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Science Without Degree Jobs (NOW HIRING)

Powell Industries

Lead R&D Engineer

Houston, TX

$97K - $128K/yr

Minimum 0-4 years of experience in an Engineering role. * 10 yrs with degree. * 20 yrs without ... Advanced knowledge of ANSI Y 14.5. * Advanced knowledge of materials science. * Advanced knowledge ...

Fall River Public Schools

Science Teacher

Fall River, MA

$49K - $63K/yr

Bachelor's Degree with major or minor in Science preferred. * Basic Computer Competencies REPORTS ... We consider applicants for all positions without regard to race, color, religion, national origin ...

Fall River Public Schools

Science Teacher

Fall River, MA · On-site

$49K - $63K/yr

Bachelor's Degree with major or minor in Science preferred. * Basic Computer Competencies REPORTS ... We consider applicants for all positions without regard to race, color, religion, national origin ...

TalentFish

Be Seen First

Electrical Testing Laboratory Technician

Northbrook, IL · On-site

$24 - $26/hr

... EMC testing experience (without degree). * Associate's or Bachelor's degree in a related scientific or technical field preferred. * Previous laboratory technician experience preferred.

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$48.4K

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How much do science without degree jobs pay per year?

As of Jun 8, 2026, the average yearly pay for science without degree in the United States is $48,391.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,500.00 and $52,000.00 per year, depending on experience, location, and employer.

What is the difference between Science Without Degree vs Laboratory Technician?

AspectScience Without DegreeLaboratory Technician
Required CredentialsOften no formal degree, relies on self-education or certificationsTypically requires a diploma or associate degree in laboratory sciences
Work EnvironmentIndependent, freelance, or online platformsLaboratory settings, hospitals, research facilities
Industry UsageUsed in informal consulting, online content creationCommonly employed in healthcare, research, and diagnostics

Science Without Degree often involves self-taught knowledge and informal work, while Laboratory Technicians usually hold formal certifications and work in structured lab environments. Both roles serve scientific purposes but differ significantly in credentials and work settings.

More about Science Without Degree jobs
What cities are hiring for Science Without Degree jobs? Cities with the most Science Without Degree job openings:
What states have the most Science Without Degree jobs? States with the most job openings for Science Without Degree jobs include:
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Science Without Degree jobs near you
Infographic showing various Science Without Degree job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $48,391 per year, or $23.3 per hour.
Senior Research Scientist I/II, Computational Biology & Toxicology

Senior Research Scientist I/II, Computational Biology & Toxicology

AbbVie

North Chicago, IL • On-site

$109K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 26 days ago

AbbVie rating

8.8

Company rating: 8.8 out of 10

Based on 95 frontline employees who took The Breakroom Quiz

11th of 71 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
The Computational Toxicology group is dedicated to advancing in-silico approaches that improve the prediction and mechanistic understanding of drug safety across small molecules, biologics, and emerging modalities. This role sits at the intersection of biological science and computational innovation - and that intersection is intentional.
We are looking for a scientist with deep domain knowledge in biology who has also developed computational skills to independently design, build, and deploy data-driven solutions. The ideal candidate can stand at the bench conceptually, understand what drives experimental variability, and architect computational solutions that reflect biological reality.
The role focuses on integrating diverse data sources - including pharmacology, toxicology, genomics, pathology, chemistry, and clinical datasets - into predictive and interpretable models. You will work directly with research scientists to understand their workflows, co-design solutions, and build tools that make computational capabilities accessible to generalist scientists across Development Sciences.
Responsibilities
  • Serve as a scientific translator between wet-lab researchers and computational infrastructure - understanding experimental design, data provenance, and biological context well enough to ensure fit-for-purpose solutions
  • Engage directly with scientists to understand existing laboratory and analytical workflows, identify bottlenecks, and co-design computational solutions that are practical, reproducible, and scalable.
  • Develop user-friendly tools, pipelines, and applications designed for scientists without a computational background, enabling broader Development Sciences teams to leverage computational insights
  • Partner with research scientists, data scientists, and safety experts to design, implement, and validate machine learning/AI strategies that address key discovery and preclinical safety questions.
  • Curate, harmonize, and integrate multi-modal datasets including chemical, genomic, molecular, in vitro, pathology, and clinical sources, into scalable workflows that support safety insight generation and risk prediction
  • Translate computational findings into predictive models, analytical tools, and user-friendly applications that support decision-making in drug discovery and development.

Clearly communicate methods and results to multidisciplinary stakeholders, tailoring messages for both technical and non-technical audiences
Qualifications
  • Senior Scientist I Qualifications: Bachelor's Degree and typically 10 years of experience OR Master's Degree and typically 8 years of experience, OR PhD and no experience necessary.
  • Senior Scientist II Qualifications: Bachelor's Degree and typically 12 years of experience OR Master's Degree and typically 10 years of experience, OR PhD and 4 years of experience
  • PhD in Computational Biology, Biology, Pharmacology, Biochemistry, or a related life science field, with meaningful exposure to computational methods through coursework, dissertation research, or applied experience. Postdoctoral or industry experience preferred
  • A genuine scientific foundation in biology - whether through formal training, research experience, or applied industry work - sufficient to critically evaluate experimental data, identify biological confounders, and contextualize computational outputs in mechanistic terms.
  • Scientific coding fluency in Python (preferred) or R. We do not expect a software engineering background - we expect the ability to write clean, functional, reproducible code in service of scientific questions.
  • Working knowledge of machine learning applied to biological or safety datasets, with the ability to select and justify methods based on scientific context, not just algorithmic performance.
  • Strong foundation in statistical and applied analytical methods, including hypothesis testing, Bayesian inference, regression, multivariate, and time-series analyses.
  • Expertise in advanced machine learning, including deep learning, supervised/unsupervised clustering, and classification algorithms (e.g., SVMs, random forests, gradient boosting).
  • Demonstrated ability to communicate computational approaches and results to non-computational scientists, including presenting analytical strategies and translating findings into actionable scientific insights.
  • Preferred
  • Demonstrated experience working with pathology and/or safety datasets; familiarity with integrating histopathology, clinical pathology, or safety study data into computational workflows.
  • Hands-on wet lab experience (e.g., experimental design, assay development, or mechanistic biology studies) that informs a deeper understanding of data generation, variability, and biological constraints.
  • Experience with scalable computing (parallelization, cloud platforms) and database querying for large biological datasets.
  • Experience with generative AI (GANs, VAEs) or large language models (LLMs) in a scientific context.
  • Experience in data visualization and interface development, with an emphasis on presenting biological and safety-related data intuitively for non-technical users.

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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