Remote Scientific Consultant Jobs
Remote Scientific Consultant jobs are open across the U.S. at remote-first firms and distributed teams in sectors including life sciences, pharmaceuticals, environmental services, and technology. Employers hiring remotely right now include Zifo and ZS Associates. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 6+ Remote Scientific Consultant jobs
ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS.
:
ZS’s Discovery Venture partners with clients to develop and deploy in silico approaches that accelerate the discovery of safer, more effective therapeutics. We work closely with other ZS practices, bringing hands-on scientific expertise to enhance both technology and strategy initiatives. As a Venture within ZS, we continuously develop, test, and refine new approaches to maximize impact for our clients and the patients they serve. This unique position enables us to combine agility and innovation with the resources and knowledge of ZS’s 13,000+ global team. ZS is expanding the Discovery Venture and seeking driven, curious, and creative experts to help shape the practice area, collaborate across ZS’s R&D teams, and deliver excellent outcomes for clients.
- Design, build, and deploy POCs and production-grade analytical and GenAI applications that support scientific decision-making in pharmaceutical research and development.
- Develop solutions that help scientists address use cases such as drug repurposing, target identification, gene prioritization, and other research-focused applications.
- Support the design and development of data foundations for pharmaceutical organizations, including databases, data warehouses, and data engineering solutions.
- Write high-quality Python / SQL code and contribute directly to the development of scalable applications, data pipelines, and analytical solutions.
- Supervise and provide technical guidance to developers, helping ensure solutions are robust, maintainable, and production ready.
- Apply quantitative methods, statistical thinking, and computational approaches to complex scientific and biological problems.
- Work closely with scientists, data engineers, developers, and other stakeholders to translate scientific requirements into technical solutions.
- Communicate fluently with scientific stakeholders and translate biological concepts and research needs into clear technical requirements.
- Contribute to the evaluation of emerging technologies, GenAI capabilities, and data approaches that can improve scientific workflows and decision-making.
What you’ll bring:
- A PhD or Master’s degree in a quantitative or scientific discipline such as applied mathematics, physics, computer science, biophysics, computational biology, bioinformatics, engineering, or a related field.
- Sufficient fluency in biology and life sciences to engage credibly with scientists and understand scientific requirements, particularly within pharmaceutical research and development.
- Strong quantitative and analytical training with the ability to apply structured problem-solving to complex scientific and technical challenges.
- Strong Python programming skills and experience building solutions that operate in production environments.
- At least 2.5 years of experience developing production-grade applications, analytical tools, data products, or data engineering solutions.
- Experience reviewing, supervising, or providing technical direction to developers or coding teams.
- Experience working with GenAI or machine learning applications, ideally within scientific or pharmaceutical use cases.
- Familiarity with data engineering concepts, including databases, data warehouses, data pipelines, and data architecture.
- Ability to translate scientific and business requirements into scalable technical solutions.
- Strong communication and stakeholder management skills, with the ability to work across scientific, technical, and business teams.
- Fluency in English
- Client-first mentality
- Intense work ethic
- Collaborative spirit and problem-solving approach
Additional Skills:
- Experience in pharmaceutical, biotech, or life sciences environments.
- Experience developing applications that support scientists or R&D teams.
- Exposure to drug discovery use cases such as drug repurposing, target identification, or gene prioritization.
- Experience with cloud platforms, modern data environments, or enterprise data infrastructure.
- A background in data engineering (PySpark, data quality ) and experience with one of the modern data & AI platforms (e.g., Databricks, Snowflake) is highly relevant for this role.
:
How you’ll grow:
- Cross-functional skills development & custom learning pathways
- Milestone training programs aligned to career progression opportunities
- Internal mobility paths that empower growth via s-curves, individual contribution and role expansions
Perks & Benefits:
At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well‑being, financial future, time away, and professional development. With robust skills‑building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you’ll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in United States, visit ZS US office locations | Where we work | ZS.
Hybrid working model:
We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.
Travel:
Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.
Considering applying?
At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems—the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive.
If you’re eager to grow, contribute, and bring your unique self to our work, we encourage you to apply.
ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.
Work Authorization:
This position is not eligible for visa sponsorship. Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship.
To complete your application:
An on-line application, including a full set of transcripts (official or unofficial), is required to be considered.
NO AGENCY CALLS, PLEASE.
Find Out More At:
www.zs.com
ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS.
:
ZS’s Discovery Venture partners with clients to develop and deploy in silico approaches that accelerate the discovery of safer, more effective therapeutics. We work closely with other ZS practices, bringing hands-on scientific expertise to enhance both technology and strategy initiatives. As a Venture within ZS, we continuously develop, test, and refine new approaches to maximize impact for our clients and the patients they serve. This unique position enables us to combine agility and innovation with the resources and knowledge of ZS’s 13,000+ global team. ZS is expanding the Discovery Venture and seeking driven, curious, and creative experts to help shape the practice area, collaborate across ZS’s R&D teams, and deliver excellent outcomes for clients.
- Design, build, and deploy POCs and production-grade analytical and GenAI applications that support scientific decision-making in pharmaceutical research and development.
- Develop solutions that help scientists address use cases such as drug repurposing, target identification, gene prioritization, and other research-focused applications.
- Support the design and development of data foundations for pharmaceutical organizations, including databases, data warehouses, and data engineering solutions.
- Write high-quality Python / SQL code and contribute directly to the development of scalable applications, data pipelines, and analytical solutions.
- Supervise and provide technical guidance to developers, helping ensure solutions are robust, maintainable, and production ready.
- Apply quantitative methods, statistical thinking, and computational approaches to complex scientific and biological problems.
- Work closely with scientists, data engineers, developers, and other stakeholders to translate scientific requirements into technical solutions.
- Communicate fluently with scientific stakeholders and translate biological concepts and research needs into clear technical requirements.
- Contribute to the evaluation of emerging technologies, GenAI capabilities, and data approaches that can improve scientific workflows and decision-making.
What you’ll bring:
- A PhD or Master’s degree in a quantitative or scientific discipline such as applied mathematics, physics, computer science, biophysics, computational biology, bioinformatics, engineering, or a related field.
- Sufficient fluency in biology and life sciences to engage credibly with scientists and understand scientific requirements, particularly within pharmaceutical research and development.
- Strong quantitative and analytical training with the ability to apply structured problem-solving to complex scientific and technical challenges.
- Strong Python programming skills and experience building solutions that operate in production environments.
- At least 2.5 years of experience developing production-grade applications, analytical tools, data products, or data engineering solutions.
- Experience reviewing, supervising, or providing technical direction to developers or coding teams.
- Experience working with GenAI or machine learning applications, ideally within scientific or pharmaceutical use cases.
- Familiarity with data engineering concepts, including databases, data warehouses, data pipelines, and data architecture.
- Ability to translate scientific and business requirements into scalable technical solutions.
- Strong communication and stakeholder management skills, with the ability to work across scientific, technical, and business teams.
- Fluency in English
- Client-first mentality
- Intense work ethic
- Collaborative spirit and problem-solving approach
Additional Skills:
- Experience in pharmaceutical, biotech, or life sciences environments.
- Experience developing applications that support scientists or R&D teams.
- Exposure to drug discovery use cases such as drug repurposing, target identification, or gene prioritization.
- Experience with cloud platforms, modern data environments, or enterprise data infrastructure.
- A background in data engineering (PySpark, data quality ) and experience with one of the modern data & AI platforms (e.g., Databricks, Snowflake) is highly relevant for this role.
:
How you’ll grow:
- Cross-functional skills development & custom learning pathways
- Milestone training programs aligned to career progression opportunities
- Internal mobility paths that empower growth via s-curves, individual contribution and role expansions
Perks & Benefits:
At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well‑being, financial future, time away, and professional development. With robust skills‑building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you’ll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in United States, visit ZS US office locations | Where we work | ZS.
Hybrid working model:
We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.
Travel:
Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.
Considering applying?
At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems—the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive.
If you’re eager to grow, contribute, and bring your unique self to our work, we encourage you to apply.
ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.
Work Authorization:
This position is not eligible for visa sponsorship. Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship.
To complete your application:
An on-line application, including a full set of transcripts (official or unofficial), is required to be considered.
NO AGENCY CALLS, PLEASE.
Find Out More At:
www.zs.com
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Find JobsRemote Scientific Consultant Job Market
Who's Hiring
What Employers Look For
The qualifications that appear most often in remote scientific consultant jobs.
- Advanced degree in a natural, life, or physical science field
- Experience designing and executing scientific studies or technical assessments
- Proficiency with statistical analysis software such as R, SAS, or Python
- Familiarity with relevant regulatory frameworks such as FDA, EPA, or ISO standards
- Strong written communication skills for technical reports and client deliverables
- Project management experience coordinating multi-disciplinary teams or external stakeholders
Tips for Your Remote Scientific Consultant Job Search
Demonstrate async communication skills upfront
Remote scientific consultant employers prioritize candidates who communicate complex findings clearly in writing. Include writing samples, technical reports, or research summaries in your application materials to show you can convey scientific analysis without a live meeting.
Apply early to remote roles that fit
Migrate Mate lists remote scientific consultant openings from across the U.S. in one place, so you can find roles that match your scientific domain and apply directly without sifting through general job boards that mix remote and on-site listings.
Highlight independent project delivery on your resume
Remote employers want to know you can manage scientific projects without daily oversight. Describe specific projects you led from scoping to final deliverable, including the tools you used to collaborate remotely, such as shared data platforms, project trackers, or document collaboration software.
Prepare for asynchronous technical interviews
Many remote scientific consultant hiring processes include written case studies or take-home assessments before a live call. Practice structuring your scientific reasoning clearly in document form, because your written response often carries more weight than your live interview performance.
Remote Scientific Consultant Jobs: Frequently Asked Questions
How do I get a remote scientific consultant job?
Target remote-first consulting firms, biotech and pharma companies with distributed teams, and environmental or technology organizations that run projects across multiple sites. Remote employers screen for strong written communication, self-directed project management, and the ability to deliver findings asynchronously. Candidates who highlight experience leading projects independently, presenting results clearly in writing, and collaborating across time zones consistently stand out from the applicant pool.
Which companies hire remote scientific consultants?
Companies hiring remote scientific consultants right now include Zifo and ZS Associates, based on current remote listings on Migrate Mate as of November 2026. Remote openings for this role tend to come from remote-first consulting practices, distributed biotech and pharmaceutical teams, and environmental services firms that manage geographically spread projects.
Can you get a remote scientific consultant job with no experience?
Yes, but remote entry-level roles are harder to land because employers expect you to work independently from day one with minimal supervision. Your strongest opening is through project-based work, research assistant roles, or freelance scientific writing that shows you can deliver without hand-holding. Remote-first firms and smaller biotech startups hire junior consultants more readily than large legacy organizations, especially when candidates can demonstrate clear, well-structured scientific communication.
Do you need a degree for remote scientific consultant jobs?
Usually, but the field and level of the role matter more than the degree itself. Many remote scientific consultant postings require a bachelor's or advanced degree in a relevant scientific discipline, though employers also weigh published work, demonstrated domain expertise, and a portfolio of past consulting or research deliverables. For specialized technical niches, proven skills and results can carry as much weight as formal credentials.
See All 6 Remote Scientific Consultant Jobs
Find roles that match your experience and apply in just a few clicks.
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