Job Duties Custom List 19-2012.00 — Physicists
- Perform complex calculations as part of the analysis and evaluation of data, using computers.
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- 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.
- Draw conclusions or make predictions, based on data summaries or statistical analyses.
- Develop or implement data analysis algorithms.
- Prepare statistical data for inclusion in reports to data monitoring committees, federal regulatory agencies, managers, or clients.
- Analyze clinical or survey data, using statistical approaches such as longitudinal analysis, mixed-effect modeling, logistic regression analyses, and model-building techniques.
- Write detailed analysis plans and descriptions of analyses and findings for research protocols or reports.
- 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.
- Determine project plans, timelines, or technical objectives for statistical aspects of biological research studies.
- Plan or direct research studies related to life sciences.
- Prepare articles for publication or presentation at professional conferences.
- 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.
- 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.
- 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.
- Draw conclusions or make predictions, based on data summaries or statistical analyses.
- Develop or implement data analysis algorithms.
- Prepare statistical data for inclusion in reports to data monitoring committees, federal regulatory agencies, managers, or clients.
- Define data requirements, and gather and validate information, applying judgment and statistical tests.
- Break systems into their components, assign numerical values to each component, and examine the mathematical relationships between them.
- 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.
- Present the results of mathematical modeling and data analysis to management or other end users.
- 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.
- Observe the current system in operation, and gather and analyze information about each of the component problems, using a variety of sources.
- 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.
- Define data requirements, and gather and validate information, applying judgment and statistical tests.
- Break systems into their components, assign numerical values to each component, and examine the mathematical relationships between them.
- Apply mathematical theories and techniques to the solution of practical problems in business, engineering, the sciences, or other fields.
- Address the relationships of quantities, magnitudes, and forms through the use of numbers and symbols.
- Perform computations and apply methods of numerical analysis to data.
- Assemble sets of assumptions, and explore the consequences of each set.
- Disseminate research by writing reports, publishing papers, or presenting at professional conferences.
- Maintain knowledge in the field by reading professional journals, talking with other mathematicians, and attending professional conferences.
- Develop mathematical or statistical models of phenomena to be used for analysis or for computational simulation.
- 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.
- Apply mathematical theories and techniques to the solution of practical problems in business, engineering, the sciences, or other fields.
- Address the relationships of quantities, magnitudes, and forms through the use of numbers and symbols.
- Perform computations and apply methods of numerical analysis to data.
- Assemble sets of assumptions, and explore the consequences of each set.
- Adapt statistical methods to solve specific problems in many fields, such as economics, biology, and engineering.
- 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.
- 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, including information in the form of graphs, charts, and tables.
- 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.
- Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- Report results of statistical analyses in peer-reviewed papers and technical manuals.
- 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.
- Adapt statistical methods to solve specific problems in many fields, such as economics, biology, and engineering.
- 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.
- Propose solutions in engineering, the sciences, and other fields using mathematical theories and techniques.
- Identify relationships and trends or any factors that could affect the results of research.
- 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.
- Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software.
- Deliver oral or written presentations of the results of mathematical modeling and data analysis to management or other end users.
- Design surveys, opinion polls, or other instruments to collect data.
- Identify business problems or management objectives that can be addressed through data analysis.
- Identify solutions to business problems, such as budgeting, staffing, and marketing decisions, using the results of data analysis.
- 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.
- Propose solutions in engineering, the sciences, and other fields using mathematical theories and techniques.
- Identify relationships and trends or any factors that could affect the results of research.
- Design, develop and modify software systems, using scientific analysis and mathematical models to predict and measure outcomes and consequences of design.
- Analyze information to determine, recommend, and plan installation of a new system or modification of an existing system.
- Analyze user needs and software requirements to determine feasibility of design within time and cost constraints.
- Confer with data processing or project managers to obtain information on limitations or capabilities for data processing projects.
- Confer with systems analysts, engineers, programmers and others to design systems and to obtain information on project limitations and capabilities, performance requirements and interfaces.
- Consult with customers or other departments on project status, proposals, or technical issues, such as software system design or maintenance.
- Coordinate installation of software system.
- Determine system performance standards.
- Develop or direct software system testing or validation procedures, programming, or documentation.
- Modify existing software to correct errors, adapt it to new hardware, or upgrade interfaces and improve performance.
- Monitor functioning of equipment to ensure system operates in conformance with specifications.
- Obtain and evaluate information on factors such as reporting formats required, costs, or security needs to determine hardware configuration.
- Prepare reports or correspondence concerning project specifications, activities, or status.
- Recommend purchase of equipment to control dust, temperature, or humidity in area of system installation.
- Specify power supply requirements and configuration.
- Store, retrieve, and manipulate data for analysis of system capabilities and requirements.
- Supervise and assign work to programmers, designers, technologists, technicians, or other engineering or scientific personnel.
- Supervise the work of programmers, technologists and technicians and other engineering and scientific personnel.
- Train users to use new or modified equipment.
- Design, develop and modify software systems, using scientific analysis and mathematical models to predict and measure outcomes and consequences of design.
- Compile laboratory test data and perform appropriate analyses.
- Conduct routine and non-routine analyses of in-process materials, raw materials, environmental samples, finished goods, or stability samples.
- Interpret test results, compare them to established specifications and control limits, and make recommendations on appropriateness of data for release.
- Calibrate, validate, or maintain laboratory equipment.
- Ensure that lab cleanliness and safety standards are maintained.
- Perform visual inspections of finished products.
- Complete documentation needed to support testing procedures, including data capture forms, equipment logbooks, or inventory forms.
- Identify and troubleshoot equipment problems.
- Write technical reports or documentation, such as deviation reports, testing protocols, and trend analyses.
- Investigate or report questionable test results.
- Monitor testing procedures to ensure that all tests are performed according to established item specifications, standard test methods, or protocols.
- Identify quality problems and recommend solutions.
- Participate in out-of-specification and failure investigations and recommend corrective actions.
- Receive and inspect raw materials.
- Train other analysts to perform laboratory procedures and assays.
- Supply quality control data necessary for regulatory submissions.
- Serve as a technical liaison between quality control and other departments, vendors, or contractors.
- Write or revise standard quality control operating procedures.
- Participate in internal assessments and audits as required.
- Perform validations or transfers of analytical methods in accordance with applicable policies or guidelines.
- Evaluate analytical methods and procedures to determine how they might be improved.
- Prepare or review required method transfer documentation including technical transfer protocols or reports.
- Review data from contract laboratories to ensure accuracy and regulatory compliance.
- Develop and qualify new testing methods.
- Coordinate testing with contract laboratories and vendors.
- Evaluate new technologies and methods to make recommendations regarding their use.
- Compile laboratory test data and perform appropriate analyses.
