Statistician I Jobs
By USC At , Los Angeles, Ca $83,840 - $109,187 a year
Manage and integrate data from multiple sources and databases including REDCap, eLAB, Excel, SAS and SQL;
Clean and process data on longitudinal outcomes and measures;
Perform quality control on code and/or analyses provided by others;
Conduct data harmonization and analysis on longitudinal and cross-sectional data sets;
Maintain documentation of analytic decisions and procedures;
Assist in interpretation of large epidemiologic data sets;
Senior Statistician Jobs
By The County of Santa Clara - Public Health At , Santa Clara, Ca $191,227 - $232,442 a year
Leads development of grant applications, grant management, and reporting;
Coordinates with other staff around surveillance, epidemiology, research, evaluation, performance management, and quality improvement activities;
Principles of organization and administrative, contracting, and fiscal management, and employee supervision, training, and development;
Analyze policies and procedures and make recommendations to management;
Participate in meetings and consult with management concerning studies and reports needed for policy and program planning, monitoring, and evaluation;
Manages staff who merge datasets and performs data cleaning, editing, and quality control;
Senior Statistician - Remote
By UC San Diego Health At , San Diego, 92103, Ca $75,000 - $120,000 a year
Skills in project management. Proven skill in prioritizing multiple responsibilities and tasks. Excellent organizational skills.
Seven (7) years of related experience, education/training, OR an Bachelor’s degree in related area plus three (3) years of related experience/training.
Demonstrated experience with statistical programming and use of statistical computer packages, including SAS and R.
Thorough skills in analysis and consultation.
Research skills at a level to evaluate alternate solutions and develop recommendations.
Demonstrated knowledge of Word, Excel, Power Point, and relational database concepts.

Are you looking for an exciting opportunity to use your statistical expertise to make a real impact? We are seeking a Research Statistician to join our team and help us uncover insights from data to inform our research projects. You will have the opportunity to work with a diverse team of researchers and data scientists to develop and apply cutting-edge statistical methods to a variety of data sources. If you are passionate about data and have a knack for uncovering meaningful patterns, this could be the perfect job for you!

Overview:

Research Statisticians are responsible for collecting, analyzing, and interpreting data to inform decisions and solve problems. They use a variety of methods and techniques to analyze data, including descriptive statistics, probability models, and regression analysis. They also develop and implement data collection systems, design surveys, and analyze survey results. Research Statisticians typically work in a variety of industries, including government, healthcare, finance, and education. They may also work in research and development departments of companies.

How To Become an Research Statistician:

To become a Research Statistician, you will need to have a bachelor’s degree in statistics, mathematics, or a related field. You may also need to have experience in data analysis and computer programming. Additionally, you may need to have a master’s degree in statistics or a related field.

Research Statistician Skills:

• Analytical and problem-solving skills
• Knowledge of statistical software and programming languages
• Ability to interpret and present data
• Excellent communication and interpersonal skills
• Ability to work independently and as part of a team
• Attention to detail
• Time management and organizational skills

What is Research Statistician Knowledge?

• Knowledge of statistical methods and techniques
• Knowledge of data collection and analysis
• Knowledge of survey design and implementation
• Knowledge of data visualization
• Knowledge of database management
• Knowledge of research methodology

What is Research Statistician Responsibilities?

• Collecting and analyzing data
• Developing and implementing data collection systems
• Designing surveys and analyzing survey results
• Interpreting and presenting data
• Developing and maintaining databases
• Writing reports and presenting findings
• Assisting with research projects

What is Research Statistician Experience?

• Experience in data analysis and computer programming
• Experience with statistical software and programming languages
• Experience with data visualization
• Experience with survey design and implementation
• Experience with database management
• Experience with research methodology

What is Research Statistician Qualifications?

• Bachelor’s degree in statistics, mathematics, or a related field
• Master’s degree in statistics or a related field (preferred)
• Experience in data analysis and computer programming
• Knowledge of statistical software and programming languages
• Ability to interpret and present data

Research Statistician Education:

• Bachelor’s degree in statistics, mathematics, or a related field
• Master’s degree in statistics or a related field (preferred)
• Courses in data analysis, computer programming, and research methodology

Tools to Help Research Statistician Work Better:

• Statistical software such as SPSS, SAS, and R
• Data visualization software such as Tableau and Power BI
• Database management software such as MySQL and Oracle
• Survey design and implementation software such as SurveyMonkey and Qualtrics

Good Tips to Help Research Statistician Do More Effectively:

• Stay organized and keep track of data.
• Utilize data visualization to present data in an easy-to-understand format.
• Use statistical software to analyze data quickly and accurately.
• Keep up to date with the latest trends in data analysis and research methodology.
• Develop and maintain databases to store and organize data.
• Collaborate with other professionals to ensure accuracy and quality of data.

Common Research Statistician Interview Questions:

• What experience do you have in data analysis and computer programming?
• How familiar are you with statistical software and programming languages?
• What methods and techniques do you use to analyze data?
• How do you interpret and present data?
• What experience do you have with survey design and implementation?
• What experience do you have with database management?