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Computer Science Peer Mentor Jobs in Roxbury, MA

1910

AI Research Scientist III

Boston, MA · On-site

... publish peer reviewed scientific articles and mentor junior AI Researchers with their work • ... Required : • PhD in a relevant discipline (Computer Science, Biology, Chemistry, etc.) • 3+ ...

1910

AI Research Scientist III

Boston, MA · On-site

... publish peer reviewed scientific articles and mentor junior AI Researchers with their work • ... Required : • PhD in a relevant discipline (Computer Science, Biology, Chemistry, etc.) • 3+ ...

baycove

Peer Specialist

Dorchester, MA · On-site

$19 - $24.50/hr

... mentor to Persons in their journeys to recovery and self-sufficiency. The Peer Specialist ... Proficiency in word processing and other computer functions using Windows, Word, and Google Email ...

baycove

Peer Specialist

Dorchester, MA · On-site

$19 - $24.50/hr

... mentor to Persons in their journeys to recovery and self-sufficiency. The Peer Specialist ... Proficiency in word processing and other computer functions using Windows, Word, and Google Email ...

Bay Cove Human Services, Inc.

Peer Specialist

Boston, MA · On-site

$19.50 - $25.25/hr

... mentor to Persons in their journeys to recovery and self-sufficiency. The Peer Specialist ... Proficiency in word processing and other computer functions using Windows, Word, and Google Email ...

Gradient AI

Staff Data Scientist

Boston, MA · On-site +1

$160K - $195K/yr

D in Computer Science, Data Science, Biostatistics, Mathematics, or similar related field AND 3-5 ... Strong peer leadership and ability to mentor junior DS on best practices and problem solving.

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Computer Science Peer Mentor information

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

As of Aug 11, 2026, the average hourly pay for computer science peer mentor in Roxbury, MA is $20.96, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $22.98 per hour, depending on experience, location, and employer.

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 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 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 programs offer stipends or hourly pay depending on the institution. Paid roles typically require mentoring skills, technical knowledge, and sometimes training or certifications. Compensation varies by program and organization.

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 job categories do people searching Computer Science Peer Mentor jobs in Roxbury, MA look for? The top searched job categories for Computer Science Peer Mentor jobs in Roxbury, MA are:
Computer Science Peer Mentor jobs near you

AI Research Scientist III

1910

Boston, MA • On-site

Full-time

Re-posted 16 days ago

Job description

Job Summary:
1910 is an AI-native biotech company pioneering drug discovery through advanced AI and multimodal data integration. As an AI Research Scientist III, you will contribute to drug design campaigns by applying AI/ML models and mentoring junior researchers while keeping up with cutting-edge research in the field.
Responsibilities:
• Propose and prototype AI and Machine Learning solutions that address use cases in 1910's design pipeline
• Independently apply productized AI and Machine Learning models to advance 1910's active drug design campaigns
• Independently write and publish peer reviewed scientific articles and mentor junior AI Researchers with their work
• Periodically presenting recent AI research at internal journal clubs
• Work cross-functionally with scientific colleagues, being a subject matter expert in how AI and Machine Learning can be used to answer cheminformatics and bioinformatics questions
• Keep up-to-date on cutting-edge research in the AI for drug discovery space
• Manage junior AI Research Scientists including having weekly 1:1s, and regular performance reviews
Qualifications:
Required:
• PhD in a relevant discipline (Computer Science, Biology, Chemistry, etc.)
• 3+ years of relevant industry experience (AI, Drug Discovery, etc.)
• A strong understanding of statistics and classical machine learning methods (SVM, RF, etc.)
• Industry experience training and deploying cutting edge deep learning methods (Transformers, Graph Neural Networks, etc.)
• Wet lab validation of at least 2 AI-driven drug discovery initiatives
• Demonstrated experience writing clean, maintainable, production-quality Python code, with examples available in code repositories
• Familiarity with MLOps and DevOps best practices
• Exposure to distributed computing (Microsoft Azure, HPC Cluster, etc.)
• Strong track record of publications of individual research in top-tier AI journals and conferences
• Ability to demonstrate business value related to developed AI and Machine Learning solutions in biology and medicinal chemistry related to your modeling efforts
• Ability to work effectively in a fast-paced startup environment with evolving projects and shifting priorities driven by business needs
• Excellent written and verbal communication skills, including the ability to create clear documentation for roadmaps, proposals, and related materials
Preferred:
• Past experience managing junior AI Research Scientists
Company:
We are the only AI-native biotech pioneering small and large molecule therapeutics discovery by integrating massive multimodal data, frontier AI models, and high-throughput lab automation into an infrastructure for AI-enabled drug discovery. Founded in 2018, the company is headquartered in Boston, USA, with a team of 11-50 employees. The company is currently Early Stage.

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