Intelligence Brief Sciences Sector
Biotechnology
Bachelor's · 4 years
C-
Scorecard
- $80,000
- Median salary
- 7%
- Projected growth
- 42/100
- Difficulty
- 4
- Career paths
AI Resilience 62
Overall Score 48
CollegeRanker Degree Outlook Score™
44
out of 100 · C
Mixed Outlook
Composite of earnings, projected growth, demand gap, AI resilience, career breadth, and remote flexibility — CollegeRanker's proprietary degree outlook model.
Supply vs Demand
BalancedMarket Demand48
Graduate Supply52
Supply and demand roughly aligned — projected 7% occupational growth (faster than average).
Salary Trajectory
~1.8%/yrModeled from BLS median wage and occupational growth. Dashed bars are forecast. Illustrative, not a guarantee.
Where Graduates Work
Common Employers
- Pfizer
- Merck
- Genentech
- National Labs
- Thermo Fisher
- Regeneron
Representative employers that commonly hire Sciences graduates — illustrative of where graduates concentrate, not a guarantee.
Industry Mix
- Pharma & Biotech 33%
- Research & Labs 24%
- Healthcare 16%
- Government 14%
- Other 13%
Estimated distribution of Sciences graduates across hiring industries.
Executive Summary
- Biotechnology scores 48/100 (C-), reflecting a challenging profile among bachelor's programs.
- Median salary of $80,000 reflects moderate earning potential.
- Projected growth of 7% is below the national average.
- AI resilience score of 62 indicates moderate disruption risk across associated careers.
Biotechnology scores 48/100 — C-. The strongest dimension is salary (40/100), followed by remote potential (35/100). The biggest challenge: growth (25/100).
Research Insights
- At Risk Future-proof
Biotechnology faces headwinds for long-term value (46/100). Projected growth of 7% is below average. Graduates should develop skills that complement, not compete with, AI-driven workflows.
Score 46 /100 - Limited ROI
Biotechnology offers a challenging ROI profile (43/100). Median earnings of $80,000 are below many peers.
Score 43 /100 - Narrow Career Breadth
Biotechnology leads to a focused set of career paths (43/100). With 4 primary career trajectories, graduates benefit from clear direction but have less flexibility to pivot.
Score 43 /100
Decision Intelligence
Biotechnology presents a more complex risk/reward profile. Outcomes are less predictable and depend heavily on specific career targeting and graduate school plans.
Who Benefits Most
Students who value career stability and meet the academic prerequisites. Students who pair this degree with internships and networking outperform peers. The moderate AI risk makes it important to specialize.
Who Should Think Twice
Individuals with a strong aversion to laboratory work or those seeking quick job placement may find this degree unsatisfying. Additionally, students expecting immediate high salaries without further specialization or experience might be disappointed.
Student Archetypes
- The Aspiring Scientist Recommended
This student is passionate about biology and eager to contribute to scientific advancements. They thrive in laboratory settings and are committed to continuous learning.
Economic Importance
Biotechnology is crucial for industries such as pharmaceuticals, agriculture, and healthcare, where innovation in genetic and molecular solutions drives advancements. The market values this degree for its potential to address global challenges like disease, food security, and environmental sustainability.
Scorecard Analysis
Our proprietary scorecard evaluates degrees across five dimensions from BLS wage and growth data, O*NET work context, and standard education requirements.
Moderate earning potential
Below-average growth
Moderate barrier
Primarily in-person
Less competitive
Difficulty Score
42/100
Composite reflecting the combined demands of salary, growth, barrier, remote compatibility, and competition.
AI Resilience Assessment
Automation risk for careers linked to this degree.
Biotechnology faces moderate AI disruption risk (62/100). While AI will automate routine components within many associated careers, core responsibilities still require human oversight and strategic thinking. Upskilling in AI collaboration tools is recommended.
- Domain expertise from this degree provides some protection against full automation.
- AI can handle routine reporting, data aggregation, and first-pass analysis in many associated careers.
- Risk factor: entry-level roles in fields linked to this degree may face headcount reduction as AI handles more data processing.
Intelligence Deep Dive
-
Reality Check
Many promotional materials emphasize the potential of biotechnology but often overlook the competitive nature of the field. Graduates may face challenges in securing their desired roles, and ongoing education is often necessary to stay relevant.
-
Hiring Market Signal
Currently, the hiring market for biotechnology graduates is relatively strong, with many companies actively seeking talent to drive innovation. Job seekers should focus on developing niche skills and gaining relevant experience to stand out in a competitive landscape.
-
Risk Factors
- High student debt relative to entry-level salaries
- Potential job market saturation in certain geographic areas
- Rapid technological changes leading to automation
- Fluctuations in funding for biotech research
- Competition for roles in prestigious organizations
-
ROI Timeline
Typically, graduates can expect to recoup their investment within 5 to 7 years, depending on starting salaries and personal financial situations. Factors such as debt load and the ability to secure higher-paying positions post-graduation can significantly affect this timeline.
What You'll Study
The curriculum provides a robust foundation in molecular biology and genetic engineering, preparing graduates for hands-on roles in research and development. This combination of theoretical knowledge and practical lab techniques is essential for tackling complex biological challenges.
The academic experience in a Biotechnology program typically includes foundational courses in biology, chemistry, and math, followed by specialized classes in molecular biology, genetic engineering, and bioprocessing. Students will often participate in laboratory work, which is integral to the curriculum, allowing them to apply theoretical concepts in real-world scenarios. Projects and internships are common, providing opportunities to gain hands-on experience in research settings or biomanufacturing facilities, which can be both challenging and rewarding.
As students advance, they may tackle complex topics such as bioinformatics or regulatory affairs, preparing them for the diverse roles they could fill in the industry. Group projects and lab work can be demanding, requiring a strong commitment to detail and collaboration.
Typical Curriculum
- Molecular Biology
- Genetic Engineering
- Bioinformatics
- Cell Culture
- Bioprocessing
- Regulatory Science
- Quality Assurance
- Lab Techniques
Career Pipeline
From entry to executive.
Entry-Level
- Biotechnology Research Assistant
- Quality Control Technician
- Laboratory Technician
- Biomanufacturing Associate
- Regulatory Affairs Assistant
Mid-Career
- Biotechnology Research Scientist
- Quality Assurance Specialist
- Biomanufacturing Technician
- Regulatory Affairs Specialist
- Product Development Scientist
Advanced
- Biotechnology Manager
- Director of Quality Assurance
- Senior Regulatory Affairs Manager
Pipeline Insight
Graduates typically progress from entry-level roles focused on technical skills to mid-career positions involving project management and strategic decision-making. Advancement often hinges on gaining specialized skills and experience, as well as networking within the field.
Career Outcomes
Graduates with a Bachelor's in Biotechnology can pursue various career paths, including roles as Biotechnology Research Scientists, Quality Assurance Specialists, Biomanufacturing Technicians, and Regulatory Affairs professionals. With a projected job growth rate of 7%, the demand for skilled biotechnologists is being driven by advancements in healthcare, agriculture, and environmental management. The median salary for these positions hovers around $80,000, with potential for growth as experience and expertise increase.
- Biotechnology Research Scientist
- Quality Assurance Specialist
- Biomanufacturing Technician
- Regulatory Affairs
Compensation Context
The median salary of $80,000 reflects the specialized skills required in biotechnology, where demand for knowledgeable professionals often outpaces supply. Compensation can vary significantly based on location, industry sector, and individual credentials, with higher salaries prevalent in regions with a strong biotech presence.
Alternative Routes
Similar or competing pathways students consider alongside Biotechnology:
- Biomedical Engineering
- Molecular Biology
- Bioinformatics
- Laboratory Science
- Professional certifications in Clinical Research
Getting In & Timeline
Typical time to complete: 4 years full-time
- High school diploma or equivalent
- Strong background in science and math
- Standardized test scores (SAT/ACT) may be required by some programs
Advice
Focus on gaining lab experience and internships during your studies to enhance your resume and practical skills.
Is This Degree Worth It?
This degree can pay off significantly for students who secure positions in high-demand sectors and continue to advance their education or skills. However, those who graduate with high debt and struggle to find employment in a saturated job market may find the ROI lacking.
Schools With Strong Outcomes in Sciences
Ranked by median graduate earnings 10 years after enrollment. Schools grouped into tiers by outcome level.
Top Tier2schools
Strong Outcomes2schools
Explore More Degrees
Methodology & Data Sources
Every score, grade, and verdict on this page is built from a consistent framework designed to answer one question: what is the expected return on this degree?
Scorecard dimensions. We evaluate programs on five proprietary axes — Salary, Job Growth, Education Barrier, Remote/Online Compatibility, and Competition — each normalized to a 0–100 scale. The Overall Score is a weighted composite: salary (30%), job growth (20%), AI resilience (15%), barrier proximity (15%), competition inverse (10%), and career breadth (10%). Letter grades follow a standard scale from A+ (95+) down to F.
AI Resilience. Measures automation risk across the degree's associated career pathways. Each degree receives a category-level baseline adjusted upward for AI-adjacent fields (e.g., machine learning, computer science) and downward for fields with higher routine-task exposure. The score represents the degree's resistance to labor-market disruption, not a prediction of elimination.
Verdict scores. Future-Proof, ROI, and Career Breadth are secondary composites weighting AI resilience, growth, salary, barrier, and career count to answer specific decision questions: is this career durable (Future-Proof), financially worthwhile (ROI), and flexible (Career Breadth)?
Data sources. Salary and growth figures are drawn from the Bureau of Labor Statistics Occupational Employment and Wage Statistics (O*NET) and the Occupational Outlook Handbook (2023–2033 projections). Education requirement data and work context scores come from O*NET 28.2. School-level earnings data is sourced from the Opportunity Insights Economic Tracker (median earnings 10 years after enrollment, based on federal tax records). Program rankings and school lists reflect CollegeRanker's proprietary classification and filtering methodology.
This page is built on disclosed, reproducible data. No affiliate bias, no survey-based rankings, no undisclosed weighting.
Data Behind This Page Updated 2025
Source datasets
- U.S. Bureau of Labor Statistics — Occupational Employment & Wage Statistics (OEWS)
- U.S. Bureau of Labor Statistics — Occupational Outlook Handbook, 2023–2033 projections
- O*NET 28.2 — education requirements and work-context data
- Opportunity Insights — earnings 10 years after enrollment (federal tax records)
Methodology
Degrees are scored on five normalized axes — salary (30%), job growth (20%), AI resilience (15%), education barrier (15%), and competition (10%), plus career breadth (10%) — each on a 0–100 scale.
See the full methodology and weights →Confidence notes
- Salary and growth figures come from federal Bureau of Labor Statistics data — administrative wage records and official projections, not surveys.
- AI-resilience scores are computed from O*NET task and work-context data, applied consistently across every program.
- Every measure is normalized to a fixed 0–100 scale, so degrees are directly comparable.
Limitations
- BLS wage data reflect national medians; actual pay varies widely by region, employer, and experience.
- Job growth is a 2023–2033 projection, not a guarantee — labor markets shift with technology and the economy.
- AI-resilience is a directional estimate of automation exposure, not a prediction about any specific role.
- Figures describe typical outcomes for the field, not a promise for any individual graduate.
