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Computer Science Remote Internships Jobs in Dallas, TX

Prescient Security

Auditor, SOC2

Dallas, TX ยท Remote

$80K - $85K/yr

Auditor, SOC2, US, Remote At Prescient Security, we are on a mission to simplify security and ... Bachelor's degree in information security, Computer Science, Accounting, or a related field The ...

Prescient Security

Auditor, SOC2

Dallas, TX ยท Remote

$80K - $85K/yr

Auditor, SOC2, US, Remote At Prescient Security, we are on a mission to simplify security and ... Bachelor's degree in information security, Computer Science, Accounting, or a related field The ...

Prescient Security

Auditor, SOC2

Dallas, TX ยท Remote

Auditor, SOC2, US, Remote At Prescient Security, we are on a mission to simplify security and ... Bachelors degree in information security, Computer Science, Accounting, or a related field The base ...

Stryker

Senior Lead Data Engineer (Remote)

Dallas, TX ยท On-site +1

Remote As a Senior Lead, Data Engineering, you will serve as a technical leader who helps shape the ... Bachelor's degree in Computer Science, Data Engineering, Data Science, Information Systems ...

MNF Global

Remote Patent Attorney or Patent Agent

Dallas, TX ยท On-site +1

$170K - $300K/yr

... Remote Are you a passionate and skilled Patent Professional looking to elevate your career? We are ... A degree in Computer Science, Computer Engineering, Electrical Engineering, Physics, or a related ...

NTT DATA Services

Ontology Expert - Remote

Dallas, TX ยท On-site +1

... Computer Science, Biomedical Informatics, or related fields. Soft Skills - Strong analytical and conceptual thinking abilities. - Excellent communication skills to work with clinical and technical ...

NTT DATA Services

Ontology Expert - Remote

Dallas, TX ยท Remote

... Computer Science, Biomedical Informatics, or related fields. Soft Skills - Strong analytical and conceptual thinking abilities. - Excellent communication skills to work with clinical and technical ...

NTT DATA Services

Ontology Expert - Remote

Dallas, TX ยท Remote

... Computer Science, Biomedical Informatics, or related fields. Soft Skills - Strong analytical and conceptual thinking abilities. - Excellent communication skills to work with clinical and technical ...

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Computer Science Remote Internships information

Which internship is best for a computer science student?

The best internship for a computer science student depends on their interests and career goals, but generally, internships that offer hands-on experience in software development, data structures, algorithms, or machine learning are highly valuable. Look for opportunities that provide mentorship, real-world projects, and exposure to tools like Git, Python, or Java, often with flexible remote options. Selecting an internship aligned with your desired specialization can enhance skills and improve job prospects after graduation.

What types of projects can I expect to work on during a remote computer science internship, and how will I collaborate with my team?

As a remote computer science intern, you'll typically work on real-world software development projects such as coding new application features, debugging existing code, or contributing to open-source initiatives. Communication and collaboration usually take place through tools like Slack, GitHub, and video conferencing platforms, allowing you to participate in daily stand-ups, code reviews, and team meetings. You may be paired with a mentor or work within a small agile team, gaining exposure to industry-standard development practices and collaborative workflows. While managing your own tasks independently is important, you'll also have regular check-ins and opportunities to ask questions, ensuring you remain connected and supported throughout the internship.

What is the difference between Computer Science Remote Internships vs Software Developer Internships?

AspectComputer Science Remote InternshipsSoftware Developer Internships
Required CredentialsTypically a computer science student or related field, some coding knowledgeSimilar, often requiring programming skills and coursework in software development
Work EnvironmentRemote, flexible, project-basedRemote or hybrid, focused on coding and software projects
Employer & Industry UsageTech companies, startups, research institutionsTech firms, software companies, startups
Search & Comparison IntentLooking for general computer science internship opportunitiesSeeking specific software development internship roles

Computer Science Remote Internships and Software Developer Internships share similar credentials and work environments, often targeting tech companies and startups. However, CS internships tend to be broader, encompassing various computer science topics, while Software Developer Internships focus specifically on coding and software creation. Both are valuable for gaining industry experience remotely.

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

To thrive as a Computer Science Remote Intern, you typically need a solid understanding of programming fundamentals, algorithms, and data structures, often supported by ongoing or completed coursework in computer science or related fields. Familiarity with version control systems like Git, collaboration tools such as Slack or Zoom, and exposure to languages like Python, Java, or JavaScript are highly valuable. Strong self-motivation, time management, and effective written communication skills help interns excel in remote environments. These abilities enable interns to contribute effectively to distributed teams, manage projects independently, and adapt to rapidly changing technical tasks.

What are computer science remote internships?

Computer science remote internships are work opportunities for students or recent graduates to gain practical experience in computer science while working from a location outside of a traditional office, typically from home. Interns collaborate with teams online, using digital tools to complete tasks such as coding, software development, data analysis, or technical support. These internships provide valuable exposure to real-world projects, industry practices, and professional networking, all without the need to relocate. Remote internships are especially popular in tech fields where much of the work can be done online. They often offer flexibility in schedules and are available with companies around the world.
What are popular job titles related to Computer Science Remote Internships jobs in Dallas, TX? For Computer Science Remote Internships jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Computer Science Remote Internships jobs in Dallas, TX look for? The top searched job categories for Computer Science Remote Internships jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Computer Science Remote Internships jobs? Cities near Dallas, TX with the most Computer Science Remote Internships job openings:
Computer Science Remote Internships jobs near you
Infographic showing various Computer Science Remote Internships job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution.

ML / Bioinformatics Data Scientist

IT America Inc

Dallas, TX โ€ข Remote

Contractor

Re-posted 7 days ago

Job description

Position: ML / Bioinformatics Data Scientist

Location: Remote (PST work hours)

Duration: Long term contract

About the Role:

We are seeking a highly motivated and collaborative Bioinformatics/ML scientist to join the Computational biology & Medicine department in Computational Sciences COE (Center of Excellence) within Genentech’s Research and Early Development (gRED). The successful candidate will contribute to a cross-functional project that will apply Machine Learning (ML) models to multi-modal datasets collected from clinical trials. This role requires a deep understanding of application of Machine Learning models, a background in biology, a passion for innovation, and a commitment to improving healthcare outcomes through cutting-edge technology.

We are looking for exceptional researchers with a passion for interdisciplinary research and technical problem-solving, and a proven ability to develop and implement research ideas. The candidate is expected to have worked on previous ML modeling projects and applying them to multi-modal datasets to be considered.

About the Project:

The goal of this project is to develop a machine learning model to predict a patient's risk for drug-induced liver toxicity based on a wide variety of patient characteristics including clinical, genetics, omics and safety labs. The focus will be harmonizing these diverse data sources, deriving new features, and  building machine learning models designed to identify a predictive signature that can distinguish between at-risk and not-at-risk patient populations.

Key Responsibilities:

  • Data centralization and harmonization
  • Applying ML methods on assembled dataset to identify patients’ risk for drug-induced liver toxicity.
  • Collaborate with interdisciplinary and cross-functional teams including biologists, chemists, data scientists, and other stakeholders.

Educational Background:

  • PhD degree in quantitative field ( e.g., Computer Science, Computational Biology, Bioinformatics, Statistics, Mathematics) 

Experience:

  • Proven track record of working with statistical modeling techniques, including ML methods, is required
  • Demonstrated interest in problems across biology as applied to the discovery and development of treatments for disease is preferred

Technical Skills:

  • Data Science & Programming: Expertise in Python/R for data manipulation, statistical analysis, and ML model building (required)
  • Multimodal Data & Modeling: Proven ability to work with diverse data types (omics, clinical, imaging) (required).
  • Knowledge of statistics and experience with survival analysis (required)
  • Domain & AI-specific Skills: Experience with NLP/LLMs for feature extraction from unstructured text, and a strong background in a neuroscience (preferred)

Soft Skills:

  • Excellent communication, collaboration, and problem-solving skills (required).

Publications:

  • Strong publication record and experience contributing to research communities.