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Applied Computing information

See Tennessee salary details

$19.1K

$98.7K

$164.3K

How much do applied computing jobs pay per year?

As of Jul 23, 2026, the average yearly pay for applied computing in Tennessee is $98,726.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,600.00 and $127,100.00 per year, depending on experience, location, and employer.

What can you do with an applied computing degree?

An applied computing degree prepares individuals for roles such as software developer, systems analyst, data analyst, or IT specialist. Graduates can work in software development, network administration, cybersecurity, or data management, often using programming languages, databases, and technical tools. The degree provides practical skills for technology-focused careers in various industries.

Which 3 jobs will survive AI?

Applied Computing professionals such as software developers, cybersecurity analysts, and data scientists are likely to continue thriving as AI automates routine tasks. These roles require complex problem-solving, creativity, and specialized technical skills that are less easily replaced by AI. Continuous learning and adapting to new tools like machine learning frameworks are essential for long-term job security.

What are the key skills and qualifications needed to thrive in the Applied Computing position, and why are they important?

To thrive in Applied Computing, you need strong analytical abilities, problem-solving skills, and a solid background in computer science or related disciplines, often supported by a relevant bachelor's or master's degree. Familiarity with programming languages, databases, cloud platforms, and certifications like CompTIA, AWS, or Microsoft Azure is highly beneficial. Strong teamwork, effective communication, and project management skills help you excel in multi-disciplinary settings. These qualities enable professionals to design and implement effective technical solutions to complex, real-world problems across industries.

What jobs can I get with applied science?

Applied science graduates can pursue careers such as research scientist, data analyst, systems analyst, software developer, or quality assurance specialist. These roles often require strong problem-solving skills, technical knowledge, and proficiency with tools like programming languages or laboratory equipment.

What types of projects or challenges might I encounter in an Applied Computing role?

In an Applied Computing position, you may work on diverse projects such as developing custom software applications, optimizing business processes with automation, analyzing data for actionable insights, or integrating new technology solutions within existing systems. Challenges often include translating organizational needs into technical requirements, staying current with rapidly evolving technologies, and collaborating closely with stakeholders across departments. You’ll typically collaborate with IT teams, subject matter experts, and sometimes clients to ensure solutions are practical and user-centered. These varied responsibilities keep the role dynamic and provide continual opportunities to expand your technical and professional expertise.

What is an Applied Computing job?

An Applied Computing job involves using computing principles and technologies to solve real-world problems in various industries. Professionals in this field apply software development, data analysis, cybersecurity, and IT management skills to improve business operations and decision-making. These roles can be found in sectors like healthcare, finance, manufacturing, and government, where technology is integrated to optimize processes and drive innovation.

What is the highest paying computing job?

In applied computing, senior roles such as Chief Technology Officer (CTO), solutions architect, and data science director tend to have the highest salaries, often exceeding six figures. These positions typically require advanced skills, extensive experience, and leadership responsibilities in technology development and strategy.
What are popular job titles related to Applied Computing jobs in Tennessee? For Applied Computing jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Applied Computing jobs in Tennessee look for? The top searched job categories for Applied Computing jobs in Tennessee are:
Applied Computing jobs near you
Infographic showing various Applied Computing job openings in Tennessee as of July 2026, with employment types broken down into 75% Full Time, 23% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $98,726 per year, or $47.5 per hour.
Senior Image Data Scientist-Center for Bioimage Informatics

Senior Image Data Scientist-Center for Bioimage Informatics

St. Jude Children's Research Hospital

Memphis, TN • On-site

Full-time

Posted 10 days ago

St. Jude Children's Research Hospital rating

8.6

Company rating: 8.6 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

37th of 1,023 rated hospitals

Job description

Job Summary:
St. Jude Children's Research Hospital is seeking a Senior Image Data Scientist for their Center for Bioimage Informatics to design and operate image-analysis pipelines for biomedical research. The role involves collaborating with various scientific teams to develop scalable analysis workflows and manage image data effectively.
Responsibilities:
• Design, develop, validate, document, and operate image-analysis pipelines and visualization solutions for biomedical imaging research.
• Support image data management, maintain analysis software and repositories, evaluate new methods and tools, and provide technical consultation and training to research teams.
• Serve as a project lead to coordinate image-analysis efforts, align related projects, and contribute to shared CBI infrastructure that supports routine and advanced bioimage analysis.
Qualifications:
Required:
• Bachelor's degree in applied mathematics, physics, chemistry, bioinformatics, computer science, data science, computer engineering or related field required.
• Minimum Requirement: Bachelor's degree with 3+ years of work experience in relevant area (e.g., applied mathematics, physics, chemistry, bioinformatics, computer science, data science, computer engineering) required.
• Experience in image analyses, image data management, and programming (e.g., Python, R, Matlab, Java, C/C++).
• Experience in image analysis platforms (e.g., ImageJ/Fiji, CellProfiler), scientific computing, scientific data visualization, scientific computer code optimization and evaluation in an HPC environment, development of algorithms, statistical methods or scientific software, working with large image data volumes, biological/medical imaging preferred.
• Proven performance in earlier role/comparable role.
Preferred:
• PhD in a relevant quantitative, computational, biomedical, or scientific field.
• Experience developing, validating, and maintaining image-analysis pipelines for biological or medical imaging data.
• Strong programming skills in Python and experience with modern computer vision, machine learning, deep learning, or statistical image-analysis methods.
• Experience with emerging AI methods relevant to bioimage analysis, including vision transformers, foundation models, generative AI, large language models (LLMs), or agentic AI tools.
• Experience with scalable and reproducible scientific workflows (e.g., Snakemake, Nextflow), containers, version control, and HPC or cloud environments.
• Demonstrated experience using modern bioimaging tools, data standards, and open-source ecosystems such as napari, ImageJ/Fiji, Cellpose, SAM-family and related foundation segmentation models, QuPath, BioFormats, OME-Zarr/NGFF, or similar platforms.
• Experience with large image data volumes, image data management, quality control, benchmarking, annotation strategies, and method evaluation.
• Demonstrated ability to collaborate with research teams, communicate technical results clearly, write user-facing documentation, and provide training through courses, workshops, seminars, or similar formats.
• Evidence of technical leadership, such as leading multi-lab projects, contributing to shared infrastructure, publishing methods, or contributing to open-source scientific software.
Company:
St. Founded in 1962, the company is headquartered in Memphis, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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