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Computer Science Internship Jobs in Bel Air, MD (NOW HIRING)

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Computer Science Internship information

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.
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Infographic showing various Computer Science Internship job openings in Bel Air, MD as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, 2% Contract, and 1% Nights. Highlights an 74% Physical, 2% Hybrid, and 24% Remote job distribution.

Post Doctoral Fellow - Biostatistics and Data Science

The Chronicle Of Higher Education, Inc.

Baltimore, MD • On-site

$60 - $80/hr

Other

PTO

Posted 5 days ago

Key responsibilities

  • Develop new statistical methods to model multimodal neuroimaging, multi-omics, EHR, and genetics data measured longitudinally and cross-sectionally.

  • Apply machine learning and AI approaches to identify relationships between various imaging modalities and multi-omics during aging and development.

  • Implement computationally intensive algorithms on high-performance computational clusters.

Job description

Job Description

POST The Maryland Psychiatric Research Center (MPRC) at the University of Maryland School of Medicine is recruiting a Postdoctoral Fellow for the Biostatistics and Data Science Laboratory led by Dr. Shuo Chen.

The Maryland Psychiatric Research Center (MPRC) is an internationally renowned research center, which is dedicated to providing treatment to patients with schizophrenia and related disorders, educating professionals and consumers about schizophrenia, and conducting basic and translational research into the manifestations, causes, and treatment of schizophrenia.

Essential Functions
  • Developing new statistical methods to model multimodal neuroimaging data, multi-omics data, electronic health record (EHR) and genetics data which are measured by longitudinally and cross-sectionally.
  • Developing and applying machine learning and AI approaches to identify interactive topological relationships between various imaging modalities and multi-omics during aging and development.
  • Implementing computationally intensive algorithms on high-performance computational clusters.
  • Developing AI/ML-based causal inference models for real‑world evidence applications (e.g., target trial emulations- TTE).
  • Developing data integration methods to combine multiple massive datasets (UKBB, HCP, ENIGMA, and etc) and local trials and observational studies (e.g., UMMS EHR).
  • Manuscript drafting and preparation.
  • Performing other duties as assigned.
Qualifications
  • Education: A Ph.D. degree in a quantitative field such as statistics, biostatistics, bioinformatics, computational biology, human genetics, computer science, or a closely.
  • Experience: Demonstrated experience in strong optimization computational skills, proficiency in one of the programming languages R, Matlab, and Python, and expertise in high-performance clusters are required.
  • Knowledge, Skills, and Abilities: Knowledge in advanced statistical theory and methods.
  • Strong optimization and computational skills to process large-scale medical images and analyze multi-modal data effectively.
  • Excellent interpersonal skills, including a positive and professional orientation towards faculty, staff, university officials, partner organizations, and other stakeholders.

The stipend for Postdoctoral Fellows is competitive and aligned with the number of full years of relevant postdoctoral experience. Relevant experience may include research, teaching, clinical duties, internships, or other work in a health-related field beyond the qualifying doctoral degree. Stipend levels are determined to meet or exceed the current NIH Stipend Levels listed on the website. Postdoctoral Fellows at the University of Maryland also receive a comprehensive benefits package that includes 10 days of annual leave, 15 days of sick leave, 3 personal days, all university-recognized holidays, and may also qualify for additional leave options.

For immediate consideration, please send a cover letter and a recent CV, including names and contact information of three references, to https://umb.taleo.net/careersection/jobdetail.ftl?job=2500018O&lang=en

To apply for this position or to seek additional information, please contact Dr. Chen at ShuoChen@som.umaryland.edu

For additional questions after application, please email at AAmante@som.umaryland.edu

UMB is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law or policy.

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