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Computer Science Peer Mentor Jobs in Denton, TX (NOW HIRING)

bekco

ASPIRE Corporate IT Intern

Fort Worth, TX

$14.50 - $19.25/hr

... Computer Science, Management Information Systems, Cybersecurity, or a related field. * Must be a ... Ability to collaborate effectively with peers, mentors, and leaders across the organization.

Cliftonlarsonallen

Manager of Data Science

Dallas, TX · On-site

Mentor and guide analysts, supporting onboarding, skill development, and continuous learning across ... Degree in Statistics, Computer Science, Economics, Analytics, Data Science (e.g., Informatics, Data ...

CliftonLarsonAllen

Manager of Data Science

Dallas, TX · On-site

Mentor and guide analysts, supporting onboarding, skill development, and continuous learning across ... Degree in Statistics, Computer Science, Economics, Analytics, Data Science (e.g., Informatics, Data ...

Vangard, Inc.

Data Scientist, Specialist

Dallas, TX · On-site

Mentor peers and teammates on applied AI and businessdriven problem solving. Qualifications ... MS or PhD in Computer Science, Machine Learning, Data Science, or a related quantitative field ...

GameStop

Lead Software Engineer - Java

Grapevine, TX · On-site

Provide mentorship and guidance to peers and less experienced engineers. * Use data to provide ... Bachelor's degree in computer science or related field, or equivalent relevant experience * 12 ...

Texas Instruments

Data Scientist

Dallas, TX · On-site

Mentor data scientists and engineers, elevating team capability through technical guidance, model ... Master's degree in Data Science, Computer Science, Mathematics, Statistics, or a related ...

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Showing results 21-40

All JobsComputer Science Peer Mentor JobsComputer Science Peer Mentor Jobs in Denton, TX

Computer Science Peer Mentor information

See Denton, TX salary details

$11

$18

$25

How much do computer science peer mentor jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for computer science peer mentor in Denton, TX is $18.11, according to ZipRecruiter salary data. Most workers in this role earn between $15.77 and $19.86 per hour, depending on experience, location, and employer.

What is a computer science peer mentor?

Computer Science Peer Mentors are experienced students who provide guidance, support, and resources to fellow computer science students. They help peers with academic questions, study strategies, and navigating the challenges of computer science coursework. Peer mentors often lead study sessions, offer advice on time management, and connect students to useful campus resources. Their goal is to foster a supportive learning environment and help students succeed in their computer science studies.

What skills and qualifications are needed to thrive as a computer science peer mentor?

To thrive as a Computer Science Peer Mentor, a strong grasp of core computer science concepts, programming languages, and coursework—often demonstrated by successful completion of relevant classes—is essential. Familiarity with learning management systems, code collaboration platforms (like GitHub), and experience with tutoring tools or educational software is typically required. Excellent communication, patience, and active listening skills help a mentor effectively support and motivate fellow students. These skills ensure mentors can clearly explain complex topics, foster a supportive learning environment, and guide mentees toward academic success.

What challenges do computer science peer mentors face when supporting fellow students, and how are these typically addressed?

Computer Science Peer Mentors often encounter challenges such as explaining complex technical topics in an accessible way, managing time between mentoring and their own coursework, and addressing diverse learning styles among mentees. To address these, mentors receive training in communication and teaching strategies, collaborate closely with faculty, and participate in regular team meetings to share best practices. Additionally, most programs encourage mentors to set clear boundaries and use structured schedules to balance their responsibilities effectively.

What is the difference between Computer Science Peer Mentor vs Computer Science Tutor?

AspectComputer Science Peer MentorComputer Science Tutor
Required CredentialsTypically current students with strong CS knowledgeOften certified or experienced in specific CS topics
Work EnvironmentPeer-led sessions, informal settings, campus programsFormal tutoring sessions, academic centers, online platforms
Employer & Industry UsageUniversity programs, student organizationsAcademic institutions, tutoring companies
Common Search & Comparison IntentUnderstanding peer support roles in CSFinding professional help for CS coursework

Computer Science Peer Mentors are usually current students providing informal guidance within campus programs, focusing on peer support. In contrast, Computer Science Tutors often have formal credentials and offer structured tutoring sessions. Both roles aim to assist students but differ in their approach, credentials, and settings.

Do computer science peer mentors get paid?

Computer science peer mentors are often volunteer positions, but some institutions offer stipends or hourly pay for these roles. Payment depends on the program or organization, and some may provide academic credit or other benefits instead of monetary compensation.

What are popular job titles related to Computer Science Peer Mentor jobs in Denton, TX?

For Computer Science Peer Mentor jobs in Denton, TX, the most frequently searched job titles are:

What job categories do people searching Computer Science Peer Mentor jobs in Denton, TX look for?

The top searched job categories for Computer Science Peer Mentor jobs in Denton, TX are:

What cities near Denton, TX are hiring for Computer Science Peer Mentor jobs?

Cities near Denton, TX with the most Computer Science Peer Mentor job openings:

Computer Science Peer Mentor jobs near you
Infographic showing various Computer Science Peer Mentor job openings in Denton, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $37,674 per year, or $18.1 per hour.

Data Scientist - Innovation - PhD

Caris Life Sciences

Irving, TX • On-site

Full-time

Re-posted 24 days ago

Job description

At Caris, we understand that cancer is an ugly word-a word no one wants to hear, but one that connects us all. That's why we're not just transforming cancer care-we're changing lives.
We introduced precision medicine to the world and built an industry around the idea that every patient deserves answers as unique as their DNA. Backed by cutting-edge molecular science and AI, we ask ourselves every day: "What would I do if this patient were my mom?" That question drives everything we do.
But our mission doesn't stop with cancer. We're pushing the frontiers of medicine and leading a revolution in healthcare-driven by innovation, compassion, and purpose.
Join us in our mission to improve the human condition across multiple diseases. If you're passionate about meaningful work and want to be part of something bigger than yourself, Caris is where your impact begins.
Position Summary
Want to help build AI models for the next generation of cancer diagnostics? The models you build here have direct line-of-sight to translational research and clinical decision-making -- work with the potential to shape how cancer is detected, profiled, and treated. As a Data Scientist on the Innovation Team, you will develop machine learning and deep learning algorithms on molecular sequencing data (WGS, WES, RNA-seq, cfDNA), design analytic pipelines for novel biomarker discovery, and tackle the most challenging problems in liquid biopsy and translational oncology research.
About the Team
The Innovation Team is a small, fast-moving R&D group within Caris Life Sciences, drawing on proprietary clinical research data that no other team in oncology can match. We work closely with bioinformaticians, molecular biologists, and clinical scientists to develop high-impact AI models with the potential to shift the landscape of clinical outcomes. You will have the freedom to lead research projects end-to-end -- from problem framing to deployment -- and to shape the methods that drive Caris' R&D agenda. In your first year, success looks like leading one or two research projects from problem framing through deployment, contributing to a peer-reviewed publication or conference submission, and helping shape methods that inform Caris' diagnostic platform.
Job Responsibilities
  • Processing, manipulating, and analyzing large diverse datasets generated from NGS to develop biomarkers for cancer diagnosis, prognosis, and treatment.
  • Developing novel algorithms for feature extraction and biomarker discovery from molecular sequencing data.
  • Applying first-principles analysis to translate open research questions into tractable, well-defined problems.
  • Applying state-of-the-art machine learning and deep learning methods to biological and clinical research questions.
  • Creating rigorous evaluation frameworks and tracking experiments systematically using tools such as MLflow or Weights & Biases.
  • Authoring peer-reviewed research publications and presenting findings at scientific conferences.

Required Qualifications
  • PhD in Data Science, Bioinformatics, Computational Biology, Genomics, Statistics, Computer Science, Engineering, Biophysics, or a related quantitative or biological field.
  • PhD recently completed, or up to approximately 2 years of post-doctoral research experience (academic or industry).
  • Demonstrated work on a cancer biology or translational research problem (PhD thesis chapter, peer-reviewed publication, or postdoc / industry role).
  • Hands-on experience with molecular sequencing data (e.g., WGS, WES, RNA-seq, cfDNA) including production-grade pipelines and analysis.
  • Hands-on experience with generative AI -- large language models, foundation models (e.g., genomic or protein language models), or agentic workflows applied to scientific or clinical data.
  • Proficiency with PyTorch and modern deep learning architectures (transformers, attention mechanisms), with demonstrated application of ML/DL to biological or clinical data.
  • First-author or co-first-author peer-reviewed publications in machine learning venues (e.g., NeurIPS, ICML, ICLR) or in bioinformatics / computational biology journals.
  • Strong Python; comfortable in Linux; proficient with git and collaborative workflows.

Preferred Qualifications
  • Multi-omics integration experience (genomics, transcriptomics, proteomics, methylation, etc.).
  • Experience with epigenetics -- DNA methylation analysis, chromatin biology, or related.
  • Interest in cell-free DNA, liquid biopsy, and next-generation early cancer diagnostics.
  • Interest in novel algorithm development for biomedical signal extraction in sequencing data.
  • Proficiency in cloud platforms (AWS EC2, S3, HealthOmics) and containerization (Docker).

Physical Demands
  • This role primarily involves sedentary work at a computer workstation, including extended periods of typing, reading screens, and virtual or in-person collaboration. Caris provides reasonable accommodations to qualified individuals with disabilities; candidates who need accommodation during the application or interview process are encouraged to contact Caris HR.

Training
All job-specific, safety, and compliance training are assigned based on the job functions associated with this employee.
Other
  • This position is on-site in Irving, TX. The team operates on a fast-iteration research cycle that benefits from close, in-person collaboration.
  • Relocation assistance may be available for qualified candidates.

Conditions of Employment: Individual must successfully complete pre-employment process, which includes criminal background check, drug screening, credit check ( applicable for certain positions) and reference verification.
This job description reflects management's assignment of essential functions. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time.
Caris Life Sciences is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with disability.

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