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Remote Data Science Music Jobs in Portland, OR (NOW HIRING)

micro1 AI

Cheminformatics Specialist - Remote

Gresham, OR · On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with ...

Argenx

Medical Science Liaison (WA, OR or UT)

Portland, OR · Remote

  • Medical

  • Retirement

... data,productsand trials, andis responsible forengagement with Key Opinion Leaders at academic and ... Ability for 50% travel #LI-Remote For applicants in the United States: The annual base salary ...

Absci Corporation

Senior Technical Product Manager

Vancouver, WA · On-site +1

$145K - $180K/yr

  • Medical

  • Dental

  • Vision

Senior Technical Product Manager (AI Research & Development) Remote within the United States ... Bachelor's degree in Computer Science, Bioinformatics, Data Science, Engineering, Life Sciences, or ...

micro1 AI

Cheminformatics Specialist - Remote

Gresham, OR · Remote

$80 - $110/hr

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

Stryker

Senior Staff Medical Writer (Remote)

Portland, OR · On-site +1

$143K - $238K/yr

Remote Stryker is hiring a Senior Staff Medical Writer to join our Endoscopy Division, to be based ... Conduct systematic literature reviews, evaluate scientific data, and integrate findings into ...

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Showing results 21-40

All JobsData Science Music JobsRemote Data Science Music JobsRemote Data Science Music Jobs in Portland, OR

Remote Data Science Music information

See Portland, OR salary details

$44K

$151.1K

$213.2K

How much do remote data science music jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote data science music in Portland, OR is $151,080.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,700.00 and $176,600.00 per year, depending on experience, location, and employer.

What is a remote data science music job?

A Remote Data Science Music job involves using data analysis, machine learning, and statistical techniques to analyze or generate music-related data, all while working remotely. Professionals in this field may work with streaming data, user preferences, music recommendation systems, audio signal analysis, or music composition algorithms. They typically collaborate with music platforms, record labels, or research teams to uncover trends, improve recommendations, or create new music experiences. This role requires both data science skills and an understanding of music theory or the music industry.

What are the key skills and qualifications needed to thrive as a remote data science music professional?

To thrive as a Remote Data Science Music professional, you need strong skills in statistics, machine learning, and music theory, often supported by a degree in data science, computer science, or music technology. Familiarity with programming languages like Python or R, experience with audio analysis tools, and proficiency in music-specific data platforms are typically required. Creativity, problem-solving, and effective remote communication are crucial soft skills for success in collaborative and innovative projects. These skills enable the effective analysis of music data, drive innovation in music technology, and foster productive teamwork in a remote environment.

How does a remote data science role in the music industry typically collaborate with other departments, such as marketing or A&R?

In a remote data science music role, collaboration with teams like marketing, product, and A&R (Artists & Repertoire) is often achieved through regular virtual meetings, shared analytics dashboards, and cross-functional project management tools. Data scientists may analyze listener trends, predict song success, or segment audiences, providing actionable insights to guide marketing campaigns and artist development strategies. Strong communication skills and proactive coordination are essential, as data-driven recommendations directly inform creative and business decisions within the company.

What is the difference between Remote Data Science Music vs Remote Data Analysis?

AspectRemote Data Science MusicRemote Data Analysis
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; programming skills in Python/R; knowledge of music dataBachelor's in Data Analysis, Statistics, or related; proficiency in Excel, SQL, and visualization tools
Work EnvironmentCollaborative teams, often in tech or entertainment industries, with a focus on music dataBusiness or research settings analyzing various data types, often in finance, marketing, or healthcare
Employer & Industry UsageMusic tech companies, streaming services, entertainment industryCorporate, research institutions, marketing agencies across multiple industries

Remote Data Science Music involves applying data science skills specifically to music-related data, often requiring knowledge of music industry trends and audio data analysis. Remote Data Analysis is broader, focusing on analyzing various data types across industries. While both roles require strong analytical skills and familiarity with data tools, Remote Data Science Music emphasizes music-specific data and industry knowledge.

What are popular job titles related to Remote Data Science Music jobs in Portland, OR?

For Remote Data Science Music jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Remote Data Science Music jobs in Portland, OR look for?

The top searched job categories for Remote Data Science Music jobs in Portland, OR are:

Remote Data Science Music jobs near you
Infographic showing various Remote Data Science Music job openings in Portland, OR as of August 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 100% Remote job distribution, with an average salary of $151,080 per year, or $72.6 per hour.

Cheminformatics Specialist - Remote

micro1 AI

Beaverton, OR • On-site, Remote

$90 - $120/hr

Part-time

Posted 22 days ago

Job description

Role Title: Computational Biology Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology Experts to contribute their advanced scientific knowledge to a dynamic customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry.
  2. Provide feedback and domain-specific insights to improve AI models in computational biology contexts.
  3. Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with industry standards.
  4. Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry challenges.
  5. Collaborate asynchronously with other experts to validate findings and share perspectives on project deliverables.
  6. Contribute to the refinement of data curation methodologies and best practices in computational biology.


Preferred Qualifications

  1. Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field.
  2. Demonstrated expertise in medicinal chemistry, including experience with drug discovery or design.
  3. Strong analytical skills with a deep understanding of biological datasets and scientific literature.
  4. Experience applying computational methods to solve problems in chemistry or biology.
  5. Proficiency with relevant bioinformatics tools, cheminformatics platforms, or data analysis software.
  6. Excellent written communication skills to clearly explain complex scientific concepts to diverse audiences.
  7. Previous participation in cross-disciplinary or AI-driven scientific projects is a plus.

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