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What does a principal statistical scientist do?

Updated January 8, 2025
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Principal statistical scientist responsibilities

Here are examples of responsibilities from real principal statistical scientist resumes:

  • Manage pediatric dose development project, technology transfer project and alternate API supplier qualification project on budget and on schedule
  • Conduct research and analyze data to identify potential biomarkers and provide input for selection of candidates for non-clinical studies development.
  • Facilitate customer acceptance of demand forecast by developing visualization processes, tutoring clients in methodology, and providing detail walk-through examples.

Principal statistical scientist skills and personality traits

We calculated that 47% of Principal Statistical Scientists are proficient in Clinical Trials, Data Analysis, and Experimental Design. They’re also known for soft skills such as Analytical skills, Math skills, and Problem-solving skills.

We break down the percentage of Principal Statistical Scientists that have these skills listed on their resume here:

  • Clinical Trials, 47%

    Designed and led the project aimed at development of bio-tracers for non-invasive monitoring of pathological process in clinical trials and diagnostics.

  • Data Analysis, 42%

    Conducted research, data analysis, database implementation, and management of historical records for numerous projects directly improving corporate efficiency.

  • Experimental Design, 7%

    Mentored colleagues in general laboratory techniques including experimental design and interpretation, aseptic technique, cell culture, and western blotting.

  • Statistical Analyses, 4%

    Provide statistical analyses for Strategic Decision Making, Forecasting, and Due Diligence review of clinical and non-clinical data from potential acquisitions

  • Internal Training, 0%

    Perform internal training, orientate and induct new staff, and perform role of mentor.

"clinical trials," "data analysis," and "experimental design" are among the most common skills that principal statistical scientists use at work. You can find even more principal statistical scientist responsibilities below, including:

Analytical skills. To carry out their duties, the most important skill for a principal statistical scientist to have is analytical skills. Their role and responsibilities require that "mathematicians and statisticians use mathematical techniques and models to evaluate large amounts of data." Principal statistical scientists often use analytical skills in their day-to-day job, as shown by this real resume: "provided technical assistance on research, statistical analysis, databases, and information systems, to other state agencies. "

Math skills. Another essential skill to perform principal statistical scientist duties is math skills. Principal statistical scientists responsibilities require that "mathematicians and statisticians use statistics, calculus, and linear algebra to develop their models and analyses." Principal statistical scientists also use math skills in their role according to a real resume snippet: "performed quantitative real-time pcr to test neurovirulence potential of wyeth's cold-adapted influenza vaccine (caiv) for european registration. "

Problem-solving skills. principal statistical scientists are also known for problem-solving skills, which are critical to their duties. You can see how this skill relates to principal statistical scientist responsibilities, because "mathematicians and statisticians must devise solutions to problems encountered in science, engineering, and other fields." A principal statistical scientist resume example shows how problem-solving skills is used in the workplace: "examined cmc section of anda submitted for an antihistamine oral solution. "

Communication skills. principal statistical scientist responsibilities often require "communication skills." The duties that rely on this skill are shown by the fact that "mathematicians and statisticians must be able to explain technical concepts and solutions in nontechnical ways." This resume example shows what principal statistical scientists do with communication skills on a typical day: "coordinate biopsy and clinical studies to support technical claims substantiation and communication. "

See the full list of principal statistical scientist skills

Compare different principal statistical scientists

Principal statistical scientist vs. Associate professor of biostatistics

A scientist is responsible for researching and analyzing the nature and complexities of the physical world to identify discoveries that would improve people's lives and ignite scientific knowledge for society. Scientists' duties differ in their different areas of expertise, but all of them must have a broad comprehension of scientific disciplines and methods to support their experiments and investigations. They collect the sample for their research, record findings, create research proposals, and release publications. A scientist must know how to utilize laboratory equipment to support the study and drive results efficiently and accurately.

We looked at the average principal statistical scientist salary and compared it with the wages of an associate professor of biostatistics. Generally speaking, associate professors of biostatistics are paid $37,926 lower than principal statistical scientists per year.While their salaries may differ, the common ground between principal statistical scientists and associate professors of biostatistics are a few of the skills required in each roleacirc;euro;trade;s responsibilities. In both careers, employee duties involve skills like sas, statistical packages, and nih.

There are some key differences in the responsibilities of each position. For example, principal statistical scientist responsibilities require skills like "project budget," "clinical trials," "data analysis," and "resource forecasts." Meanwhile a typical associate professor of biostatistics has skills in areas such as "mph," "health research," "chronic disease," and "biomedical research." This difference in skills reveals the differences in what each career does.

The education levels that associate professors of biostatistics earn slightly differ from principal statistical scientists. In particular, associate professors of biostatistics are 6.4% less likely to graduate with a Master's Degree than a principal statistical scientist. Additionally, they're 6.4% less likely to earn a Doctoral Degree.

Principal statistical scientist vs. Associate director of biostatistics

On average, associate directors of biostatistics earn a $32,309 higher salary than principal statistical scientists a year.Only some things about these jobs are the same. Take their skills, for example. Principal statistical scientists and associate directors of biostatistics both require similar skills like "sas," "clinical trials," and "biometrics" to carry out their responsibilities.

Each career also uses different skills, according to real principal statistical scientist resumes. While principal statistical scientist responsibilities can utilize skills like "project budget," "data analysis," "resource forecasts," and "external clients," associate directors of biostatistics use skills like "fda," "statistical support," "study design," and "sops."

In general, associate directors of biostatistics achieve similar levels of education than principal statistical scientists. They're 1.9% more likely to obtain a Master's Degree while being 6.4% less likely to earn a Doctoral Degree.

Principal statistical scientist vs. Scientist

An average scientist eans a lower salary compared to the average salary of principal statistical scientists. The difference in salaries amounts to scientists earning a $10,769 lower average salary than principal statistical scientists.Using the responsibilities included on principal statistical scientists and scientists resumes, we found that both professions have similar skill requirements, such as "clinical trials," "data analysis," and "cmc.rdquo;

There are many key differences between these two careers, including some of the skills required to perform responsibilities within each role. For example, a principal statistical scientist is likely to be skilled in "sas," "project budget," "resource forecasts," and "external clients," while a typical scientist is skilled in "chemistry," "patients," "molecular biology," and "cell culture."

Most scientists achieve a similar degree level compared to principal statistical scientists. For example, they're 4.3% less likely to graduate with a Master's Degree, and 6.6% less likely to earn a Doctoral Degree.

Principal statistical scientist vs. Biostatistics director

Biostatistics directors typically earn lower pay than principal statistical scientists. On average, biostatistics directors earn a $49,784 lower salary per year.According to resumes from principal statistical scientists and biostatistics directors, some of the skills necessary to complete the responsibilities of each role are similar. These skills include "sas," "data analysis," and "biometrics. "Each job also requires different skills to carry out their responsibilities. A principal statistical scientist uses "project budget," "clinical trials," "resource forecasts," and "external clients." Biostatistics directors are more likely to have duties that require skills in "regulatory agencies," "cro," "regulatory submissions," and "study design. "In general, biostatistics directors hold similar degree levels compared to principal statistical scientists. Biostatistics directors are 0.9% more likely to earn their Master's Degree and 0.9% more likely to graduate with a Doctoral Degree.

Types of principal statistical scientist

Updated January 8, 2025

Zippia Research Team
Zippia Team

Editorial Staff

The Zippia Research Team has spent countless hours reviewing resumes, job postings, and government data to determine what goes into getting a job in each phase of life. Professional writers and data scientists comprise the Zippia Research Team.

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