Statistician Job Description

Job summary 1

The Statistician will execute responsibilities that require professional knowledge of statistics to include but are not limited to, collecting and interpreting data, data analysis, forecasting, trends, and predictions. Apply statistical theories, techniques, and methods to program results and data. Prepare data for tracking. Gather and interpret quantified information to include, but not limited to, run, swim, and academic and physical test results. Provide analysis through mathematical modeling.

Duties & Responsibilities 1

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Requirements & Skills 1

Job summary 2

This Statistician role will provide leadership and direction on the planning, analysis, review, interpretation, selection of methods, and summary and publication of all statistical and data analysis components for Quality Assurance and Manufacturing, as needed. This will include analysis of data related to quality control for the final product, in-process manufacturing, and intermediates, support validation efforts in Operations, in aspects of study design and data analysis, and development of sampling plans and statistical models to support manufacturing and product release specifications.

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Job summary 3

A Statistician provides in-depth statistical expertise in the areas of; experiment, protocol, database structure, and analysis plan. May also contribute to the decision for optimal study design and contribute to the proper use of statistical methodologies for a study.

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Job summary 4

The Statistician is an integral part of our team. If you understand SAS programming principles and concepts and have a good knowledge of statistical methods, apply today!

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Job summary 5

Our team seeks a highly creative and detailed-oriented professional with demonstrated experience in statistics and complex data analytics.

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Job summary 6

The purpose of the Statistician position is to provide compound level/development phase statistical expertise and leadership by Independently designing, analyzing, and interpreting clinical studies at a compound level for early phase or less complex programs. Providing strategic statistical input for feasibility assessments, development plans, cross-study analyses, and regulatory submissions. Improving and using standards to maximize global data integrability, interpretability, and compound-level efficiency. Leveraging internal and external resources to achieve quality, timely, and cost-effective compound level and submission deliverables.

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Job summary 7

A Statistician collects and analyzes data and helps solve problems in various industries. A Statistician designs surveys, questionnaires, and experiments to collect the data, and plan and direct problems to find ways to prevent and treat the problems.

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Job summary 8

The Statistician performs high-level client consulting and develops and leads teams and within clients’ departments. The Statistician’s primary focus is to lead and perform the statistical planning and statistical analysis of clinical studies.

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Job summary 9

The Statistician will be responsible for performing basic analyses of research data from research studies.

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Job summary 10

We are in search of a Statistician.

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Frequently asked questions

What is the role of a statistician?

A statistician uses statistical methods to collect, analyze, interpret, and present quantitative data. The role of a statistician can vary widely depending on the industry they work in, but generally, their tasks include the following:

Designing Data Collection Methods: Statisticians determine the most effective way to collect data that will answer a particular research question or set of questions. This could involve designing surveys or experiments, or determining how to collect data from existing sources.

Collecting Data: In some roles, statisticians may be directly involved in data collection. This could involve conducting surveys, overseeing data collection operations, or extracting data from databases or other sources.

Analyzing Data: Using statistical software, statisticians analyze the data they've collected. They apply statistical techniques to understand relationships between variables, identify trends and patterns, and draw conclusions from the data.

Interpreting Results: Statisticians interpret the results of their analyses, determining what the findings mean in the context of the research questions. They may develop predictions or recommendations based on these findings.

Reporting Findings: Statisticians report their findings to others in the form of reports, presentations, or papers. This involves explaining complex statistical concepts and results in a way that can be understood by non-statisticians.

Advising Others: Statisticians often provide advice to others in their organization, such as managers or researchers, on matters related to data and statistics. This could involve advising on the design of a study, the interpretation of data, or the implications of findings for decision-making.

Statisticians work in a variety of fields, including healthcare, government, business, and academia. In each of these fields, the role of the statistician can look a little different. For example, a statistician working in healthcare might focus on analyzing clinical trial data, while a statistician working in business might focus on market research or financial data.

Who does a statistician work with?

Statisticians work with various professionals and stakeholders depending on the industry and specific context of their work. Here are some key individuals and groups that statisticians commonly collaborate with:

Researchers and Scientists: Statisticians often collaborate closely with researchers and scientists in various fields such as social sciences, healthcare, environmental studies, or engineering. They assist in study design, data collection methods, and data analysis to help answer research questions and provide statistical insights.

Data Analysts and Data Scientists: Statisticians may work alongside data analysts or data scientists who focus on extracting insights from data using statistical techniques and advanced analytics methods. They collaborate to analyze complex datasets, develop models, and interpret findings.

Decision-Makers and Managers: Statisticians frequently interact with decision-makers, managers, and executives who rely on data-driven insights to inform strategic decisions. They provide statistical analysis and interpretations to support evidence-based decision-making and help evaluate the impact of various options.

Survey Researchers: Statisticians often collaborate with survey researchers in designing surveys, developing sampling strategies, and analyzing survey data. They help ensure the validity and reliability of survey instruments and provide statistical expertise in analyzing the survey results.

Statistical Programmers: In larger organizations or projects, statisticians may work with statistical programmers who assist in data management, coding statistical algorithms, and automating statistical processes. They collaborate to implement statistical models and develop tools for efficient data analysis.

Clients and Stakeholders: Statisticians frequently work with clients or stakeholders who have specific research or analysis needs. They engage in discussions to understand the requirements, communicate findings, and present statistical results in a way that is accessible and useful to the intended audience.

Software Developers: Statisticians may collaborate with software developers in creating statistical software packages or tools. They provide guidance on statistical algorithms and functionality, ensuring that the software meets the needs of statisticians and data analysts.

Ethics Committees and Regulatory Bodies: In research involving human subjects or sensitive data, statisticians may interact with ethics committees and regulatory bodies. They help ensure compliance with ethical guidelines, privacy regulations, and statistical standards.

It's important to note that the specific collaborations can vary depending on the industry, organization, and projects involved. Statisticians often work as part of interdisciplinary teams, bridging the gap between data analysis and domain expertise to derive meaningful insights from data.

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