Research Scientist (Industry)
Impact: Innovation
Conducts scientific research and experiments within a corporate setting, focusing on developing new products, processes, or technologies. Applies advanced scientific principles and methodologies to solve complex problems and drive innovation.
In their words
As a Research Scientist in industry, I find the work incredibly stimulating, constantly pushing the boundaries of knowledge to create tangible impact. The collaborative environment, coupled with the freedom to explore novel ideas, makes every day exciting. However, the pressure to deliver results and secure funding can be intense, requiring strong resilience and adaptability.
What the day looks like
- People interaction
- Moderate
- Team vs solo
- 60% Solo / 40% Team
- Client facing
- Rarely
- Impact visibility
- High
- Travel
- Occasional travel for conferences or collaborations
- Schedule flexibility
- Flexible
- Remote work
- Hybrid
- Typical work hours
- 45-55 hours/week
- Stress level
- Moderate
At a glance
- Median salary
- $130,000
- Entry-level
- $80,000 - $100,000
- Senior
- $180,000+
- Growth by 2033
- Projected to grow faster than average, driven by innovation in technology, healthcare, and other scientific fields.
- Demand
- Growing
- Freelance potential
- Low
- Salary growth potential
- High, 100-125% growth from entry to senior
- Typical student debt
- $80,000 - $150,000
Skills you'll use
Hard skills
- Experimental Design
- Data Analysis
- Statistical Modeling
- Scientific Writing
- Laboratory Techniques
- Machine Learning
- Bioinformatics
Soft skills
- Critical Thinking
- Problem Solving
- Communication
- Attention to Detail
- Adaptability
Technical complexity: Very High
Tools you'll work with
Core tools
- Python/R (software): Data analysis, statistical modeling, and scientific computing
- Laboratory Equipment (hardware): Conducting experiments and collecting data
Common tools
- Jupyter Notebooks (platform): Interactive data science and research documentation
- Statistical Software (e.g., SAS, SPSS) (software): Advanced statistical analysis
- Git/GitHub (platform): Version control for code and research projects
How to get there
- Minimum education
- Doctoral or Professional Degree
- Licensing
- No
- Years to mid-career
- 5
- Years to senior
- 10
- Career switching
- Moderate
Where this career leads
How people arrive here
- Postdoctoral Researcher: Transitioning from academic research to an industry setting, applying specialized knowledge to commercial problems.
- Data Scientist: Leveraging strong analytical and statistical skills developed in research for business intelligence and predictive modeling.
Where you can go from here
- Product Development Scientist: Moving from fundamental research to applying scientific principles directly to product creation and improvement.
- R&D Manager: Advancing into leadership, overseeing research teams and strategic direction of scientific projects.
- Technical Consultant: Utilizing deep scientific expertise to advise clients on complex technical challenges and solutions.
Typical progression
- Progresses from Research Scientist to Senior Research Scientist, Principal Scientist, and potentially Research Director or Head of R&D.
Future outlook
- Automation probability
- Tasks involving routine data collection and initial analysis may be automated, but complex experimental design and interpretation require human expertise.
- AI disruption risk
- Moderate
- Demand trend
- Growing
How people feel about it
- Overall satisfaction
- 7.8/10
- Meaning
- 8.2/10
- Work-life balance
- 6.5/10
- Prestige
- 8.5/10
- Social perception
- High
Find your community
Professional organisations
- American Association for the Advancement of Science (AAAS): A leading international non-profit organization dedicated to advancing science around the world.
Podcasts and media
- Nature Research Journals: Publisher of leading scientific journals, offering news, research, and commentary across various scientific disciplines.
Online communities
- ResearchGate: A social networking site for scientists and researchers to share papers, ask and answer questions, and find collaborators.
- LinkedIn Groups: Industry Research Scientists: Professional networking groups for research scientists in various industries to connect and share insights.