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Remote Computer Science Internship Jobs in Flower Mound, TX

Prescient Security

Auditor, SOC2

Dallas, TX · 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 · 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 · 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 · 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 · 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 · 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 · 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 · 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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Remote Computer Science Internship information

What is a remote computer science internship?

A Remote Computer Science Internship is a temporary, virtual position where students or aspiring professionals gain hands-on experience in computer science fields such as software development, data analysis, cybersecurity, or AI. Interns work on real-world projects, collaborate with teams, and develop technical and problem-solving skills—all from a remote location. These internships provide valuable exposure to industry tools, programming languages, and professional workflows, enhancing career prospects.

What kind of support and mentorship can I expect during a remote computer science internship?

Remote Computer Science Interns typically receive regular guidance from designated mentors or team leads through scheduled video calls, chat channels, and collaborative online tools. You'll have access to code reviews, feedback sessions, and opportunities to participate in virtual team meetings, allowing you to learn from experienced professionals and ask questions in real-time. Many organizations also provide onboarding resources, documentation, and community forums to help new interns integrate smoothly. This supportive environment ensures you can develop your skills, overcome remote work challenges, and make meaningful contributions during your internship.

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

To thrive as a Remote Computer Science Intern, you should possess a solid understanding of programming languages such as Python, Java, or C++, strong problem-solving abilities, and be actively pursuing or holding a degree in computer science or a related field. Familiarity with version control systems like Git, basic knowledge of software development tools, and exposure to collaborative platforms such as GitHub or Jira are highly valued. Excellent communication, self-motivation, and time management skills enable you to work effectively in a remote environment and stay connected with your team. These competencies are essential for successfully contributing to real-world projects, adapting to remote workflows, and developing professionally during the internship.

What are popular job titles related to Remote Computer Science Internship jobs in Flower Mound, TX? For Remote Computer Science Internship jobs in Flower Mound, TX, the most frequently searched job titles are:
What job categories do people searching Remote Computer Science Internship jobs in Flower Mound, TX look for? The top searched job categories for Remote Computer Science Internship jobs in Flower Mound, TX are:
What cities near Flower Mound, TX are hiring for Remote Computer Science Internship jobs? Cities near Flower Mound, TX with the most Remote Computer Science Internship job openings:
Remote Computer Science Internship jobs near you
Infographic showing various Remote Computer Science Internship job openings in Flower Mound, TX as of August 2026, with employment types broken down into 16% Internship, 65% Full Time, and 19% Part Time. Highlights an 100% Remote job distribution.

ML / Bioinformatics Data Scientist

IT America Inc

Dallas, TX • 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.