This career video provides day in the life information about the following jobs and occupations.
JOB TITLE: Statisticians
OCCUPATION DESCRIPTION: Develop or apply mathematical or statistical theory and methods to collect, organize, interpret, and summarize numerical data to provide usable information. May specialize in fields such as biostatistics, agricultural statistics, business statistics, or economic statistics. Includes mathematical and survey statisticians.
RELATED JOB TITLES: Assistant Division Chief for Statistical Program Management, Clinical Statistics Manager, Human Resource Statistician, Private Statistical/Psychometric Consultant, Program Research Specialist, Senior Statistician, Statistical Analyst, Statistician, Statistician (Demographer), Trend Investigator
ONET: 15-2041.00
JOB TITLE: Biostatisticians
OCCUPATION DESCRIPTION: Develop and apply biostatistical theory and methods to the study of life sciences.
RELATED JOB TITLES: Associate Director of Biostatistics, Biostatistician, Biostatistics Director, Principal Biostatistician, Principal Statistical Scientist, Research Scientist, Senior Biostatistician/Group Leader
ONET: 15-2041.01
JOB TITLE: Clinical Data Managers
OCCUPATION DESCRIPTION: Apply knowledge of health care and database management to analyze clinical data, and to identify and report trends.
RELATED JOB TITLES: Clinical Data Associate, Clinical Data Management Associate Director (CDM Associate Director), Clinical Data Management Director (CDM Management Director), Clinical Data Management Manager (CDM Manager), Clinical Data Manager, Clinical Informatics Manager, Clinical Research Associate, Data Deliverables Manager, Data Management Manager, Data Management Specialist
ONET: 15-2051.02
15-2041.02
43-9111.00 - Statistical Assistants
Compile and compute data according to statistical formulas for use in statistical studies. May perform actuarial computations and compile charts and graphs for use by actuaries. Includes actuarial clerks.
15-2051.00 - Data Scientists
Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports.
15-2099.01 - Bioinformatics Technicians
Apply principles and methods of bioinformatics to assist scientists in areas such as pharmaceuticals, medical technology, biotechnology, computational biology, proteomics, computer information science, biology and medical informatics. Apply bioinformatics tools to visualize, analyze, manipulate or interpret molecular data. May build and maintain databases for processing and analyzing genomic or other biological information.
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