ZipRecruiter

Log In

2

Remote Chemistry Data Science Jobs (NOW HIRING)

Mercor

Data Science Expert - Fully Remote

New York, NY · Remote

$70 - $100/hr

... Data Science Type: Contract Compensation: $70-$100/hour Location: Remote Commitment: 40 hours/week ... Chemistry , Mathematics , Materials Science , or other STEM background. * Demonstrated technical ...

Mat3ra

Computational Materials Scientist

Walnut Creek, CA · On-site +1

$90K - $140K/yr

... chemistry, data science, and computer science to help us develop a software framework for designing and discovering new advanced materials and chemicals. Work will focus on (1) the application of ...

next page

Showing results 1-20

All JobsRemote Chemistry Data Science Jobs

Remote Chemistry Data Science information

See salary details

$37.5K

$122.7K

$196.5K

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

As of Jun 23, 2026, the average yearly pay for remote chemistry data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a Remote Chemistry Data Scientist?

A Remote Chemistry Data Scientist is a professional who uses data science techniques to analyze and interpret chemical data, all while working remotely. They apply statistical modeling, machine learning, and computational methods to solve problems in chemistry, such as predicting chemical properties or optimizing experiments. These professionals often collaborate with chemists, researchers, and engineers to extract actionable insights from large datasets. Working remotely allows them to perform these tasks from anywhere, using digital communication and collaboration tools.

What is the difference between Remote Chemistry Data Science vs Remote Chemical Engineering Data Science?

AspectRemote Chemistry Data ScienceRemote Chemical Engineering Data Science
Required CredentialsBachelor's or Master's in Chemistry, Data Science skillsBachelor's or Master's in Chemical Engineering, Data Science skills
Work EnvironmentResearch labs, pharmaceutical companies, biotech firmsManufacturing plants, process industries, chemical companies
Employer & Industry UsageResearch & development, product formulation, quality controlProcess optimization, safety analysis, plant operations
Common Search & Comparison IntentUnderstanding roles in chemistry-focused data science jobsExploring data science roles in chemical engineering contexts

Remote Chemistry Data Science focuses on applying data analysis to chemical research, product development, and quality control within chemistry-related industries. In contrast, Remote Chemical Engineering Data Science emphasizes process optimization and plant operations in chemical manufacturing. While both roles require data science skills and chemistry or engineering backgrounds, their work environments and industry applications differ significantly.

What are the key skills and qualifications needed to thrive as a Remote Chemistry Data Scientist, and why are they important?

To thrive as a Remote Chemistry Data Scientist, you need a strong background in chemistry, data analysis, and statistical modeling, often supported by an advanced degree in chemistry, data science, or related fields. Familiarity with programming languages like Python or R, cheminformatics tools, and data visualization platforms is typically required. Excellent problem-solving, communication, and self-motivation skills help you manage remote work, collaborate with interdisciplinary teams, and explain complex findings clearly. These capabilities are crucial for deriving actionable insights from chemical data and driving innovation in research and industry from a remote setting.

How do remote Chemistry Data Science professionals typically collaborate with laboratory teams and other stakeholders?

Remote Chemistry Data Science professionals often collaborate with laboratory teams and other stakeholders through virtual meetings, cloud-based data sharing platforms, and project management tools. Effective communication is key, as they translate complex data analyses into actionable insights for researchers and management. Regular check-ins, collaborative documentation, and participation in virtual lab discussions help ensure alignment on project goals and timelines. Building strong relationships remotely can be a challenge, but leveraging digital collaboration tools and proactive communication helps maintain productivity and teamwork.
More about Remote Chemistry Data Science jobs
What cities are hiring for Remote Chemistry Data Science jobs? Cities with the most Remote Chemistry Data Science job openings:
What are the most commonly searched types of Chemistry Data Science jobs? The most popular types of Chemistry Data Science jobs are:
What states have the most Remote Chemistry Data Science jobs? States with the most job openings for Remote Chemistry Data Science jobs include:
What job categories do people searching Remote Chemistry Data Science jobs look for? The top searched job categories for Remote Chemistry Data Science jobs are:
Remote Chemistry Data Science jobs near you

Data Science Expert - Fully Remote

Mercor

New York, NY • Remote

$70 - $100/hr

Full-time

Posted 4 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Expert Professionals — AI & Data Science
Type: Contract
Compensation: $70–$100/hour
Location: Remote
Commitment: 40 hours/week

Role Responsibilities

  • Guide research and engineering teams to close knowledge gaps in AI and data science domains. Surface nuances that distinguish expert-level work from surface-level reasoning.
  • Design challenging agentic tasks rooted in real-world ML, data science, data engineering, and software workflows. Write accurate, well-documented solutions that serve as ground truth.
  • Evaluate AI agent outputs against your solutions. Provide detailed written feedback capturing correctness, efficiency, and reasoning quality.
  • Develop and refine evaluation frameworks and rubrics for assessing agentic behavior on AI and data science tasks.
  • Collaborate with other subject matter experts to ensure consistency and accuracy in training data.

Qualifications

Must-Have

  • 3+ years of research, academic, or industry experience in Machine Learning, Data Science, Software Engineering, Computer Science, Statistics, Biology, Electrical/Mechanical/Civil Engineering, Physics, Chemistry, Mathematics, Materials Science, or other STEM background.
  • Demonstrated technical expertise in programming, data analysis, ML modeling, statistical methods, or computational methods.
  • Ability to commit to 40 hours per week during weekdays for the duration of the engagement.
  • Strong written communication skills and the ability to explain technical decisions clearly.

Preferred

  • Prior experience with data annotation, labeling, evaluation, or human feedback collection.
  • Experience with LLMs, AI systems, or agentic workflows; familiarity with agentic frameworks.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.