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Part Time Computer Science Jobs in Alpharetta, GA

Intertek

Part-time Building Products Inspector

Atlanta, GA · On-site

$30 - $40/hr

Must have strong computer skills PHYSICAL REQUIREMENTS * Ability to lift up to 40 pounds * Ability ... science solutions to deliver Total Quality Assurance to the built environment. The team offers the ...

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All JobsComputer Science JobsPart Time Computer Science JobsPart Time Computer Science Jobs in Alpharetta, GA

Part Time Computer Science information

See Alpharetta, GA salary details

$55.2K

$81.1K

$95.7K

How much do part time computer science jobs pay per year?

As of Aug 15, 2026, the average yearly pay for part time computer science in Alpharetta, GA is $81,139.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,700.00 and $91,300.00 per year, depending on experience, location, and employer.

What are part-time jobs in computer science?

Part-time computer science jobs focus on developing programs, engineering computer infrastructure, providing support for computer systems, and teaching computer-related subjects. As a part-time computer science professional, you perform your duties for less than 40 hours per week. As a computer science instructor, you teach coding and related skills to help students learn to develop or build programs, platforms, and networks. Your responsibilities as a computer scientist include installing, repairing, or customizing software or systems. You can also work in a job where you provide technical support for computer users. Some part-time professionals freelance or work on weekends and evenings.

What is the easiest part time computer science job to get?

Part-time roles such as data entry, technical support, or basic web development are generally easier to obtain in computer science, especially for those with foundational skills in programming, troubleshooting, or using common tools like HTML or Excel. These positions often require minimal experience and can be suitable for students or those new to the field.

What is the difference between Part Time Computer Science vs Part Time Software Developer?

AspectPart Time Computer SciencePart Time Software Developer
Required CredentialsTypically a degree or coursework in computer scienceOften a degree in computer science or related field, sometimes self-taught
Work EnvironmentAcademic settings, research labs, or online learning platformsTech companies, startups, freelance projects, or remote work
Employer & Industry UsageEducational institutions, research organizations, online education providersSoftware firms, IT departments, freelance clients
Common Search & Comparison IntentUnderstanding academic or foundational roles in computer scienceSeeking practical software development opportunities in part-time roles

Part Time Computer Science generally focuses on foundational knowledge, research, and academic coursework, while Part Time Software Developer emphasizes practical coding, application development, and project work. Both roles often require similar educational backgrounds but differ in work environment and industry application.

What jobs can you get with a part time computer science degree?

A part-time computer science degree can qualify you for roles such as software developer, web developer, technical support specialist, or data analyst. These positions often require knowledge of programming languages, problem-solving skills, and familiarity with tools like databases or coding environments, and may be suitable for flexible or entry-level schedules.

What are the key skills and qualifications needed to thrive as a part-time computer science instructor, and why are they important?

To thrive as a Part-Time Computer Science Instructor, you should have a solid background in programming languages, algorithms, and computer science fundamentals, typically supported by a relevant degree or professional experience. Familiarity with learning management systems (LMS), coding platforms, and common programming tools is important for effective instruction and student engagement. Strong communication, adaptability, and patience help instructors explain complex concepts clearly and support diverse learners. These skills ensure that students receive quality education and are well-prepared for careers in technology.

What are some common challenges faced by part-time computer science professionals, and how can they be addressed?

Part-time Computer Science professionals often face challenges such as managing workload across limited hours, staying updated with rapidly evolving technologies, and integrating effectively with full-time team members. To address these, clear communication with supervisors about workload expectations is essential, as is setting aside dedicated time for skill development. Additionally, participating in regular team meetings and utilizing collaboration tools can help maintain strong connections with colleagues and ensure project alignment despite reduced hours.
More about Part Time Computer Science jobs

What are the most commonly searched types of Computer Science jobs in Alpharetta, GA?

The most popular types of Computer Science jobs in Alpharetta, GA are:

What are popular job titles related to Part Time Computer Science jobs in Alpharetta, GA?

For Part Time Computer Science jobs in Alpharetta, GA, the most frequently searched job titles are:

What job categories do people searching Part Time Computer Science jobs in Alpharetta, GA look for?

The top searched job categories for Part Time Computer Science jobs in Alpharetta, GA are:

What cities near Alpharetta, GA are hiring for Part Time Computer Science jobs?

Cities near Alpharetta, GA with the most Part Time Computer Science job openings:

Part Time Computer Science jobs near you
Infographic showing various Part Time Computer Science job openings in Alpharetta, GA as of August 2026, with employment types broken down into 23% Full Time, and 77% Part Time. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $81,139 per year, or $39 per hour.

Senior Fellow - Scientific AI (Physician)

McKinsey & Company

Atlanta, GA • On-site

Full-time, Part-time

Posted 8 days ago

McKinsey & Company rating

8.5

Company rating: 8.5 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

20th of 72 rated business consultants

Job description

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You've come to the right place.
YOUR IMPACT
You will work as a member of McKinsey's global scientific AI team to transform the way our clients do research and development in industries where scientific innovation is core to value creation.
You will help build and lead McKinsey's forward-looking capabilities to transform clients' innovation engines.
With your specific expertise at the intersection of oncology and artificial intelligence / machine learning (i.e., deep learning, causal inference, Bayesian modelling, and foundation models), you will bring distinctive medical knowledge to complex client Life Sciences R&D challenges through part-time staffing on client studies with a multi-disciplinary team.
You will drive proposal processes and participate in client negotiations by identifying end-to-end opportunities to transform Life Sciences R&D and architecting solutions that address specific client needs. You will advance the latest thinking in scientific AI and generate a steady stream of whitepapers, scientific publications and keynote speeches in top scientific and AI conferences and journals.
You will also establish an external network, play a lead role in external reputation building, and attract and retain junior colleagues by mentoring them to expand their scientific AI knowledge and impact.
YOUR GROWTH
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues-at all levels-will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won't find anywhere else.
When you join us, you will have:
  • Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
  • A voice that matters: From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
  • Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
  • World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

YOUR QUALIFICATIONS AND SKILLS
  • Must possess a medical degree (MD), licensed to practice in the United States, and have successfully completed a residency program
  • Proven mastery of fundamental concepts in oncology, as well as being up-to-date on latest ideas and publications, including: Biomarker-led oncology trials; Immuno-oncology; Mechanistic models of oncology; Understanding of the latest developments in oncology; A strong clinical academic network; Deep understanding of clinical endpoints used in clinical trials
  • Deep understanding of the data sources, AI methods and related analytical technologies, e.g., AI principles, deep learning, machine learning (supervised or unsupervised), causal inference, large language models, foundation models, computer vision, diffusion models, reinforcement learning, and knowledge graphs
  • Ability to develop new-to-world solution architecture blueprints, and decompose the end-state solution into incremental releases to prove feasibility and deliver value
  • Track record of innovation at the intersection of AI and oncology
  • Track record of recent leadership and engagement in the external ecosystem via publications, conference participation, keynote speeches, and connectedness with academia and/or industry
  • Experience managing direct reports, or a complex network of internal & external stakeholders
  • Compelling communicator with track record of translating technical methods to non-technical executive stakeholders

Please review the additional requirements regarding essential job functions of McKinsey colleagues.
Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.

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