Remote Scientist Jobs
Remote scientist jobs are open across the U.S. in sectors like biotech, pharmaceuticals, environmental science, and data-driven research, where distributed teams are now a standard operating model. From entry-level research roles to senior principal scientists, employers hiring remotely right now include CVS Health, Prairie Engineers, P.C., and Maximus. Find a role that fits below and apply directly.
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Be part of a team that makes a real difference.
Mitchell is looking for a Data Scientist to identify and deliver AI/ML opportunities across our product portfolio. You'll work closely with product managers and engineers to turn business problems into working solutions — including generative AI and large language models (LLMs).
Responsibilities:
- Identify AI/ML opportunities across products and support implementation efforts.
- Design and test prompts for LLM-based generative AI features.
- Build, evaluate, and deploy machine learning models in production.
- Partner with product managers, engineers, and domain experts to solve business problems with ML.
- Follow and contribute to best practices for ML pipelines, model monitoring, and deployment.
- Present findings clearly to both technical and non-technical audiences.
You are a motivated self-starter who can work through ambiguous problems with minimal direction. You bring:
- Strong analytical skills and solid knowledge of ML methodologies, data engineering, and feature engineering.
- Ability to collaborate with engineering teams on scalable ML pipelines and established standards.
- Clear communication skills — comfortable presenting to non-technical stakeholders and sharing knowledge across teams.
- A habit of staying current with ML research through papers, blogs, and open-source projects.
Qualifications:
- MS or PhD in Math, Statistics, Computer Science, or a related field.
- MS: 2 years of professional ML experience
- PhD: 1+ years of professional ML experience
- 2+ years of experience building, deploying, and maintaining ML models in production.
- Hands-on experience with data warehouses, feature engineering, ML pipeline automation, and model monitoring.
- Solid knowledge of ML algorithms and techniques, with the ability to explain core concepts clearly.
- High proficiency in Python and SQL.
- Good understanding of data warehousing and ETL processes.
- Strong written and verbal communication skills.
- Nice to have: Experience with AWS SageMaker.
The Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with disability.
#LI-Remote
Be part of a team that makes a real difference.
Mitchell is looking for a Data Scientist to identify and deliver AI/ML opportunities across our product portfolio. You'll work closely with product managers and engineers to turn business problems into working solutions — including generative AI and large language models (LLMs).
Responsibilities:
- Identify AI/ML opportunities across products and support implementation efforts.
- Design and test prompts for LLM-based generative AI features.
- Build, evaluate, and deploy machine learning models in production.
- Partner with product managers, engineers, and domain experts to solve business problems with ML.
- Follow and contribute to best practices for ML pipelines, model monitoring, and deployment.
- Present findings clearly to both technical and non-technical audiences.
You are a motivated self-starter who can work through ambiguous problems with minimal direction. You bring:
- Strong analytical skills and solid knowledge of ML methodologies, data engineering, and feature engineering.
- Ability to collaborate with engineering teams on scalable ML pipelines and established standards.
- Clear communication skills — comfortable presenting to non-technical stakeholders and sharing knowledge across teams.
- A habit of staying current with ML research through papers, blogs, and open-source projects.
Qualifications:
- MS or PhD in Math, Statistics, Computer Science, or a related field.
- MS: 2 years of professional ML experience
- PhD: 1+ years of professional ML experience
- 2+ years of experience building, deploying, and maintaining ML models in production.
- Hands-on experience with data warehouses, feature engineering, ML pipeline automation, and model monitoring.
- Solid knowledge of ML algorithms and techniques, with the ability to explain core concepts clearly.
- High proficiency in Python and SQL.
- Good understanding of data warehousing and ETL processes.
- Strong written and verbal communication skills.
- Nice to have: Experience with AWS SageMaker.
The Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with disability.
#LI-Remote
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Find Remote Scientist JobsRemote Scientist Job Market
Who's Hiring
- CVS Health24
- Prairie Engineers, P.C.10
- Maximus4
- Innodata4
- Amgen3
Top Industries Hiring
- Biotechnology & Pharmaceuticals
- Consulting & Professional Services
- Retail
- Education
- Insurance
What Employers Look For
The qualifications that appear most often in remote scientist jobs.
- Bachelor's, master's, or doctoral degree in a relevant scientific discipline
- Hands-on experience with laboratory instrumentation and standard research protocols
- Proficiency in data analysis software such as R, Python, MATLAB, or equivalent tools
- Familiarity with Good Laboratory Practices and regulatory documentation standards
- Ability to design experiments, interpret results, and communicate findings in written reports
- Experience with peer-reviewed literature review and scientific writing or publication
Tips for Your Remote Scientist Job Search
Apply early to remote roles that fit
Migrate Mate lists remote scientist openings from across the U.S. in one place, so you can find roles that match your background and apply directly without sorting through mixed location results.
Document your independent research workflow
Remote employers want evidence you can drive projects without daily oversight. Write up your methods, decisions, and results from past work as concise case studies, even if the work was academic. Concrete documentation signals the self-direction remote science roles demand.
Sharpen your async written communication
Remote scientist teams run on written updates rather than hallway conversations. Practice summarizing experiment status, data findings, and blockers in tight, clear prose. Comfort with tools like Notion, Confluence, or shared electronic lab notebooks is something remote employers actively screen for.
Target sectors with distributed research teams
Biotech, pharmaceutical, environmental research, and health tech companies have built remote infrastructure for scientific work. Focusing your search on firms in these sectors means you're applying where remote scientist roles already exist, rather than hoping a traditional lab converts.
Remote Scientist Jobs: Frequently Asked Questions
How do I get a remote scientist job?
Target companies with established distributed research teams, such as biotech firms, CROs, and health tech companies that have built remote workflows into their core operations. Remote employers screen heavily for self-direction, async written communication, and proficiency with tools like electronic lab notebooks, collaborative data platforms, and video conferencing. A portfolio of documented research outcomes and clear written summaries of your methods gives you a concrete edge.
Which companies hire remote scientists?
Remote scientist roles are posted by CVS Health, Prairie Engineers, P.C., and Maximus and others right now, based on current remote listings on Migrate Mate as of September 2026. These include remote-first biotech and pharmaceutical companies, environmental and clinical research organizations, and health tech firms running distributed scientific teams.
Can you get a remote scientist job with no experience?
Yes, but remote entry-level scientist roles are harder to land because employers expect you to work independently from day one without in-person mentorship. Your strongest path is through companies that hire junior researchers onto distributed teams, such as CROs and health tech startups. Demonstrating async communication skills, sharing documented personal or academic projects, and showing comfort with remote research tools can open the door.
Do you need a degree for remote scientist jobs?
Usually, but the weight a remote employer places on a degree depends on the discipline and seniority. Many biotech and environmental roles expect at least a bachelor's in a relevant field, while some data science or computational biology positions weigh demonstrated skills and published or portfolio work equally alongside credentials. Certifications, independent research, and strong written documentation of your methods can offset a non-traditional educational background.
Which industries hire the most remote scientists?
Remote scientist roles concentrate in Biotechnology & Pharmaceuticals, Consulting & Professional Services, and Retail, based on current remote listings on Migrate Mate as of September 2026. These sectors hire scientists remotely because their research workflows, data analysis, and regulatory documentation translate well to distributed team structures.
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