- Conduct presentations of analytic findings.
Occupations with related tasks Save Table: XLSX CSV
- Present research findings at professional meetings.
- Explain sociological research to the general public.
- Prepare publications and reports containing research findings.
- Analyze and interpret data to increase the understanding of human social behavior.
- Develop, implement, and evaluate methods of data collection, such as questionnaires or interviews.
- Collect data about the attitudes, values, and behaviors of people in groups, using observation, interviews, and review of documents.
- Teach sociology.
- Plan and conduct research to develop and test theories about societal issues such as crime, group relations, poverty, and aging.
- Develop problem intervention procedures, using techniques such as interviews, consultations, role playing, and participant observation of group interactions.
- Consult with and advise individuals such as administrators, social workers, and legislators regarding social issues and policies, as well as the implications of research findings.
- Direct work of statistical clerks, statisticians, and others who compile and evaluate research data.
- Collaborate with research workers in other disciplines.
- Write grants to obtain funding for research projects.
- Develop approaches to the solution of groups' problems, based on research findings in sociology and related disciplines.
- Observe group interactions and role affiliations to collect data, identify problems, evaluate progress, and determine the need for additional change.
- Present research findings at professional meetings.
- Explain sociological research to the general public.
- Prepare publications and reports containing research findings.
- Present statistical and nonstatistical results, using charts, bullets, and graphs, in meetings or conferences to audiences such as clients, peers, and students.
- Report results of statistical analyses in peer-reviewed papers and technical manuals.
- Report results of statistical analyses, including information in the form of graphs, charts, and tables.
- Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
- Identify relationships and trends in data, as well as any factors that could affect the results of research.
- Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
- Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
- Design research projects that apply valid scientific techniques, and use information obtained from baselines or historical data to structure uncompromised and efficient analyses.
- Process large amounts of data for statistical modeling and graphic analysis, using computers.
- Adapt statistical methods to solve specific problems in many fields, such as economics, biology, and engineering.
- Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- Evaluate sources of information to determine any limitations, in terms of reliability or usability.
- Develop and test experimental designs, sampling techniques, and analytical methods.
- Plan data collection methods for specific projects, and determine the types and sizes of sample groups to be used.
- Supervise and provide instructions for workers collecting and tabulating data.
- Examine theories, such as those of probability and inference, to discover mathematical bases for new or improved methods of obtaining and evaluating numerical data.
- Prepare and structure data warehouses for storing data.
- Develop software applications or programming for statistical modeling and graphic analysis.
- Apply sampling techniques, or use complete enumeration bases to determine and define groups to be surveyed.
- Present statistical and nonstatistical results, using charts, bullets, and graphs, in meetings or conferences to audiences such as clients, peers, and students.
- Report results of statistical analyses in peer-reviewed papers and technical manuals.
- Report results of statistical analyses, including information in the form of graphs, charts, and tables.
- Write detailed analysis plans and descriptions of analyses and findings for research protocols or reports.
- Prepare articles for publication or presentation at professional conferences.
- Draw conclusions or make predictions, based on data summaries or statistical analyses.
- Analyze clinical or survey data, using statistical approaches such as longitudinal analysis, mixed-effect modeling, logistic regression analyses, and model-building techniques.
- Calculate sample size requirements for clinical studies.
- Read current literature, attend meetings or conferences, and talk with colleagues to keep abreast of methodological or conceptual developments in fields such as biostatistics, pharmacology, life sciences, and social sciences.
- Design research studies in collaboration with physicians, life scientists, or other professionals.
- Prepare tables and graphs to present clinical data or results.
- Write program code to analyze data with statistical analysis software.
- Review clinical or other medical research protocols and recommend appropriate statistical analyses.
- Develop or implement data analysis algorithms.
- Determine project plans, timelines, or technical objectives for statistical aspects of biological research studies.
- Prepare statistical data for inclusion in reports to data monitoring committees, federal regulatory agencies, managers, or clients.
- Plan or direct research studies related to life sciences.
- Monitor clinical trials or experiments to ensure adherence to established procedures or to verify the quality of data collected.
- Design or maintain databases of biological data.
- Apply research or simulation results to extend biological theory or recommend new research projects.
- Develop or use mathematical models to track changes in biological phenomena, such as the spread of infectious diseases.
- Assign work to biostatistical assistants or programmers.
- Analyze archival data, such as birth, death, and disease records.
- Design surveys to assess health issues.
- Teach graduate or continuing education courses or seminars in biostatistics.
- Provide biostatistical consultation to clients or colleagues.
- Write research proposals or grant applications for submission to external bodies.
- Collect data through surveys or experimentation.
- Write detailed analysis plans and descriptions of analyses and findings for research protocols or reports.
- Prepare articles for publication or presentation at professional conferences.
- Deliver oral or written presentations of the results of mathematical modeling and data analysis to management or other end users.
- Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software.
- Analyze, manipulate, or process large sets of data using statistical software.
- Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Design surveys, opinion polls, or other instruments to collect data.
- Identify business problems or management objectives that can be addressed through data analysis.
- Identify relationships and trends or any factors that could affect the results of research.
- Identify solutions to business problems, such as budgeting, staffing, and marketing decisions, using the results of data analysis.
- Propose solutions in engineering, the sciences, and other fields using mathematical theories and techniques.
- Read scientific articles, conference papers, or other sources of research to identify emerging analytic trends and technologies.
- Recommend data-driven solutions to key stakeholders.
- Test, validate, and reformulate models to ensure accurate prediction of outcomes of interest.
- Write new functions or applications in programming languages to conduct analyses.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
- Deliver oral or written presentations of the results of mathematical modeling and data analysis to management or other end users.
- Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software.
- Disseminate research by writing reports, publishing papers, or presenting at professional conferences.
- Address the relationships of quantities, magnitudes, and forms through the use of numbers and symbols.
- Maintain knowledge in the field by reading professional journals, talking with other mathematicians, and attending professional conferences.
- Apply mathematical theories and techniques to the solution of practical problems in business, engineering, the sciences, or other fields.
- Develop mathematical or statistical models of phenomena to be used for analysis or for computational simulation.
- Perform computations and apply methods of numerical analysis to data.
- Assemble sets of assumptions, and explore the consequences of each set.
- Develop new principles and new relationships between existing mathematical principles to advance mathematical science.
- Develop computational methods for solving problems that occur in areas of science and engineering or that come from applications in business or industry.
- Design, analyze, and decipher encryption systems designed to transmit military, political, financial, or law-enforcement-related information in code.
- Conduct research to extend mathematical knowledge in traditional areas, such as algebra, geometry, probability, and logic.
- Disseminate research by writing reports, publishing papers, or presenting at professional conferences.
- Present the results of mathematical modeling and data analysis to management or other end users.
- Formulate mathematical or simulation models of problems, relating constants and variables, restrictions, alternatives, conflicting objectives, and their numerical parameters.
- Perform validation and testing of models to ensure adequacy, and reformulate models, as necessary.
- Collaborate with senior managers and decision makers to identify and solve a variety of problems and to clarify management objectives.
- Collaborate with others in the organization to ensure successful implementation of chosen problem solutions.
- Analyze information obtained from management to conceptualize and define operational problems.
- Study and analyze information about alternative courses of action to determine which plan will offer the best outcomes.
- Prepare management reports defining and evaluating problems and recommending solutions.
- Define data requirements, and gather and validate information, applying judgment and statistical tests.
- Observe the current system in operation, and gather and analyze information about each of the component problems, using a variety of sources.
- Break systems into their components, assign numerical values to each component, and examine the mathematical relationships between them.
- Design, conduct, and evaluate experimental operational models in cases where models cannot be developed from existing data.
- Educate staff in the use of mathematical models.
- Specify manipulative or computational methods to be applied to models.
- Develop and apply time and cost networks to plan, control, and review large projects.
- Develop business methods and procedures, including accounting systems, file systems, office systems, logistics systems, and production schedules.
- Present the results of mathematical modeling and data analysis to management or other end users.
- Present technical information at conferences.
- Analyze product failure data and laboratory test results to determine causes of problems and develop solutions.
- Design and direct the testing or control of processing procedures.
- Monitor material performance, and evaluate its deterioration.
- Conduct or supervise tests on raw materials or finished products to ensure their quality.
- Evaluate technical specifications and economic factors relating to process or product design objectives.
- Modify properties of metal alloys, using thermal and mechanical treatments.
- Determine appropriate methods for fabricating and joining materials.
- Guide technical staff in developing materials for specific uses in projected products or devices.
- Review new product plans, and make recommendations for material selection, based on design objectives such as strength, weight, heat resistance, electrical conductivity, and cost.
- Supervise the work of technologists, technicians, and other engineers and scientists.
- Plan and implement laboratory operations to develop material and fabrication procedures that meet cost, product specification, and performance standards.
- Plan and evaluate new projects, consulting with other engineers and corporate executives, as necessary.
- Supervise production and testing processes in industrial settings, such as metal refining facilities, smelting or foundry operations, or nonmetallic materials production operations.
- Solve problems in a number of engineering fields, such as mechanical, chemical, electrical, civil, nuclear, and aerospace.
- Conduct training sessions on new material products, applications, or manufacturing methods for customers and their employees.
- Perform managerial functions, such as preparing proposals and budgets, analyzing labor costs, and writing reports.
- Replicate the characteristics of materials and their components, using computers.
- Design processing plants and equipment.
- Write for technical magazines, journals, and trade association publications.
- Teach in colleges and universities.
- Present technical information at conferences.
