1. What is the average salary of a Scientist II - Biotech?
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.
2. Where can a Scientist II - Biotech earn the most?
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.
3. What is the highest pay for Scientist II - Biotech?
The highest pay for Scientist II - Biotech is $173,140.
4. What is the lowest pay for Scientist II - Biotech?
The lowest pay for Scientist II - Biotech is $114,942.
5. What are the responsibilities of Scientist II - Biotech?
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.
6. What are the skills of Scientist II - Biotech
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.
1.)
Analysis: Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it.
2.)
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.
3.)
Cell Biology: Utilizing techniques to study cell structures and functions for further research on human anatomy, physiology, and medications.