Scientific Associate Jobs
Scientific Associate jobs are open across pharmaceuticals, biotechnology, environmental testing, and academic research, with specializations in laboratory operations, quality control, and clinical research, from entry-level bench roles to senior associate positions. See the openings below and apply to the ones that match your experience.
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Showing 5 of 45+ 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
Scientific Associate Jobs by Experience Level
See All 45 Scientific Associate Jobs
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Find Scientific Associate JobsScientific Associate Job Market
Who's Hiring
Top Industries Hiring
- Biotechnology & Pharmaceuticals
What Employers Look For
The qualifications that appear most often in 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 Scientific Associate Job Search
Tailor your resume to lab techniques
List every instrument and assay you've operated by name, such as PCR, flow cytometry, or HPLC. Hiring managers scan for exact technique matches, so generic phrases like 'laboratory experience' won't get you past an applicant tracking system.
Apply early to roles that fit
Migrate Mate lists scientific associate openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Highlight GLP and GMP compliance experience
Many scientific associate postings in pharma and biotech require demonstrated knowledge of Good Laboratory Practice or Good Manufacturing Practice. If you've worked under either standard, name it explicitly in your resume's experience bullets, not just a skills list.
Target postings by research phase or sector
Filter openings by whether they sit in discovery research, clinical development, or quality assurance. Each phase demands a different skill emphasis, and aligning your application materials to the specific phase signals genuine role awareness to reviewers.
Prepare for a practical lab skills screen
Many scientific associate interviews include a bench exercise or technical walkthrough where you describe your protocol for a common procedure. Practice narrating your method out loud, including troubleshooting steps, before your first interview call.
Negotiate start date around project timelines
Scientific teams often hire to a specific study or batch cycle, so a delayed start can cost you the offer. If you need time between roles, ask early in the process whether the team has flexibility, rather than waiting until an offer is extended.
Scientific Associate Jobs: Frequently Asked Questions
Which companies are hiring the most scientific associates?
The companies hiring the most scientific associates right now include AbbVie, Precision Medicine, and Takeda Pharmaceuticals, with the largest share of openings in Massachusetts, California, and New Jersey, based on current listings on Migrate Mate as of November 2026. Pharmaceutical manufacturers, contract research organizations, and environmental testing labs consistently account for the highest volume of postings.
How many scientific associate jobs are remote?
About 75% of scientific associate openings are fully remote or hybrid as of November 2026, reflecting the hands-on nature of most bench roles. Data analysis, regulatory affairs support, and scientific writing positions within the broader associate category are the sub-areas most likely to offer remote or hybrid arrangements.
How do you become a scientific associate?
Start by earning a bachelor's degree in a life science discipline such as biology, chemistry, or biochemistry. Gain hands-on lab experience through undergraduate research, internships, or co-op programs. Build familiarity with at least one analytical instrument or assay platform relevant to your target industry, then apply to entry-level associate roles at biotech firms, contract labs, or academic research centers.
How do you get hired as a scientific associate with little experience?
Emphasize any coursework-based lab work, undergraduate thesis research, or volunteer research hours on your resume, since employers in this field know that new graduates build skills in academic settings. Earning an entry-level certification in lab safety or a specific technique, such as cell culture or qPCR, can also help your application stand out against candidates with similar academic backgrounds.
What does the scientific associate interview process look like?
Most scientific associate interviews begin with a phone or video screen focused on your background and familiarity with the lab environment. A hiring manager or senior scientist then conducts a technical interview covering your protocol knowledge and troubleshooting approach. Some employers add a practical component where you walk through a procedure or interpret sample data before a final conversation with the broader team.
Where can I find and apply to scientific associate jobs?
You can find and apply to scientific associate jobs on Migrate Mate, which lists current openings from employers across the United States. Search for roles that match your specialization and experience level, then apply directly to each listing that fits.
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