The salary of a Scientist II - Biotech in the United States varies depending on several factors, including experience, location, education level, marketing trend and company sizes.
As of March 01, 2025, the average annual salary for a Scientist II - Biotech in the United States is $132,803. Salary.com reports that pay typically ranges from $123,454 to $153,917, with most professionals earning between $114,942 and $173,140.
| Annual Salary |
Monthly Pay |
Weekly Pay |
Hourly Wage |
|
| 75th Percentile | $153,917 | $12,826 | $2,960 | $74 |
| Average | $132,803 | $11,067 | $2,554 | $64 |
| 25th Percentile | $123,454 | $10,288 | $2,374 | $59 |
An entry-level Scientist II - Biotech with less than 1 year of experience earns about $128,416. With 1-2 years of experience, the average salary increases to $128,693. For 2-4 years of experience, the pay typically rises to $130,490. Senior-level professionals with 5-8 years of experience earn around $139,255, and those with over 8 years of experience can expect an average of $142,374.
| Levels | Salary |
|---|---|
| Entry Level Scientist II - Biotech | $128,416 |
| Intermediate Level Scientist II - Biotech | $128,693 |
| Senior Level Scientist II - Biotech | $130,490 |
| Specialist Level Scientist II - Biotech | $139,255 |
| Expert Level Scientist II - Biotech | $142,374 |
| Entry Level | 3% |
| Mid Level | 3% |
| Senior Level | 2% |
| Top Level | 5% |
| Experienced | 7% |
Salaries in the United States differ widely between states due to factors like cost of living, local economies, and industry presence.
What Am I Worth?
Salaries in the United States can vary greatly between cities due to factors like cost of living, local economies, and industry presence.
As of March 01, 2025, our research reveals a significant shift in Scientist II - Biotech compensation over the past six years. For example, the median salary increased from $90,818 in 2023 to approximately $89,690 in 2024. (For a detailed analysis of Scientist II - Biotech salary trends, click here.)
Key factors like location, experience, industry demand, and economic growth significantly influence salary variations, making them important to consider.
Salary.com job board provides millions of Scientist II - Biotech information for you to search for. Click on search button below to see Scientist II - Biotech job openings or enter a new job title here.
Here are companies hiring for Scientist II - Biotech and their salaries, click below for more details.
| Core Compensation | ||||
| Core Compensation | Median | % of Total | ||
| Base Salary | $132,803 | 69.5% | ||
| Bonus | $5,676 | 3.0% | ||
| Value of Benefits | ||||
| Core Compensation | Median | % of Total | ||
| Social Security | $10,594 | 5.5% | ||
| 401K/403B | $5,539 | 2.9% | ||
| Disability | $2,770 | 1.4% | ||
| Healthcare | $6,374 | 3.3% | ||
| Pension | $7,616 | 4.0% | ||
| Time Off | $19,707 | 10.3% | ||
| Total Compensation | $191,078 | 100% | ||
| Degree Level | % of user with this level of education |
|---|---|
| High School | 0.2% |
| Bachelors | 11.2% |
| Masters | 9.9% |
| Doctorate | 78.7% |
What Am I Worth?
The average annual salary of Scientist II - Biotech is $132,803. In case you are finding an easy salary calculator, the average hourly pay of Scientist II - Biotech is $64; the average weekly pay of Scientist II - Biotech is $2,554; the average monthly pay of Scientist II - Biotech is $11,067.
A Scientist II - Biotech's earning potential can vary widely depending on several factors, including location, industry, experience, education, and the specific employer. According to the latest salary data by Salary.com, a Scientist II - Biotech earns the most in San Jose, CA, where the annual salary of a Scientist II - Biotech is $166,667.
The highest pay for Scientist II - Biotech is $173,140.
The lowest pay for Scientist II - Biotech is $114,942.
Scientist II - Biotech develop and conduct basic and applied research projects. Utilize advanced technologies to study biological, molecular and chemical processes. Being a Scientist II - Biotech synthesize and analyze DNA, proteins and other molecules to develop new drugs, medical protocols, and products. Prepare technical papers and reports on findings. Additionally, Scientist II - Biotech requires a PhD in their field of specialty. Typically reports to a manager or head of a unit/department. To be a Scientist II - Biotech typically requires 2 to 4 years of related experience. Gains exposure to some of the complex tasks within the job function. Occasionally directed in several aspects of the work.
Specify the abilities and skills that a person needs in order to carry out the specified job duties. Each competency has five to ten behavioral assertions that can be observed, each with a corresponding performance level (from one to five) that is required for a particular job.
Analysis: Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it.
Data Analysis: Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. In today's business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively. Data mining is a particular data analysis technique that focuses on modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. In statistical applications, data analysis can be divided into descriptive statistics, exploratory data analysis (EDA), and confirmatory data analysis (CDA). EDA focuses on discovering new features in the data while CDA focuses on confirming or falsifying existing hypotheses. Predictive analytics focuses on application of statistical models for predictive forecasting or classification, while text analytics applies statistical, linguistic, and structural techniques to extract and classify information from textual sources, a species of unstructured data. All of the above are varieties of data analysis.
Cell Biology: Utilizing techniques to study cell structures and functions for further research on human anatomy, physiology, and medications.
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We offer detailed salary information across multiple percentiles for your reference. (Click here to learn Why the Salary Midpoint Formula Is Crucial for Achieving Pay Equity.)
With the most extensive online, real-time compensation data available, Salary.com helps you pinpoint your exact pay target.
