Remote Scientific Associate Jobs
Remote scientific associate jobs are open across the U.S. in sectors like biotech, pharmaceuticals, clinical research, and environmental science, with opportunities at remote-first labs, CROs, and distributed research teams. Employers hiring remotely right now include Precision Medicine, BGBx, and Zifo. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 9+ Remote Scientific Associate 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
See All 9 Remote Scientific Associate Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsRemote Scientific Associate Job Market
Who's Hiring
What Employers Look For
The qualifications that appear most often in remote scientific associate jobs.
- Bachelor's degree in biology, chemistry, biochemistry, or a closely related life science field
- Hands-on experience with standard laboratory techniques such as PCR, cell culture, or spectroscopy
- Familiarity with Good Laboratory Practice or Good Manufacturing Practice compliance standards
- Proficiency with laboratory information management systems and data recording software
- Experience preparing detailed experimental protocols, lab notebooks, and technical reports
- Ability to operate and perform basic maintenance on analytical instruments including HPLC or mass spectrometers
Tips for Your Remote Scientific Associate Job Search
Show your async communication skills upfront
Remote scientific associates relay complex findings entirely through written reports and messages. Include writing samples, documented protocols, or excerpts from research summaries in your application materials so hiring managers can see you communicate data clearly without in-person context.
Highlight remote-ready lab data tools
Remote employers prioritize candidates who already use electronic lab notebooks, cloud-based data platforms, and collaborative project management tools. Name the specific software you've worked with in your resume so remote hiring teams can quickly confirm you're operational from day one.
Apply early to remote roles that fit
Migrate Mate lists remote scientific associate openings from across the U.S. in one place, so you can find roles that match your background and apply directly without sorting through unrelated postings.
Prepare for remote interview technical screens
Remote scientific associate interviews often include an asynchronous task, like analyzing a dataset or reviewing a protocol draft, before you ever speak to a hiring manager. Practice working through a scientific problem independently and presenting your reasoning in writing.
Remote Scientific Associate Jobs: Frequently Asked Questions
How do I get a remote scientific associate job?
Remote scientific associate roles go to candidates who can demonstrate self-direction and clear written communication from day one. Remote employers screen for lab data management skills, proficiency with tools like electronic lab notebooks and collaborative platforms, and the ability to document work precisely without in-person oversight. A portfolio of past research contributions, published reports, or documented protocols gives you a concrete edge over candidates with similar credentials.
Which companies hire remote scientific associates?
Companies hiring remote scientific associates right now include Precision Medicine, BGBx, and Zifo, based on current remote listings on Migrate Mate as of November 2026. Remote-first CROs, biotech firms, and environmental consulting companies make up the largest share of employers offering distributed scientific associate roles.
Can you get a remote scientific associate job with no experience?
Yes, but remote entry-level roles are harder to land because employers expect you to work independently without on-site mentorship. Remote-first biotech startups and CROs are more likely to consider entry-level candidates than large established labs. Showing documented coursework projects, volunteer research contributions, or relevant certifications signals you can handle structured scientific work without daily supervision.
Do you need a degree for remote scientific associate jobs?
Usually, but the field that matters as much as the credential level. Most remote employers expect at least a bachelor's in a life science, chemistry, or environmental discipline. Some roles weigh hands-on research experience, demonstrated data analysis skills, and proficiency with scientific software alongside or instead of advanced degrees, especially at smaller remote-first companies.
See All 9 Remote Scientific Associate Jobs
Find roles that match your experience and apply in just a few clicks.
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