engineering, Physics, etc.) or ...

Socket.dev

Junior Software Developer

Panama City Beach, FL · On-site

$60 - $80/hr

Position: Junior Software Developer Clearance: Secret Location: Panama City Beach, FL Position ... Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related ...

New

Worky

Junior Developer

Sanford, FL · On-site

$60 - $80/hr

Associate or Bachelor's degree in Computer Science, Information Technology, or a related field, or ... The Junior Developer role provides exposure to multiple areas of information technology rather than ...

Tetra Tech

Civil-Structural Engineer, Junior

Tampa, FL · Hybrid

$70K - $110K/yr

Tetra Tech is adding a Junior Civil-Structural Engineer to our Power team based in Tampa, Florida ... Why Tetra Tech: At Tetra Tech, we are Leading with Science to solve the world's most complex ...

Softthink Solutions

Junior Database Developer

Mayport, FL · On-site

$80 - $100/hr

Junior Database Developer Location: Mayport, Florida Security Clearance: Active Secret Clearance ... Bachelor's degree in database development, computer science, information technology, or a related ...

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Junior Scientific Programmer information

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How much do junior scientific programmer jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for junior scientific programmer in Florida is $20.14, according to ZipRecruiter salary data. Most workers in this role earn between $12.21 and $24.81 per hour, depending on experience, location, and employer.

What is a junior scientific programmer?

Junior Scientific Programmers are early-career professionals who assist in developing and maintaining software used for scientific research and data analysis. They typically work under the guidance of senior programmers or scientists, helping to write code, process data, and troubleshoot computational problems. These programmers often work in academic, research, or laboratory settings and are expected to have a foundational knowledge of programming languages such as Python, R, or MATLAB. Their role is essential in supporting scientific projects by ensuring that computational tasks are performed efficiently and accurately.

What types of projects and technologies do junior scientific programmers typically work with, and how much collaboration is involved?

Junior Scientific Programmers often contribute to projects involving data analysis, scientific simulations, or the development of software tools for research teams. They typically work with programming languages such as Python, R, or MATLAB, and may also use version control systems like Git. Collaboration is a key aspect of the role, as Junior Scientific Programmers frequently partner with researchers, senior developers, and domain experts to understand project requirements and refine computational solutions. This team-oriented environment provides ample opportunities for learning and professional growth, especially through code reviews and interdisciplinary discussions.

What are the key skills and qualifications needed to thrive as a junior scientific programmer, and why are they important?

To thrive as a Junior Scientific Programmer, you need a solid background in programming (such as Python, R, or MATLAB), data analysis, and a relevant science or math degree. Familiarity with version control systems (e.g., Git), scientific libraries, and sometimes high-performance computing tools is typically expected. Strong problem-solving, attention to detail, and effective teamwork skills set candidates apart in collaborative research environments. These competencies are crucial for developing reliable scientific software and contributing effectively to research projects.

What is the difference between Junior Scientific Programmer vs Data Analyst?

AspectJunior Scientific ProgrammerData Analyst
Required CredentialsBachelor's in Computer Science, Data Science, or related field; programming skills in Python, R, or MATLABBachelor's in Statistics, Mathematics, or related field; proficiency in data visualization and analysis tools
Work EnvironmentResearch labs, scientific institutions, tech companiesBusiness, finance, healthcare, or marketing sectors
Employer & Industry UsageResearch projects, scientific computing, simulation tasksData-driven decision making, reporting, and insights generation

While both roles involve working with data and programming, Junior Scientific Programmers focus on scientific computing and research-specific tasks, whereas Data Analysts primarily analyze business data to inform decisions. The roles often overlap in skills but differ in application and industry focus.

What are popular job titles related to Junior Scientific Programmer jobs in Florida?

For Junior Scientific Programmer jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Junior Scientific Programmer jobs in Florida look for?

The top searched job categories for Junior Scientific Programmer jobs in Florida are:

What cities in Florida are hiring for Junior Scientific Programmer jobs?

Cities in Florida with the most Junior Scientific Programmer job openings:

Junior Scientific Programmer jobs near you

Junior/Middle Computer Vision Engineer ID72410

AgileEngine

Tampa, FL • On-site

Full-time

Posted 19 days ago

Job description


AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLE
We are looking for a Junior/Middle Computer Vision Engineer to support high-volume execution across data preparation, model training, and evaluation for an AI team working with large-scale image and video datasets. You will curate and manage annotation workflows, run model training and evaluation jobs, maintain benchmarks, and collaborate with senior engineers on failure-case analysis. The role offers a a clear growth path into applied modeling or MLOps for an early-career engineer eager to build hands-on AI experience.
WHAT YOU WILL DO
- Curate large-scale image and video datasets, manage labeling processes and workflows, and ensure the highest standards for dataset quality;
- Run model training and evaluation jobs, ensuring experiments are executed smoothly and efficiently;
- Document training results, maintain ongoing evaluation benchmarks, and track model performance over time;
- Collaborate with senior engineers to analyze model failure cases and identify areas for data or algorithmic improvement;
- Take ownership of foundational tasks that support the broader team's AI/ML lifecycle, directly contributing to the speed and success of production deployments.
MUST HAVES
- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
- 1 to 3 years of experience in software engineering, data science, machine learning, or a related field;
- Degree in Computer Science, Data Science, Engineering, Mathematics, or a related discipline (or equivalent practical experience);
- Engineers located in the US must reside in Dallas, TX, and be open to working from the office (onsite);
- Foundational coding skills in Python;
- Foundational understanding of machine learning concepts and workflows;
- Basic knowledge of computer vision principles (e.g., image processing, object detection basics);
- Basic familiarity with cloud environments and compute resources;
- A strong, demonstrable willingness to learn and adapt in a fast-paced, mentorship-driven environment;
- Excellent attention to detail, specifically regarding data quality and documentation;
- Upper-intermediate English level.
PERKS AND BENEFITS
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Flexible schedule with remote and office options.

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