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Remote Computer Science Internship Jobs in Sykesville, MD

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 ...

CNE Developer-TS Required

Columbia, MD · On-site +1

$225K - $250K/yr

Associate's degree in Computer Science, Computer Engineering, Software Engineering, Electrical ... Flexible and remote work policies for most positions * Flexible PTO and holiday schedule OUR ...

Showing results 21-40

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 cities near Sykesville, MD are hiring for Remote Computer Science Internship jobs?

Cities near Sykesville, MD with the most Remote Computer Science Internship job openings:

Principal Data Scientist

BullFrog AI Holdings, Inc.

Gaithersburg, MD • On-site, Remote

$175K - $215K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 days ago


Job description

Job Type
Full-time
Description
About BullFrog AI
BullFrog AI (NASDAQ: BFRG) is a computational biology company spun out of the Johns Hopkins Applied Physics Laboratory. We sit at the intersection of AI and drug discovery, building platforms that help pharmaceutical and biotech companies make better, faster decisions across the drug development lifecycle:
  • bfPREP™ - biology-aware data harmonization that unlocks the value trapped in fragmented, multi-site clinical and omics datasets
  • bfLEAP™ - causal AI analytics for patient subgroup discovery, biomarker identification, and drug target prioritization
  • bfARENAS™ - structured multi-criteria decision support for high-stakes portfolio, indication, and go/no-go decisions

The Role
Help turn complex biomedical and clinical data into defensible decisions for drug discovery and development.
BullFrog AI is seeking an exceptional Principal Data Scientist with a strong background in biomedical analytics. This is a senior individual contributor role that combines client-facing project leadership with direct contributions to BullFrog's in-house platform - spanning target discovery, patient subtyping, and multimodal data analysis.
Day-to-day work is client-dependent, with each engagement bringing a different analytical challenge. You will be expected to lead from execution and bring scientific rigor, technical depth, and clear communication to every project.
What You'll Do
Client Engagement & Project Leadership
  • Own end-to-end analytical workstreams across target discovery, patient subtyping, and multimodal data exploration
  • Translate complex data science findings into clear, actionable insights for non-technical stakeholders and senior leadership
  • Collaborate effectively with distributed, remote teams to ensure seamless communication and on-time delivery

Technical Delivery
  • Design, implement, and optimize AI/ML models using diverse healthcare data types, including omics, claims, and EHR
  • Conduct multi-omic analyses such as RNA-seq differential expression, clustering, genomic association analysis, and biomarker discovery
  • Implement NLP and LLM solutions tailored to life sciences datasets
  • Contribute to the development and refinement of BullFrog's in-house platform capabilities

Requirements
What We're Looking For
Education
• Advanced degree (MS or PhD) in a quantitative field - biology, computer science, engineering, or related
Experience
• 5+ years of post-graduate experience in life sciences analytics in pharma, biotech, or consulting
• Demonstrated proficiency in Python; production-quality code in a research or commercial environment
• Hands-on experience with major healthcare data types - omics data required; claims and EHR experience strongly preferred
• Hands-on experience applying LLMs or NLP to real analytical workflows, ideally biomedical or clinical text extraction, summarization, evaluation, or retrieval
• Proven track record of collaborating effectively with remote teams
• Must be legally authorized to work in the United States
Desired Skills
• Prior experience in multi-modal analysis with deep learning
• Causal inference experience - a significant differentiator for this role
• NLP/LLM expertise applied to life sciences and healthcare text
• Strong foundation in data engineering and databases
• Experience with graph-based approaches: feature engineering, ML, and visualization
• Cloud platform experience, particularly AWS or Google Cloud
Who Will Thrive Here
• Intellectually versatile - energized by moving across problem types, data modalities, and scientific domains
• Client-ready - comfortable presenting to and partnering with senior scientific and business stakeholders
• Independently driven - able to scope, execute, and deliver complex analyses without heavy oversight
• Scientifically rigorous - you hold your work to a publication-quality standard even in a commercial environment
• Collaborative by default - remote-first is second nature; you communicate proactively and close loops
What We Offer
Base salary range: $175,000 - $210,000 per year, based on level of education, years of relevant experience, skills, and location. This role is eligible for performance bonus and equity/stock options, subject to company and plan terms. Benefits include medical, dental, and vision from day one, short-term disability, 401(k) from first paycheck, 15 days PTO, 11 paid holidays annually, and maternity and paternity leave.
BullFrog AI is an equal opportunity employer. We are committed to building a diverse team that reflects the communities and patients our work ultimately serves.
Advancing medicine through artificial intelligence.
Salary Description
$175,000 - $215,000 annually