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Remote Computer Science Graduate Jobs in Dallas, TX

Dlapiper

Data Scientist

Dallas, TX · On-site +1

Bachelor's degree in computer science, data science, statistics, applied mathematics or related ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

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 ...

ADT Security Services

Data Scientist

Irving, TX · Remote

Bachelor's degree (or equivalent experience) in Analytics, Computer Science, Statistics ... Remote/Home office (Continually=67-100% of the workday) Travel: * Occasionally, less than 25%

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 · 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 ...

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All JobsComputer Science Graduate JobsRemote Computer Science Graduate JobsRemote Computer Science Graduate Jobs in Dallas, TX

Remote Computer Science Graduate information

What is a remote computer science graduate?

Remote computer science graduates are individuals who have completed a degree in computer science and work in jobs that allow them to perform their duties from locations outside of a traditional office, often from home. These graduates leverage their programming, problem-solving, and analytical skills to contribute to software development, data analysis, IT support, and other technical roles remotely. The demand for remote computer science professionals has grown due to advancements in technology and the increasing acceptance of remote work by employers. Remote roles can offer greater flexibility and access to global job opportunities.

What are the key skills and qualifications needed to thrive as a remote computer science graduate?

To thrive as a Remote Computer Science Graduate, a strong foundation in programming languages (such as Python, Java, or C++), algorithms, data structures, and a relevant computer science degree are essential. Familiarity with version control systems like Git, cloud platforms, and common development tools is typically required. Strong communication, time management, and self-motivation are crucial soft skills for collaborating effectively and staying productive in a remote environment. These skills and qualities enable graduates to successfully contribute to distributed teams, solve complex problems, and adapt to the dynamic demands of remote tech roles.

How do remote computer science graduates typically collaborate with team members and stay engaged while working from home?

Remote computer science graduates often use a range of digital tools like Slack, Zoom, and GitHub to stay connected with their teams, participate in code reviews, and attend virtual meetings. Regular check-ins and agile stand-ups help maintain communication and ensure everyone is aligned on project goals. Many companies also encourage open channels for questions and knowledge sharing, which helps new graduates feel supported and integrated. Staying proactive in communication and seeking mentorship opportunities can further enhance engagement and career growth when working remotely.

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

AspectRemote Computer Science GraduateRemote Software Developer
Required CredentialsBachelor's in Computer Science or related fieldProven coding skills, often with a degree or equivalent experience
Work EnvironmentEntry-level, project-based, often internships or apprenticeshipsFull-time, collaborative coding environment, often with team tools
Employer & Industry UsageTech companies, startups, research labsSoftware firms, tech companies, SaaS providers
Search & Comparison IntentEntry-level roles, internships, career startersDevelopment roles, coding projects, software engineering

The main difference is that a Remote Computer Science Graduate is typically an entry-level candidate with a degree seeking initial roles, while a Remote Software Developer is a more experienced professional actively coding and developing software. Both roles often overlap in skills and work environment, but the Software Developer role usually requires proven coding experience beyond the degree.

What are the most commonly searched types of Computer Science Graduate jobs in Dallas, TX?

The most popular types of Computer Science Graduate jobs in Dallas, TX are:

What are popular job titles related to Remote Computer Science Graduate jobs in Dallas, TX?

For Remote Computer Science Graduate jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Remote Computer Science Graduate jobs in Dallas, TX look for?

The top searched job categories for Remote Computer Science Graduate jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Remote Computer Science Graduate jobs?

Cities near Dallas, TX with the most Remote Computer Science Graduate job openings:

Remote Computer Science Graduate jobs near you
Infographic showing various Remote Computer Science Graduate job openings in Dallas, TX as of July 2026, with employment types broken down into 88% Full Time, 7% Part Time, 2% Temporary, and 3% Contract. Highlights an 100% Remote job distribution.

ML / Bioinformatics Data Scientist

Dallas, TX • Remote

IT America Inc
Software Development • 201 - 500 employees
Learn more about IT America Incexternal

Contractor

Re-posted 13 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.