ZipRecruiter

Log In

1

Computer Science Internship Jobs in Hoover, AL (NOW HIRING)

UAB NOVA RENT

SCIENTIST III

Birmingham, AL · On-site

... interns toward achieving lab and project goals. * Funding Opportunities: Identifying and ... Doctor of Philosophy (PhD) in biomedical informatics, computing, computer science, data science ...

GVW Group, LLC

AI Innovation Associate

Birmingham, AL · On-site

This is not a traditional internship. It is a program that gives you hands-on experience designing ... Science, Computer Science, Software Engineering, Computer Engineering, Information Systems ...

PNC Bank

Technology Undergraduate Intern

Birmingham, AL · On-site

$18 - $35/hr

During the Technology Internship you will enhance your understanding of emerging technologies ... Computer Science, Computer Engineering, Electrical Engineering, General Engineering, Software ...

Genuine Parts Company

Cloud SRE Intern

Birmingham, AL · On-site

$53.50 - $71/hr

Interns will be onsite at the Birmingham headquarters. Responsibilities * Support the team to ... Working on a BS degree in a computer related field (e.g. Computer Science, Engineering)

previous pagenext page

Showing results 21-40

All JobsComputer Science JobsComputer Science Internship JobsComputer Science Internship Jobs in Hoover, AL

Computer Science Internship information

See Hoover, AL salary details

$8

$19

$43

How much do computer science internship jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for computer science internship in Hoover, AL is $19.74, according to ZipRecruiter salary data. Most workers in this role earn between $10.73 and $22.75 per hour, depending on experience, location, and employer.

What are internship opportunities in computer science?

An internship in computer science provides on-the-job training for students who study computer science. Your duties in this program depend on the focus on the internship. Some interns get experiencing coding and developing software, applications, or website user interfaces. As an intern, you work under the direction of programming and development professionals. Your responsibilities include writing lines of code, testing and debugging software, learning computer languages in a realistic setting, and functioning as part of a team. Other computer science internships focus on providing technical support, cybersecurity services, or administration services as part of an IT team.

What is a computer science internship?

A computer science internship is a temporary position that allows students or recent graduates to gain practical experience in the field of computer science. Interns typically work on real-world projects, assisting with programming, software development, data analysis, or IT support under the supervision of experienced professionals. These internships provide valuable hands-on skills, networking opportunities, and insight into potential career paths within technology industries.

What types of projects does a computer science intern typically work on, and how much autonomy can I expect?

Computer Science interns often contribute to real-world projects such as developing new software features, debugging code, automating processes, or supporting infrastructure. While the level of autonomy varies by company, interns are generally given meaningful tasks and encouraged to collaborate with senior engineers and cross-functional teams. You'll likely participate in code reviews, agile sprints, and team meetings, gaining hands-on experience and feedback. Many organizations assign mentors to guide interns, helping them balance independence with structured learning and support.

What are the key skills and qualifications needed to thrive as a computer science intern, and why are they important?

To thrive as a Computer Science Intern, you generally need foundational knowledge in programming, algorithms, and data structures, often supported by progress toward a computer science degree. Familiarity with coding languages such as Python, Java, or C++, as well as experience using version control systems like Git, is typically expected. Strong problem-solving abilities, eagerness to learn, and effective communication skills help interns stand out in collaborative environments. These skills and qualities are essential because they enable interns to contribute meaningfully to projects, adapt to new technologies, and work efficiently within a development team.

What is the difference between Computer Science Internship vs Software Developer Intern?

AspectComputer Science InternshipSoftware Developer Intern
Required CredentialsTypically pursuing or recent graduate in CS or related fieldSame as CS internship, often students or recent grads
Work EnvironmentVaries across tech companies, research labs, startupsPrimarily software development teams in tech firms
Employer & Industry UsageUsed across academia, industry, research projectsPrimarily in software development companies and tech industry
Common Search & Comparison IntentUnderstanding internship opportunities in CSComparing software development internship roles

Both Computer Science Internships and Software Developer Internships target students or recent graduates interested in tech. While CS internships may include research, data analysis, or broader technical roles, Software Developer Internships focus specifically on coding and software creation. The choice depends on your career goals and the specific skills you want to develop.

What do you do as a computer science intern?

A computer science intern typically assists with software development, coding, testing, and debugging projects. They may work with programming languages like Python, Java, or C++, and often collaborate with teams to gain practical experience in software engineering and problem-solving. Internships usually involve learning industry tools and following project deadlines under supervision.

What internships should I apply for in computer science?

Computer science internships are available in tech companies, startups, and research labs, often focusing on software development, data analysis, or cybersecurity. Applicants should have programming skills in languages like Python, Java, or C++, and may need to demonstrate problem-solving abilities or relevant coursework. Internships can be paid or unpaid and typically require a resume and sometimes a cover letter or technical assessment.
More about Computer Science Internship jobs

What are the most commonly searched types of Computer Science jobs in Hoover, AL?

The most popular types of Computer Science jobs in Hoover, AL are:

What job categories do people searching Computer Science Internship jobs in Hoover, AL look for?

The top searched job categories for Computer Science Internship jobs in Hoover, AL are:

What cities near Hoover, AL are hiring for Computer Science Internship jobs?

Cities near Hoover, AL with the most Computer Science Internship job openings:

Computer Science Internship jobs near you
Infographic showing various Computer Science Internship job openings in Hoover, AL as of September 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution, with an average salary of $41,052 per year, or $19.7 per hour.

SCIENTIST III

Birmingham, AL • On-site

UAB NOVA RENT
See more jobs at UAB NOVA RENTexternal

Full-time

Re-posted 28 days ago

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
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.

Apply