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Remote Co Op Computer Science Jobs in Dallas, TX

TEEMA

Be Seen First

Senior Salesforce Health Cloud Data Engineer - Remote in US

Dallas, TX · Remote

$60 - $69/hr

Bachelor's degree in Computer Science, Engineering, Mathematics, Business, or a related field (or ... AK, AR, AZ, CO, DC, FL, HI, IA, ID, IL, KS, LA, MD, MN, MO, MT, NC, ND, NE, NM, NV, OK, OR, SC, SD ...

TEEMA

Be Seen First

Senior Salesforce Health Cloud Data Engineer - Remote in US

Dallas, TX · Remote

$60 - $69/hr

Bachelor's degree in Computer Science, Engineering, Mathematics, Business, or a related field (or ... AK, AR, AZ, CO, DC, FL, HI, IA, ID, IL, KS, LA, MD, MN, MO, MT, NC, ND, NE, NM, NV, OK, OR, SC, SD ...

TEEMA

Be Seen First

Senior Salesforce Health Cloud Data Engineer - Remote in US

Dallas, TX · Remote

$60 - $69/hr

Bachelor's degree in Computer Science, Engineering, Mathematics, Business, or a related field (or ... AK, AR, AZ, CO, DC, FL, HI, IA, ID, IL, KS, LA, MD, MN, MO, MT, NC, ND, NE, NM, NV, OK, OR, SC, SD ...

Humana

Lead Data Scientist

Dallas, TX · On-site +1

Ph.D. in Computer, Science, Data Science, Machine Learning, or a related field. Additional ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Humana

Lead Data Scientist

Dallas, TX · On-site +1

Ph.D. in Computer, Science, Data Science, Machine Learning, or a related field. Additional ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Humana

Lead Data Scientist

Dallas, TX · On-site +1

Ph.D. in Computer, Science, Data Science, Machine Learning, or a related field. Additional ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

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 ...

H R PUNDITS INC

Data Engineer

Carrollton, TX · On-site +1

$120K/yr

Lewisville TX Onsite/ Remote: Day 1 Onsite at customer location Automotive domain Must. Job ... Computer Science, Informatics, or a related field required Masters degree in Computer Science ...

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Remote Co Op Computer Science information

What are the key skills and qualifications needed to thrive as a Remote Co-Op Computer Science student, and why are they important?

To thrive as a Remote Co-Op Computer Science student, you need a solid grasp of programming fundamentals, data structures, algorithms, and typically be pursuing or have completed coursework toward a computer science degree. Familiarity with version control systems like Git, collaborative platforms such as GitHub or Jira, and exposure to coding languages like Python, Java, or C++ are commonly expected. Strong communication, self-motivation, and time management are essential soft skills for remote teamwork and independent learning. These skills ensure you can effectively contribute to projects, adapt to remote workflows, and maximize your experiential learning.

How do Remote Co-Op Computer Science roles typically facilitate mentorship and team collaboration despite the virtual setting?

Remote Co-Op Computer Science positions often leverage various collaboration tools such as Slack, Microsoft Teams, and Zoom to foster communication and mentorship. You'll participate in regular virtual stand-ups, code reviews, and project meetings, ensuring you stay connected with your team and receive guidance from senior engineers. Many companies assign a dedicated mentor or buddy to help you navigate both technical challenges and company culture. This structure allows you to build relationships, gain feedback, and make meaningful contributions without being onsite.

What is a Remote Co-Op in Computer Science?

A Remote Co-Op in Computer Science is a paid or unpaid work placement that allows students to gain real-world experience in their field while working from a location outside the traditional office, such as their home. These positions are typically part of a college or university's cooperative education program, blending academic learning with practical work experience. Students work on software development, data analysis, or IT projects under the supervision of professionals, helping them build technical skills and professional networks. Remote Co-Ops offer flexibility and can connect students with companies outside their local area, broadening their career opportunities.

What is the difference between Remote Co Op Computer Science vs Remote Software Intern?

AspectRemote Co Op Computer ScienceRemote Software Intern
CredentialsTypically enrolled in a computer science program, may require coursework or enrollment verificationUsually students pursuing a degree in computer science or related field, may need proof of enrollment
Work EnvironmentRemote, collaborative team settings, often part-time during academic termsRemote, project-based tasks, often part-time or summer internships
Employer & Industry UsageUsed by tech companies, startups, and corporations for student talent pipelinesCommonly offered by tech firms, startups, and software companies for skill development

Both roles are designed for students gaining practical experience in computer science. The main difference lies in the stage of education and the program structure: Co Op positions are typically part of a formal cooperative education program, while Software Internships are often summer or short-term roles. Both provide valuable industry exposure and skill development in remote settings.

What are the most commonly searched types of Remote Computer Science jobs in Dallas, TX? The most popular types of Remote Computer Science jobs in Dallas, TX are:
What are popular job titles related to Remote Co Op Computer Science jobs in Dallas, TX? For Remote Co Op Computer Science jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Remote Co Op Computer Science jobs in Dallas, TX look for? The top searched job categories for Remote Co Op Computer Science jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Remote Co Op Computer Science jobs? Cities near Dallas, TX with the most Remote Co Op Computer Science job openings:
Remote Co Op Computer Science jobs near you
ML / Bioinformatics Data Scientist

ML / Bioinformatics Data Scientist

IT America Inc

Dallas, TX • Remote

Contractor

Posted 26 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.