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How much do non bench biology jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for non bench biology in the United States is $22.62, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $24.04 per hour, depending on experience, location, and employer.

What is a non bench biology?

A Non Bench Biology job refers to roles in the biological sciences that do not primarily involve laboratory bench work or hands-on experiments. Instead, these positions focus on areas such as regulatory affairs, medical writing, project management, business development, patent law, or science policy. Professionals in these roles use their scientific background to support research, communicate findings, manage projects, or ensure compliance with regulations. These careers are ideal for those who want to leverage their biology expertise in settings beyond the traditional lab environment.

How does a non bench biology role contribute to cross-functional projects within a life sciences organization?

Non Bench Biology professionals often work at the intersection of scientific research and other business functions, such as regulatory affairs, project management, or data analysis. They play a crucial role in translating scientific findings into actionable strategies, ensuring compliance, or guiding project timelines. Collaboration with laboratory scientists, regulatory specialists, and commercial teams is common, requiring strong communication and organizational skills. This environment provides opportunities to develop a broad understanding of the industry and can offer clear pathways for career advancement into leadership or specialist roles.

What is the difference between Non Bench Biology vs Laboratory Technician?

AspectNon Bench BiologyLaboratory Technician
CredentialsBiology degree, certifications in research or data analysisAssociate's or Bachelor's in Science, lab safety certifications
Work EnvironmentOffice, research facilities, data analysis settingsLaboratories, clinical or research labs
Employer & IndustryResearch institutions, biotech companies, academiaHospitals, diagnostic labs, research facilities
Common TasksData interpretation, literature review, project planningSample preparation, equipment operation, data recording

Non Bench Biology professionals focus on research, data analysis, and planning without direct lab work, whereas Laboratory Technicians perform hands-on sample processing and operate lab equipment. Both roles are essential in scientific settings but differ mainly in their daily tasks and work environment.

What are the key skills and qualifications needed to thrive as a non bench biology professional, and why are they important?

To thrive as a Non-Bench Biology professional, you typically need a strong background in the biological sciences, analytical thinking, and often an advanced degree such as a Master's or PhD. Familiarity with data analysis software, scientific databases, and regulatory documentation systems is commonly required in roles such as regulatory affairs, medical writing, or clinical data management. Excellent communication, project management, and collaboration skills help you translate complex scientific information for diverse audiences and coordinate with cross-functional teams. These skills are important because they enable you to effectively support scientific initiatives beyond the laboratory, ensuring accuracy, compliance, and successful project outcomes.
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Non Bench Biology jobs near you
Infographic showing various Non Bench Biology job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 18% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $47,050 per year, or $22.6 per hour.

Senior Scientist I/II, Computational Biology & AI

AbbVie

North Chicago, IL • On-site

$109K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago

AbbVie rating

8.7

Company rating: 8.7 out of 10

Based on 100 frontline employees who took The Breakroom Quiz

14th of 86 rated pharmaceutical

Job description

Company Description
About AbbVie
AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.
Job Description
Role Overview
The Computational Toxicology group is advancing the use of data science, machine learning, and AI to improve the prediction and mechanistic understanding of drug safety across small molecules, biologics, and emerging therapeutic modalities.
This role is intentionally positioned at the intersection of biology and computation. We are seeking a scientist with a strong biological foundation who has developed sufficient computational expertise to independently translate scientific problems into fit-for-purpose analytical solutions.
The successful candidate will understand how biological data are generated, appreciate the experimental and mechanistic context underlying safety findings, and possess the technical judgment to select, design, and implement computational approaches that address real scientific needs. This individual will serve as a scientific bridge across disciplines, partnering closely with toxicologists, pathologists, pharmacologists, clinicians, and data scientists to transform complex scientific questions into actionable insights and scientific tools.
Success in this role requires scientific leadership, cross-functional influence, and the ability to drive projects from problem definition through execution and implementation.
Key Responsibilities
Scientific Problem Solving & Strategy
  • Partner with research scientists and safety experts to define critical scientific questions and identify opportunities where computational approaches can accelerate decision-making.
  • Translate complex biological and toxicological challenges into analytical strategies that are scientifically grounded, practical, and scalable.
  • Evaluate alternative computational approaches and select methods that best align with the biological context, available data, and business objectives.
  • Serve as a trusted scientific advisor, providing guidance on study design, data interpretation, and appropriate use of machine learning and AI technologies.

Cross-Functional Scientific Leadership
  • Act as a scientific translator between bench scientists, toxicologists, pathologists, clinicians, and computational teams.
  • Build strong partnerships across Development Sciences to understand workflows, pain points, and decision-making processes.
  • Lead multidisciplinary initiatives from concept through implementation, ensuring solutions are scientifically relevant and broadly adoptable.
  • Drive alignment among stakeholders with diverse technical backgrounds and priorities.

Computational Solution Development
  • Design, develop, and deploy predictive models, analytical workflows, and decision-support tools that address preclinical and translational safety challenges.
  • Integrate and analyze diverse data sources, including toxicology, pathology, pharmacology, genomics, chemistry, molecular profiling, and clinical datasets.
  • Develop reproducible computational pipelines and user-friendly applications that enable scientists without programming expertise to leverage advanced analytical methods.
  • Collaborate with computational and data engineering teams to ensure solutions are scalable, maintainable, and fit for long-term use.

Communication & Scientific Influence
  • Clearly communicate methods, findings, limitations, and recommendations to both technical and non-technical audiences.
  • Present scientific insights in a way that facilitates decision-making and advances program strategy.
  • Foster adoption of computational approaches by demonstrating scientific value and practical impact.

Qualifications
Required Qualifications
Senior Scientist I
  • Bachelor's Degree or equivalent education and typically 10 years of experience, Master's Degree or equivalent education and typically 8 years of experience, PhD and no experience necessary. PhD in Biology, Toxicology, Pharmacology, Computational Biology, Biochemistry, or a related life sciences discipline ideal.

Senior Scientist II
  • Bachelor's Degree or equivalent education and typically 12 years of experience, Master's Degree or equivalent education and typically 10 years of experience, PhD and typically 4 years of experience. PhD in Biology, Toxicology, Pharmacology, Computational Biology, Biochemistry, or a related life sciences discipline ideal.

Required Experience and Skills
  • Strong scientific foundation in biology, toxicology, pharmacology, or a related discipline with demonstrated ability to critically evaluate experimental data and biological mechanisms.
  • Ability to understand scientific objectives, identify key data and knowledge gaps, and translate problems into effective computational strategies.
  • Working proficiency in Python and/or R with the ability to develop reproducible analytical workflows and scientific software solutions.
  • Experience applying statistical, machine learning, and data analysis methods to biological, translational, or safety-related datasets.
  • Demonstrated ability to independently scope projects, prioritize competing needs, and execute complex initiatives across multiple functions.
  • Strong understanding of the strengths, limitations, and appropriate application of computational approaches, including classical statistics, machine learning, and AI.
  • Proven ability to communicate effectively with scientists from diverse disciplines and levels of computational expertise.
  • Experience leading or influencing cross-functional collaborations to deliver scientific outcomes

Preferred Qualifications
  • Experience working with toxicology, pathology, safety pharmacology, or clinical safety datasets.
  • Hands-on laboratory research experience providing direct understanding of experimental design, assay variability, and biological data generation.
  • Experience integrating multimodal datasets spanning molecular, cellular, tissue, animal, and clinical domains.
  • Familiarity with cloud computing, scalable data processing, and large biological data platforms.
  • Experience with modern AI methodologies, including large language models and generative AI applications in scientific research.
  • Experience developing visualization tools, dashboards, or user-facing applications for scientific audiences.

Additional Information
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
  • The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
  • We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
  • This job is eligible to participate in our long-term incentive programs.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law.
AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.
US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html
US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
https://www.abbvie.com/join-us/reasonable-accommodations.html

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About AbbVie

Sourced by ZipRecruiter

AbbVie's mission is to discover and deliver innovative medicines that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas: immunology, oncology, neuroscience, eye care, virology, women's health, and gastroenterology, in addition to products and services across its Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, YouTube, and LinkedIn.

Industry

Scientific research and development services

Company size

10,000+ Employees

Headquarters location

North Chicago, IL, US

Year founded

2013

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