• Provide statistical and machine learning support for research projects in health sciences under the guidance of principal investigators or designated research scientists.
• Apply advanced analytical methods to address research questions across multiple scientific domains.
• Conduct statistical analyses related to health outcomes and population-level studies.
• Support research efforts in precision medicine through data-driven modeling and evaluation.
• Apply analytical techniques to projects with relevance to national security.
• Adapt statistical and machine learning approaches to diverse and complex datasets.
• Collaborate closely with researchers within ORNL on interdisciplinary projects.
• Engage with external collaborators to support joint research initiatives.
• Contribute analytical insights that strengthen the overall research objectives.
• Participate in the preparation of manuscripts and presentations for academic papers and scientific conferences.

Skills: Statistical Modeling, Machine Learning, Health Data Analysis, Population Studies, Precision Medicine Analytics, Interdisciplinary Collaboration, Scientific Communication, Research Data Evaluation

• Prepare and validate data, and then build and validate a scoring model using logistic regression or alternative quantitative methods.
• Conduct data-driven analysis and create reports.
• Apply quantitative and qualitative data analysis methods, and prepare statistical and non-statistical data exploration.
• Validate data, identify data quality issues, and work with Technology to address them.
• Analyze and interpret data reports, draw conclusions, and make recommendations to answer specific business needs.
• Document solutions and present results in a simple, comprehensive way to a non-technical audience, as well as write more formal documentation using statistical vocabulary.
• Generate new ideas, concepts, and models to improve methods of obtaining and evaluating quantitative and qualitative data.
• Identify relationships and trends in data, as well as any factors that could affect the results of research.
• Question and validate assumptions.
• Escalate identified risks and sensitive areas in terms of methodology and processes.
• Maintain an industry-leading knowledge of the tools, systems, and processes available for best-in-class AML Detection and Monitoring Operations.

Skills: Logistic Regression Modeling, Data Validation, Quantitative Analysis, Qualitative Analysis, Data Quality Management, Business Insights Reporting, Risk Assessment, AML Analytics

• Independently conduct statistical analyses of transportation data using established techniques.
• Guide appropriate statistical techniques to researchers.
• Perform statistical simulations to assess new statistical techniques.
• Document the methods and results of statistical analyses in reports, journal articles, presentations, and other visual media.
• Query large databases.
• Perform literature reviews, consult with faculty to define research questions and analytical design.
• Write, test, and implement programs to clean, merge, and analyze large, complex datasets.
• Create standardized and recorded variables to facilitate analyses using multiple datasets.
• Implement methods to ensure data quality.
• Participate as a team member in discussions on data analysis and improvement of data collection, quality of data analyses, programming, and documentation.

Skills: Statistical Analysis, Transportation Data Analytics, Statistical Simulation, Research Design Support, Large Database Querying, Data Engineering, Data Quality Assurance, Technical Documentation

• Develop broad experience across operational activities within the gas and water industries.
• Build a practical working knowledge of pipelines, metering systems, and other utility assets.
• Contribute to projects that deliver technical solutions aligned with client requirements.
• Ensure all project work meets agreed timelines, cost constraints, and quality standards.
• Communicate analysis methods, results, and conclusions clearly in written formats.
• Present findings accurately through emails, presentations, and formal reports.
• Engage in oral communication with both internal stakeholders and external clients.
• Provide peer review and constructive input on technical reports and analytical models.
• Support team members by strengthening the quality and consistency of project deliverables.
• Comply fully with DNV health and safety guidelines and client-specific requirements.
• Perform additional reasonable tasks to support the objectives of the Markets & Risk unit.

Skills: Utility Operations, Pipeline Systems, Technical Delivery, Market Risk, Technical Writing, Stakeholder Communication, Quality Review, Safety Compliance

• Prepare detailed statistical sections for grant proposals that clearly justify analytical approaches.
• Develop power and sample size calculations aligned with study objectives and design assumptions.
• Ensure statistical methodologies in proposals meet funding agency standards and best practices.
• Collaborate with research teams to refine study designs for grant submissions.
• Teach graduate students core statistical concepts relevant to their research.
• Guide students in selecting appropriate statistical methods for their data.
• Assist graduate students in performing accurate and reproducible statistical analyses.
• Support postdoctoral trainees in developing advanced analytical skills.
• Provide mentorship on the interpretation and presentation of statistical results.
• Serve as a co-investigator on grant proposals, contributing statistical expertise to strengthen submissions.

Skills: Grant Statistics, Power Analysis, Study Design, Statistical Methodology, Graduate Teaching, Statistical Mentorship, Reproducible Analysis, Research Collaboration

• Work on multiple projects in a fast-paced environment.
• Analyze claims data in large Medicare data sources, wearable data, and mobile app development and analysis, and help craft written analysis plans.
• Perform statistical and technical tasks using appropriate software from an array of computer packages, along with research materials to support the methods used in these analyses.
• Apply statistical methods to a broad spectrum of data and studies.
• Shape raw administrative data into various temporary and permanent analytical databases.
• Check for data entry errors in databases created by self and others.
• Collect, analyze, and interpret data, and prepare statistical and narrative reports and/or graphs.
• Produce reports and charts to communicate the analysis results to the investigators.
• Remain current in the latest advancements in research-related topics by attending various conferences and seminars, communicating with experts in their respective fields, and reading relevant publications.

Skills: Claims Data Analysis, Medicare Analytics, Statistical Computing, Data Engineering, Data Quality Checks, Research Reporting, Data Visualization, Applied Statistics

• Provide statistical expertise for the study design of Beauty Care clinical and non-clinical study protocols and write a statistical analysis plan for the study protocol.
• Complete detailed analysis plans, summaries of research and experimentation, and document work in appropriate data storage systems.
• Interpret, summarize, and present study results to project teams and leadership.
• Provide statistical interpretation and support for product claims and credentialing.
• Identify, develop, and apply statistical methods to analyze data from Beauty Care research and development projects.
• Identify and reapply the best statistical methods and programming practices both within and outside of the company.
• Identify opportunity areas to automate analyses and drive simplification across both in-clinic and at-home measures.
• Identify and develop tools for automated data analysis and reporting.
• Comply with data integrity and business ethics requirements.

Skills: Study Design Support, Statistical Analysis Plans, Research Documentation, Results Interpretation, Product Claims Analytics, Statistical Programming, Analysis Automation, Data Integrity

• Collect, analyze, and interpret disparate data sets.
• Identify trends, correlations, or anomalies in data.
• Design processes for data collection and business process mapping.
• Communicate findings effectively to stakeholders.
• Knowledgeable about predictive, regression, or comparative style analysis.
• Apply comprehensive knowledge of program management skills to evaluate performance results and make recommended changes.
• Apply appropriate management analysis processes, modeling, and simulation tools.
• Develop new deliverables based on operational requirements.
• Develop reports to support operations, write knowledge content, and prepare presentations for senior management.
• Remain current with and obtain expertise on new and emerging analysis techniques, methodologies, and approaches.

Skills: Data Integration, Trend Analysis, Process Mapping, Stakeholder Communication, Predictive Analytics, Program Evaluation, Modeling Simulation, Executive Reporting

• Produce end-to-end pricing models using a tailor-made pricing pipeline.
• Use R or Python to build predictive statistical models and use Earnix to intelligently optimise customer prices.
• Implement pricing strategy changes based on performance analysis.
• Contribute to research and development opportunities to help innovate and progress current methodologies.
• Evaluate and utilise tools and data items created by data science teams.
• Work closely with the Commercial Pricing Team to ensure pricing models meet business objectives.
• Ensure all activity is compliant with pricing governance and follows established controls.

Skills: Pricing Modeling, Predictive Analytics, R Python, Pricing Optimization, Performance Analysis, Pricing Strategy, Cross-Team Collaboration, Pricing Governance

• Develop comprehensive research strategies aligned with long-term organizational objectives.
• Create clear research roadmaps using effective content visualization techniques.
• Leverage both qualitative and quantitative data to inform strategic decision-making.
• Transform complex data into visual formats that support insight generation.
• Evaluate and assess potential international research partners based on defined criteria.
• Analyze raw data to uncover meaningful trends and relationships.
• Apply mathematical and statistical techniques to perform in-depth process analysis.
• Ensure analytical approaches support accurate interpretation of complex datasets.
• Design automated workflows for data collection, analysis, and reporting.
• Implement monitoring processes that manage data effectively throughout its entire lifecycle.

Skills: Research Strategy, Research Roadmapping, Mixed Methods Analysis, Data Visualization, Partner Evaluation, Trend Analysis, Statistical Process Analysis, Data Workflow Automation

• Collaborate with nationally recognized experts at the National Cancer Institute to support cancer research initiatives.
• Contribute statistical expertise to studies focused on genomics and cancer biology.
• Support analyses related to cancer incidence, prevalence, and population-level cancer rates.
• Apply statistical methods to investigate determinants of cancer development and progression.
• Analyze data related to cancer treatment effectiveness and prevention strategies.
• Conduct rigorous statistical analyses across multiple cancer-related research projects.
• Interpret analytical results to ensure scientifically valid conclusions.
• Prepare results for publication in peer-reviewed journals and scientific outlets.
• Develop and refine statistical methods tailored to genomic and biomedical studies.
• Design data analysis procedures for observational studies, intervention trials, and laboratory research.
• Work with cohort and case-control study designs to address epidemiological research questions.
• Model trends in cancer incidence, mortality, and survival using population-based data sources and relate findings to changes in risk factors and control practices.

Skills: Cancer Biostatistics, Genomic Analysis, Epidemiological Modeling, Population Health Analysis, Treatment Effectiveness, Statistical Method Development, Scientific Publication, Cohort Study Design

• Perform statistical analyses using appropriate software from an array of computer packages available, along with research materials to support the methods used in these analyses.
• Apply statistical methods suited to specific research questions.
• Shape raw administrative claims data into various temporary and permanent analytical databases.
• Perform regular updates, QA/QC, and design, edit, and implement specification rules.
• Check for data entry errors in databases created by self and others.
• Produce reports and charts to communicate the analysis results to the investigators.
• Assist with writing scientific research papers in peer-reviewed journals.
• Collect, analyze, and interpret data, prepare statistical and narrative reports and/or graphs.
• Remain current in the latest advancements in research-related topics by attending various conferences and seminars, communicating with experts in their respective fields, and reading relevant publications.

Skills: Statistical Computing, Applied Statistics, Claims Data Engineering, Data Quality Control, Database Management, Data Visualization, Scientific Writing, Research Reporting

• Collaborate with multi-disciplinary teams of engineers and analysts using classical and modern statistical learning methods.
• Communicate effectively with non-statisticians and engage in engineering discussions with all levels of the organization.
• Knowledgeable about high-dimensional data analysis, survival analysis, machine learning, data management, general linear models, probability theory, Bayesian methods, hypothesis testing, experimental design, categorical data analysis, and statistical process control.
• Train engineers in various technologies, including survival analysis, basic statistical thinking, R, and Python.
• Provide guidance and training to entry-level statisticians.
• Develop standard work and best practices for statistical methodology.
• Participate in external and internal learning opportunities.

Skills: Statistical Learning, Cross-Functional Collaboration, Advanced Statistics, Machine Learning, R Python Training, Statistical Mentorship, Methodology Standards, Continuous Learning

• Perform a variety of duties involving the application of intermediate statistical and technical skills to the design of research studies and to the collection, compilation, and analysis of statistical data.
• Function independently as a member of a research or study team and provide statistical input in the design, execution, and analysis of scientifically conducted studies.
• Participate in the development of operations and procedures for the collection, editing, verification, and management of statistical data.
• Participate in developing and editing statistical analysis plans for projects.
• Participate in developing data collection forms for scientific studies.
• Operate one or more systems of computer hardware and statistical analysis software for the management and analysis of data, using tools such as Stata, R, Python, REDCap, OpenDataKit, and Qualtrics.
• Participate in the preparation of written reports and oral presentations that summarize the analysis of data, interpret the findings, and provide conclusions and recommendations.
• Analyze educational data to provide statistical analysis for manuscript preparation, evaluate data for foundational feedback to improve the training program, and participate in a team setting to improve data collection and analysis.

Skills: Study Design, Statistical Analysis, Data Management, Analysis Planning, Data Collection Tools, Statistical Software, Research Reporting, Educational Analytics

• Analyze, interpret, and manage a variety of datasets.
• Ensure data integrity by performing rigorous cleaning, error checking, and validation.
• Define and utilize statistical methods to solve industry-specific problems and convey complex information to people who may not be specialists.
• Compare and analyze statistical information to identify patterns, relationships, and problems.
• Apply sampling techniques to effectively determine and define ideal categories to be questioned.
• Use techniques such as ANCOVA for stability analysis, two one-sided tests for comparability analysis, correlation and regression (parametric/nonparametric), hypothesis testing (parametric/nonparametric), multiple linear regression, logistic regression, and other appropriate methods.
• Perform statistical tests to determine the reliability and soundness of results.
• Create and maintain databases using statistical software programs such as SPSS, SAS, or Stata.
• Present statistical findings to management in reports that include executive summaries, charts, tables, and graphs.
• Participate in and/or lead continuous improvement projects and activities.

Skills: Data Analysis, Data Integrity, Applied Statistics, Pattern Identification, Sampling Methods, Regression Modeling, Statistical Testing, Executive Reporting

• Build and foster relationships with customers, stakeholders, and support groups globally to understand their statistical needs and determine sound statistical techniques for use.
• Collaborate with process analytical teams and subject matter experts in Manufacturing and Manufacturing Sciences & Technology to design studies and analyze complex datasets for process robustness and improvement.
• Support analytical teams in QC and Analytical Sciences & Technology for method performance monitoring and reference standard qualification.
• Develop and select appropriate statistical methods for the design and analysis of studies and programs to assure batch compliance and prevent rejections, reworks, complaints, and product recalls on a worldwide basis, including determining specifications, process capability, sampling plans, and expiry/retest periods.
• Conduct thorough and careful analysis of data, gather critical information, and provide appropriate recommendations and solutions based on corresponding statistical analyses and business needs.
• Represent Global Statistics at product development, product protocol, and management meetings.
• Contribute to the globalization, improvement, and standardization of processes, procedures, and systems in relation to Statistics while maintaining flexibility.
• Further the statistical awareness and statistical process control competency of other personnel and participate in their training and development.
• Act as departmental interface with Information Technology on system-related projects and perform programming.
• Create, communicate, and support the highest commitment to quality and compliance.
• Support the organizational behaviors and values.

Skills: Stakeholder Engagement, Manufacturing Statistics, Process Robustness, Quality Compliance, Statistical Methods, Global Standardization, Statistical Training, SPC Expertise

• Provide support to the clinical trial study team on all assigned statistical matters in collaboration with programmers.
• Provide high-quality input into the design of the clinical study, including protocol development, study setup, and conduct to ensure data are adequately captured and collected to answer the study objectives and support the planned statistical analyses.
• Accountable for all assigned statistical deliverables related to one study or specific domain, including statistical sections in the protocol such as sample size calculation, randomization specifications, statistical methodology, Statistical Analysis Plan, data surveillance, and statistical analysis results for CSR and its appendices.
• Work with the programming team to provide definitions, documentation, and review of derived variables, as well as the quality control plan.
• Perform and/or coordinate with the study programmer the production of statistical analyses and review statistical data distributions and properties.
• Oversee execution of the statistical analyses according to the SAP and prepare statistical methods and insights for interpretation and discussion of results sections for the clinical study report and/or publications, ensuring statistical integrity of the content according to internal standards, regulatory guidelines, and in compliance with SOPs.
• Propose, prepare, and perform exploratory data analyses and ad-hoc analyses as relevant for the study or project objectives.
• Contribute to defining and reviewing the specific deliverables related to Transparency and Disclosure.
• Ensure productive collaborations with other functions in the aligned study team by promoting teamwork, quality, operational efficiency, and innovation.
• Represent statistics in scientific or technology working groups or cross-functional initiatives.

Skills: Clinical Trial Statistics, Study Design, Statistical Analysis Plans, Sample Size, Data Surveillance, Statistical Reporting, Exploratory Analysis, Cross-Functional Collaboration

• Enhance the development of methods for obtaining relevant data for SDG indicators for which UNEP is the Custodian Agency, mainly related to water, sustainable consumption and production, oceans, biodiversity, and chemicals and waste, in cooperation with Partner Organisations.
• Compile and report data on the SDG indicators for which UNEP is the Custodian Agency to the UN SDG global database.
• Ensure the quality of collected data for accuracy, consistency, and comparability.
• Ensure that the reporting data is validated by the countries.
• Provide metadata and indicator methodology guidance to countries.
• Provide analysis on the progress of SDG targets related to the environmental dimension of the SDGs for the Secretary General's Report on progress towards the goals and targets of the 2030 SD agenda at the global level.
• Provide an analysis of progress on the environment dimension to the UN Environment Assembly.
• Develop new or improved statistical methods and quantitative models for analysis and projections.
• Plan and conduct analytical programmes of work in relevant areas related to disaggregation of statistics, including gender environment statistics.
• Contribute to the Common Country Analysis in the context of the UN Development System Reform.
• Identify and prepare projects, conduct analysis, and participate in technical advisory activities for national capacity building.
• Implement projects on the capacity building of environmental statistics in countries.
• Supervise and contribute to the development and maintenance of the World Environment Situation Room Global Database, web publishing tools, and other software for the collection, storage, and distribution of statistical data, guidelines on environment statistics, and online training modules for capacity development on environment statistics.
• Undertake methodological research with regard to standards on concepts, definitions, and classifications to assist countries and other constituents in strengthening their statistical development with regard to the Framework on Environment Statistics and the System for Environmental and Economic Accounting.
• Represent UNEP in the Committee of Chief Statisticians of the UN System.
• Provide guidance and advice to other departments, regional offices, field experts, etc., in the planning, operation, and evaluation of statistical programmes and projects.
• Plan and coordinate seminars, workshops, expert meetings, side events, etc.

Skills: SDG Indicators, Environmental Statistics, Data Quality Assurance, Global Reporting, Statistical Methodology, Capacity Building, Environmental Databases, International Coordination

• Utilize the systems available to obtain data for research studies and reports.
• Determine appropriate statistical procedures for the analysis of data and accomplish its implementation.
• Solve statistical and data table relationship problems encountered in research and data management situations.
• Create multiple programs and/or scripts to achieve queries and comprehensive statistical analyses for given data sets in multiple combinations of variables and time sequences.
• Consolidate data from different databases and prepare an integrated analysis.
• Interpret the statistical significance of project findings.
• Coordinate and keep multiple projects in progress simultaneously.
• Plan and conduct special studies/projects.
• Plan and conduct statistical research projects to evaluate, design, and tabulate results in the general area of statistics and experimental design.
• Study subordinate or peer technical reviews of professional studies, research, and analysis, and challenge or validate the findings by considering the impact on national missions, programs, and/or directives.
• Serve as a recognized authority, expert, and leader in a statistics or related regulatory field of specialization.
• Develop broad, complex programs of scientific conclusions, opinions, and recommendations that are critical to the mission.

Skills: Statistical Analysis, Data Integration, Statistical Programming, Significance Interpretation, Multi-Project Management, Experimental Design, Technical Review, Statistical Leadership

• Serve as a technical authority, leader, and expert in the development and interpretation of organization guidelines.
• Review organizational statistical measurements, reports, and documents for policy implications and impacts on organization-wide, district, and industry activities.
• Report and/or publish, when appropriate, the experimental design and statistical aspects of statistical methodology and research findings.
• Give briefings and presentations on the effort.
• Issue reports, whether for publication or for internal use only, as sole author in collaboration with colleagues.
• Provide expert analysis and advice on Division/District/agency-wide programs or issues of national impact.
• Apply advanced techniques to interpret and evaluate findings resulting from analysis.
• Reconcile conflicts between basic policies and program goals.
• Provide expert advice and recommendations to top management officials.
• Identify reasons for the nature and/or extent of program-related problems that arise and investigate areas in need of improvement.
• Recommend options that remedy problematic situations.
• Write comprehensive resolution recommendations.
• Formally present findings before large and diverse audiences, such as Federal, state, and local government representatives, special interest groups, the community, the media, etc.

Skills: Statistical Leadership, Policy Analysis, Experimental Design, Advanced Analytics, Executive Advisory, Program Evaluation, Technical Reporting, Public Presentation

• Sound knowledge of theoretical and applied statistics.
• An emphasis on experimental design in biotechnology, power calculations, survival analysis, etc.
• Hands-on experience with using and scripting statistical software packages, including JMP, SAS, and R.
• Familiarity with ICH guidelines
• Experience in the drug development field.
• Must be an effective team player.
• Able to thrive in a fast-paced team environment and also work independently on projects.
• Excellent interpersonal, oral, and written communication skills.
• Good leadership ability to influence team members and communicate statistical concepts across functions.

Qualifications: BS in Statistics with 5 years of Experience

• Proficiency in major statistical software packages (e.g., SAS, R, MINITAB, and JMP).
• Ability to work with a wide range of technically and culturally diverse individuals.
• Ability to analyze and interpret scenarios, and through effective study design and statistical analysis, provide answers and appropriate courses of action.
• Knowledge of FDA/EMEA cGMPs and other global regulatory compliance guidelines (e.g., ICH) for drug manufacturing, packaging, and distribution.
• Highly organized.
• Able to work independently or as a team member to meet goals, objectives, and commitments.
• Ability to effectively communicate technical information in an understandable, rational, and concise manner.
• Ability to integrate statistical and quality control concepts.
• Background in the sciences to facilitate a subjective understanding of the problems at hand.

Qualifications: BS in Biostatistics with 4 years of Experience

• Relevant experience for Senior Biostatistician.
• Relevant experience for a biostatistician.
• Working knowledge of SAS.
• Excellent ability to analyze.
• Have working enthusiasm.
• A strong sense of responsibility.
• Ability of learning new knowledge.
• Superb attention to detail and work with quality control.
• Expertly using English in writing and oral communication.
• Must abide by the regulations of the company and be honest.

Qualifications: BS in Mathematics with 6 years of Experience

• Experience with programming in SAS and/or R, SPSS, and familiarity with the implementation of statistical design and analytic methodology. 
• Knowledge of statistical methods that apply to Phase I-IV clinical trials (descriptive analyses, multivariate analysis, regression analysis, logistic analysis, survival analysis, etc.)
• Strong computer skills, including Statistical programs (e.g., SAS, SPSS, or R) and Microsoft Office applications.
• Excellent written and oral communication skills, including grammatical/technical writing skills
• Excellent attention and accuracy with details.
• Ability to confidently communicate with and effectively present information to the internal team.
• Must be able to work in a fast-paced environment with demonstrated ability to effectively manage multiple tasks and projects.
• Strong individual initiative.
• Strong organizing skills.
• Strong commitment to quality.
• Ability to work within a matrix team environment.
• Ability to establish and maintain effective working relationships with coworkers, managers, and clients.

Qualifications: BS in Applied Statistics with 3 years of Experience

• Experience with multiple statistical techniques, including Statistical Analysis, Data Mining, Model Selection, Model Validation, Generalized Linear Models, and Monte Carlo Simulation.
• Strong SAS programming.
• Illustration of the ability to learn multiple programming languages.
• Familiarity with SAS language, graphical and other procedures and options (e.g., Macro language, BASE SAS, SAS/STAT, SAS/GRAPH) or R.
• Good interpersonal communication skills.
• Good attention to detail and ability to work on multiple projects effectively.
• Ability to closely collaborate with project statisticians in the design, analysis, and reporting of clinical and non-clinical studies.
• Ability to provide statistical programming support for clinical and non-clinical statistical research.
• Ability to manipulate data efficiently to enable statistical analysis and programming.
• Ability to program report-ready tables and graphs.
• Experience creating SDTM and ADaM data sets for submission to the FDA.
• Experience generating eCTD submission-ready tables, figures, and listings using SAS.

Qualifications: BS in Data Science with 7 years of Experience

• Experience in Clinical Development in a Pharmaceutical or Biotech.
• Knowledge of SAS/R and various sample size calculation software.
• Strong Technical statistical expertise and leadership within the framework of the indication.
• Comprehensive understanding of study design and regulatory requirements necessary to deliver with high quality and on time.
• Effective delivery of objectives in a complex matrix environment.
• Ability to deal with rapid change.
• Effective verbal and written communication skills in a cross-functional environment.
• Excellent project management skills and attention to detail.
• Good negotiation skills with internal and external stakeholders.
• Demonstrated ability to take measured risks with an overall positive outcome for the business.
• Understanding of epidemiology, modern clinical safety and pharmacovigilance, pharmacokinetics and dynamics, assay development and validation.

Qualifications: BS in Biostatistics with 10 years of Experience

• Modeling experience with SAS, R, or Python skills.
• Good model documentation skills.
• Knowledge of quantitative and analytical methods and data mining.
• Knowledge of principles, standards, practices, and techniques relating to applied statistical and data science methodologies.
• Knowledge of Excel, Word, and PowerPoint.
• Knowledge of GM Financial's core business functions.
• Demonstrated quantitative skills and ability to apply complex statistical and data science methodologies.
• Good data analysis skills.
• Pro-active and detail-oriented.
• Ability to interact collaboratively with internal customers and other statisticians.
• Effective written and verbal presentation skills with an ability to communicate well with management.

Qualifications: BS in Quantitative Finance with 4 years of Experience

• Familiarity or passion in data analytics and/or statistical concepts such as marketing mix modeling, digital attribution modeling, multivariate regression, time-series modeling, Bayesian statistics, segmentation modeling, machine learning, data mining, simulation, optimization, forecasting, and ROI analysis.
• Working knowledge of Excel, SQL, R, and Python or similar.
• Excellent diagnostic skills to identify issues within data sets and identify solutions.
• An effective cross-functional communicator with both written and verbal skills.
• Ability to manage multiple projects with a large cross-functional team.
• Ability and willingness to learn in a fast-paced environment and adapt to the situation.

Qualifications: BA in Economics with 1 year of Experience

• Strong academic background and work experience in statistics.
• Professional consulting experience in Statistics.
• Proficiency in Python/R statistical programming.
• Able to independently write, edit, and debug code.
• Experience with Design of Experiments, Analysis of Variance, Mixed Model Analysis, Regression, and other basic statistical techniques, and the implementation of these techniques in R.
• Experience with Machine Learning, Predictive Analytics, and analysis of data from agricultural experiments.
• Quantitative analytics experience with marketing metrics and tracking.
• Resilient work ethic with the capability to adapt to the situation, flexibility, and nimbleness in terms of work planning.
• Ability to think quickly on your feet.

Qualifications: BS in Agricultural Statistics with 5 years of Experience

• Coursework in longitudinal data analysis, including survivorship methods and random effects models.
• Advanced knowledge and related work experience utilizing SAS programming (SUDAAN, BUGS, S+, MS Access) in longitudinal research investigations and biostatistical data analysis.
• Proficiency in fitting generalized linear models and mixed models.
• Well-developed analytical, organizational, oral, and written communication skills.
• Ability to work with investigators having differing clinical and epidemiological backgrounds.
• Reliable, professional, and flexible.

Qualifications: BS in Epidemiology with 3 years of Experience

• Solid working experience in a statistical or data science capacity.
• Ability to manipulate, analyze, and interpret large data sources.
• Deep understanding of advanced statistical techniques and concepts (e.g., properties of distributions, hypothesis testing, parametric/non-parametric tests, survey design, sampling theory, experimental design, regression/predictive modeling, and more).
• Strong knowledge of a variety of machine learning techniques (clustering, regression, decision trees, etc.) and their real-world advantages/drawbacks.
• Working knowledge of the application of statistical and modeling techniques.
• Proficient in Python (as statistical and ML package tools).
• Proficient in SQL and working with large-scale databases.
• Comfortable in researching and learning new methods, tools, and techniques.
• Experience in media measurement and digital attribution.
• Experience in multivariate testing.
• Experience in online survey methodologies.
• Experience employing causal inference methods.
• Experience in Identity graphs and fraud detection methodologies.
• Experience working with big data technologies (e.g., Spark).

Qualifications: BS in Computer Science with 8 years of Experience

• Good technical and mathematical ability, coupled with the written and oral communication skills, to explain complex techniques and results to non-experts.
• Proficiency in the R programming language, and the willingness and ability to rapidly develop programming skills.
• A willingness to trial, explore, or recommend new software or techniques that may suit specific projects.
• Desire to apply statistical knowledge and technical skills to the healthcare industry.
• High degree of accuracy and attention to detail, along with the ability to maintain a high level of customer service and the quality of deliverables under multiple competing demands.
• Highly organised, with the flexibility to respond to changing deadlines.
• Ability to use initiative and work independently, in addition to working collaboratively within project teams.
• Excellent written English skills.
• Experience with SAS or other programming languages used for data analysis.
• Awareness of data standards for clinical research and statistical analysis (e.g., CDISC, SDTM, ADaM, ICH Statistical Principles for Clinical Trials).
• Experience in and/or knowledge of medical data, clinical processes, or trials.

Qualifications: BS in Health Informatics with 2 years of Experience

• Demonstrated experience and success in interpreting research requests, developing analysis plans, performing high-level statistical analysis, statistical sampling, and computing required sample sizes.
• Experience working on projects of complex scope where independent judgment is used within a broad range of defined procedures and practices.
• Demonstrated success in effectively communicating in written documents and oral briefings, including the reason studies were initiated, justification of methods selected, results, conclusions, and recommendations.
• Experience developing new applications and methodologies for existing or newly acquired data, and leading design efforts in selecting statistical methodology.
• Experience in statistical programming software (e.g., SAS, R, Matlab, Python, etc.).
• Understanding and application of image quality standards, e.g., National Image Interpretability Ratings Scale (NIIRS), other scales, metrics, and image quality equations.
• Knowledge of NSG tasking, collection, processing, exploitation, and dissemination (TCPED) image chain.
• Knowledge of sensor imaging systems, products, and exploitation processes.
• Understanding of the systems engineering lifecycle to include independent testing and data verification.
• Strong written and oral communication skills, with emphasis on briefing to obtain decisions and solve technical issues, and writing test plans/reports.
• Ability to work independently as well as part of a team.
• Willingness to learn, solve problems, and perform in a dynamic work environment.
• Experience working in a DoD or IC operational environment.

Qualifications: BS in Operations Research with 9 years of Experience

• Experience in applying statistical theory and methods to the development and use of complex surveys or information processing systems, including the analysis and interpretation of survey data and evaluation techniques.
• Experience in designing, executing, and performing data analysis and quality control for national-scale complex surveys.
• Excellent knowledge of the statistical theory and methods, including methods for survey frame and sample design, questionnaire development and testing, observation weighting, estimation, imputation, error estimation, quality control, and a range of time-series and other data analysis.
• Experience applying the above statistical techniques to energy industry surveys and data analysis projects.
• Demonstrated ability to develop and apply innovative survey and data analysis methodologies to meet unusual situations or data sets.
• Experience developing purpose-appropriate statistical approaches and analyzing data using statistical techniques such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, linear and multiple regression, analysis of variance, and tests of significance.
• Experience in the use and application of statistics and of statistical software packages such as EViews, SAS, or similar software with comparable statistical analysis functionality.
• Experience directing the activities of junior staff on statistical projects.
• Excellent oral and written communication skills.

Qualifications: BS in Survey Statistics with 13 years of Experience

• Experience working within a regulated environment, strong knowledge of FDA and international regulations.
• Previous experience working in a manufacturing environment.
• Certification in Six Sigma.
• Proficient with at least two statistical packages.
• Advanced knowledge of statistical software packages such as SAS, R, and/or S-Plus.
• Advanced knowledge of a variety of statistical procedures, e.g., nonparametric analysis, linear and non-linear models, categorical data, and survival analysis.
• Advanced knowledge of common and highly complex statistical theory and methods, design of experiments (DOE), experimental design, descriptive and inferential statistics, and computer systems.
• High degree of technical competence and communicative ability, both oral and written.
• Ability to explain statistical concepts to non-statisticians.
• Ability to work to tight deadlines while maintaining high standards.

Qualifications: BS in Industrial Engineering with 8 years of Experience

• Proven statistics experience.
• Strong interest in using statistical methods to solve practical scientific and engineering problems.
• Proficiency in one or more statistical programming languages (R, JMP, SAS, etc.).
• Experience in designing and validating experimental and observational studies.
• Experience building predictive and inferential models for real-world datasets.
• Experience performing data cleaning, transformation, and quality assurance.
• Understanding of probability theory and stochastic processes.
• Excellent written and oral communication skills.
• Good analytical thinking and structured problem-solving.
• Attention to detail and accuracy.
• Ability to work independently with minimal supervision.

Qualifications: BS in Statistical Engineering with 5 years of Experience

• Recent experience conducting statistical analysis and related duties in a training environment.
• Practical experience with data cleaning and geospatial datasets.
• Experience with ggplot and the R programming language.
• Proficiency with MS Office.
• Effective oral and written communication skills with all levels of the organization.
• Strong organizational skills with the ability to manage time and multiple priorities to completion.
• Problem-solving skills with an analytical thought process.
• Ability to adapt to a rapidly changing environment.

Qualifications: BA in Psychology (Quantitative Track) with 2 years of Experience

• Experience in the design, execution, analysis, and interpretation of clinical trials.
• Expertise in a broad range of statistical methodologies.
• Excellent interpersonal and communication skills.
• Record of building and maintaining strong working relationships.
• Demonstrated ability to explain novel and standard methods, both to fellow statisticians and to scientific and clinical colleagues.
• Good understanding of drug development processes and strategies.
• Proven ability to apply innovative statistical thinking to meet project and/or business objectives.
• Experience in submissions and interacting with regulatory bodies.
• Experience working with and co-coordinating CROs.
• Experience with modeling and simulation, and other innovative methodologies.

Qualifications: BS in Pharmaceutical Sciences with 10 years of Experience

• Experience as a statistician in clinical development within a pharmaceutical company, clinical/academic research organization, or university medical statistics department.
• In-depth knowledge and expertise in statistics and its applications to clinical trials.
• Proven record of successfully managing external service providers.
• Knowledge of international clinical research regulations and requirements.
• Knowledge of statistical software (at least SAS®, preferably also R).
• Excellent interpersonal and communication skills.
• Fluent in English.

Qualifications: BS in Clinical Research with 7 years of Experience

• Professional statistical experience, or an equivalent combination of education and experience.
• Thorough knowledge of the research function.
• Proven skills associated with statistical analysis and systems programming.
• Experience with statistical methods and models incorporating a broad range of study designs and traditional and modern statistical approaches, such as linear, logistic, Poisson, survival, and longitudinal models, multiple testing adjustment methods, and machine learning techniques.
• Skills to communicate complex information clearly and concisely, both verbally and in writing.
• Experience providing written interpretation of statistical methods and results, in a manner suitable for publication.
• Excellent time management skills.
• Proficiency using computer software - Word, Excel, PowerPoint, and relational database concepts.
• Strong experience with statistical programming and use of statistical computer packages, including SAS and R.
• Demonstrated skills in project management.
• Skill in prioritizing multiple responsibilities and tasks with excellent organizational skills.
• Thorough skills in analysis and consultation.
• Proven research skills at a level to evaluate alternative solutions and develop recommendations.
• Proven ability to read complex scientific literature, understand appropriate study design, formulate appropriate statistical hypotheses, and propose appropriate statistical methods.

Qualifications: BS in Mathematical Sciences with 9 years of Experience