Scientific Consultant Jobs
Scientific Consultant jobs are open across pharmaceuticals, biotechnology, environmental science, and research organizations, from entry-level analyst to principal and director, with specializations in regulatory affairs, clinical research, and environmental assessment. Scan the live roles below and apply to whichever ones fit.
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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 Consultant Jobs by Experience Level
See All 11 Scientific Consultant Jobs
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Find Scientific Consultant JobsScientific Consultant Job Market
Who's Hiring
What Employers Look For
The qualifications that appear most often in 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 Scientific Consultant Job Search
Tailor your resume to each project type
Scientific consultants are hired for specific project scopes, so your resume should lead with the problem you solved, the methodology you used, and the measurable outcome. Generic lab or research summaries won't stand out the way a project-framed bullet will.
Highlight cross-disciplinary client deliverables
Employers expect scientific consultants to translate technical findings for non-scientific stakeholders. Show at least one example on your resume where you converted complex data into a report, presentation, or recommendation a client or regulatory body acted on.
Apply early to roles that fit
Migrate Mate lists scientific consultant openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Filter openings by your regulatory domain
Scientific consultant roles in FDA-regulated industries require a very different background than those in environmental compliance or defense research. Narrow your search by keyword to your domain so you're not applying to roles where the regulatory context doesn't match your experience.
Prepare a case-study walkthrough for interviews
Most scientific consultant interviews include a scenario or case question where you're asked to scope a project, identify data gaps, or recommend an approach. Practice walking through a real past engagement from brief to deliverable, including where your initial assumptions changed.
Negotiate scope alongside compensation
Scientific consultant offers often come with project assignment terms, travel expectations, and billing rate structures. Before accepting, clarify whether your salary is tied to utilization targets and whether remote or on-site ratios are flexible, since those terms affect your day-to-day far more than base pay alone.
Scientific Consultant Jobs: Frequently Asked Questions
Which companies are hiring the most scientific consultants?
Zifo, Accenture, and Nanobiosym are hiring the most scientific consultants right now, with openings concentrated in Massachusetts, California, and Florida, based on current listings on Migrate Mate as of November 2026. Demand tends to be strongest at consulting firms that serve pharmaceutical, environmental, and government clients.
How many scientific consultant jobs are remote?
About 88% of scientific consultant openings are fully remote or hybrid as of November 2026, though the share varies significantly by specialization. Roles focused on data analysis, regulatory writing, and literature review tend to be the most remote-friendly, while positions requiring lab access, site inspections, or direct client engagement are more likely to require in-person work.
How do you become a scientific consultant?
Most scientific consultants start by building deep expertise in a specific scientific domain through graduate study or several years of applied research or industry work. From there, the path typically involves developing client-facing skills through internal advisory roles, moving to a consulting firm, or transitioning independently. Building a portfolio of project outcomes, not just credentials, is what makes candidates competitive.
Can you get hired as a scientific consultant with little experience?
Entry-level scientific consultant roles do exist, particularly at larger firms that run structured analyst programs, but they typically require a relevant graduate degree and demonstrated research or technical project work. Internships, thesis research, and published work all substitute for direct consulting experience. Targeting firms with explicit junior or associate tiers gives you the clearest entry point.
What does the scientific consultant interview process look like?
The process usually begins with a recruiter or hiring manager screen focused on your scientific background and project experience. That's followed by one or two technical rounds where you may be asked to walk through past work or respond to a case scenario. Final rounds often include a panel interview with senior consultants or clients who assess how you communicate findings and handle ambiguity.
Where can I find and apply to scientific consultant jobs?
You can find and apply to scientific consultant jobs on Migrate Mate, which lists current openings from employers across the United States. Search for roles that match your scientific domain and experience level, then apply directly to each listing that fits your background.
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Find roles that match your experience and apply in just a few clicks.
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