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Remote Computer Science Music Jobs in Washington

Dlapiper

Data Scientist

Washington, DC · 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 ...

New

Dlapiper

Data Scientist

Reston, VA · 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 ...

New

Leidos

Data Scientist

Bethesda, MD · On-site +1

The percentage of remote work will vary based on client requirements/deliverables Fun stuff you ... Degree in a quantitative or analytical field such as Computer Science, Mathematics, Economics ...

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All JobsComputer Science Music JobsRemote Computer Science Music JobsRemote Computer Science Music Jobs in Washington

Remote Computer Science Music information

What is a remote computer science music?

A Remote Computer Science Music job involves working at the intersection of music and computer science, typically from a location outside a traditional office. Professionals in this field might develop music software, create algorithms for music composition, analyze audio data, or build music recommendation systems. These jobs leverage programming, sound engineering, and machine learning skills to solve problems or create new experiences in the music industry. Working remotely allows individuals to collaborate with teams and clients from anywhere, using digital tools and platforms. This role is ideal for those passionate about both technology and music.

How do remote computer science professionals in music typically collaborate with composers, producers, and other team members?

Remote computer science professionals working in the music industry often rely on digital collaboration tools such as version control systems, cloud-based DAWs, and project management platforms to communicate and coordinate with composers, producers, and sound engineers. Regular virtual meetings and shared workspaces help ensure alignment on project goals, technical requirements, and creative direction. While asynchronous communication is common, establishing clear documentation and feedback channels is key to maintaining workflow efficiency and fostering a productive team environment.

What are the key skills and qualifications needed to thrive as a remote computer science music specialist, and why are they important?

To thrive as a Remote Computer Science Music Specialist, you need a solid background in computer science fundamentals, music theory, and digital audio production, often supported by a relevant degree or portfolio. Familiarity with programming languages (such as Python, C++, or Max/MSP), digital audio workstations (DAWs) like Ableton Live, and music technology tools is typically required. Creativity, strong communication, and the ability to collaborate virtually are standout soft skills for this role. These skills enable the integration of technology and music, fostering innovation and effective remote teamwork in a rapidly evolving field.

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

AspectRemote Computer Science MusicRemote Software Developer
Required CredentialsBachelor's in Computer Science or Music, coding certifications, music production skillsBachelor's in Computer Science or related field, coding certifications
Work EnvironmentHome office, music studios, online collaboration platformsHome office, tech companies, online coding environments
Employer & Industry UsageMusic tech companies, educational platforms, multimedia firmsTech firms, startups, software development agencies
Common Search & Comparison IntentUnderstanding roles combining music and computer scienceComparing software development roles with similar skills

Remote Computer Science Music combines expertise in computer science with music production or technology, often in creative or multimedia industries. Remote Software Developer focuses solely on coding and software creation across various industries. While both roles require programming skills, Remote Computer Science Music emphasizes a blend of technical and artistic skills, whereas Remote Software Developer centers on software development tasks.

Can I work remotely with a computer science music degree?

Remote work opportunities for those with a computer science music degree are available in fields such as software development, digital audio workstations, and multimedia programming. Skills in programming languages, audio software, and remote collaboration tools are often required to succeed in remote roles in this area.

How is remote computer science used in music?

Remote computer science professionals in music develop software for digital audio workstations, music production, and sound analysis. They often work with programming languages like Python or C++ and utilize tools such as MIDI interfaces and audio processing libraries to create or improve music technology applications.

What are popular job titles related to Remote Computer Science Music jobs in Washington?

For Remote Computer Science Music jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Remote Computer Science Music jobs in Washington look for?

The top searched job categories for Remote Computer Science Music jobs in Washington are:

Remote Computer Science Music jobs near you

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 13 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

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