Research Statistician Resume Samples

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KK
K Kessler
Korbin
Kessler
807 Syble Via
Los Angeles
CA
+1 (555) 702 1611
807 Syble Via
Los Angeles
CA
Phone
p +1 (555) 702 1611
Experience Experience
Dallas, TX
Research Statistician
Dallas, TX
Walsh-McCullough
Dallas, TX
Research Statistician
  • Assist with training and overseeing the work of junior staff, potentially serving as an administrative supervisor
  • Apply standard statistical and/or data management software package(s) to execute data processing and data analysis activities
  • Develop solutions to problems where established theories and techniques have not been identified or where a precedent may not exist for procedures to be used
  • Assist with or lead the preparation research proposals by writing sections of the technical proposal and providing statistical analysis support
  • Apply standard statistical and/or data management software package(s) to execute data processing and data analysis methodologies
  • Assist in the development of innovative sampling design and analysis procedures
  • Apply working knowledge of related disciplines
San Francisco, CA
Applied Research Statistician
San Francisco, CA
Wiegand LLC
San Francisco, CA
Applied Research Statistician
  • Collecting, developing, scoring and analyzing performance data
  • Conduct qualitative data analysis and reporting to include coding, theme and/or frequency analysis
  • Developing tasks, scenarios, scoring protocols, and manuals for performance, selection, and classification measures
  • Producing technical reports, articles and other documents following scientific and APA guidelines
  • Identifying literature and synthesizing findings for specific projects
  • Develop tasks, scenarios, scoring protocols, and manuals for performance, selection, and classification measures
  • Produce technical reports, research articles and other documents following scientific and APA guidelines
present
Los Angeles, CA
Senior Research Statistician
Los Angeles, CA
Ritchie, Schmeler and Kovacek
present
Los Angeles, CA
Senior Research Statistician
present
  • Provide statistical expertise for design, analysis and reporting of clinical or scientific research studies
  • Ensures consistency among protocols within a project, and provides certification for the protocol review check list
  • Mentor junior staff, proactively help with both their technical and career development, and seek general feedback and technical input from colleagues
  • Proactively propose opportunities for productivity improvements and implementation plans
  • Develops randomization specifications for non-routine studies with supervision
  • Under the supervision of the PST statistician, contribute to the development of the Product Safety Statistical Analysis Plan (PSSAP)
  • Work with Safety Programming to deliver defined outputs per agreed-upon timelines
Education Education
Bachelor’s Degree in Statistics
Bachelor’s Degree in Statistics
University of Kentucky
Bachelor’s Degree in Statistics
Skills Skills
  • Participate in appropriate professional development and scientific stature activities, including publications, presentations, independent research, and continuing education
  • Develop solutions to problems where established theories and techniques have not been identified or where established procedures are not yet available
  • Prior experience in each of the following: experimental design, general and generalized linear mixed models, non-linear mixed models, multivariate statistics, and non-parametric analysis
  • Strong problem solving and critical thinking skills
  • Two or more years of professional experience after PhD
  • Demonstrated ability to foster & maintain relationships at all levels of the organization
  • Ability to actively engage with internal partners & external collaborators to align strategies & success measures in analytics
  • Knowledge and experience in plant biology, breeding, agronomy, and/or genetics
  • Knowledge and experience with multi-environment agricultural field trials
  • PhD in Statistics, Biostatistics, Bioinformatics or a Statistics related discipline
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7 Research Statistician resume templates

1

Applied Research Statistician Resume Examples & Samples

  • Identifying literature and synthesizing findings for specific projects
  • Collecting, developing, scoring and analyzing performance data
  • Developing tasks, scenarios, scoring protocols, and manuals for performance, selection, and classification measures
  • Preparing and managing large, complex databases for use in data analysis and being capable of detecting systemic patterns of missing data, outliers and analysis of distribution properties
  • Using computers, software applications and computational/analytic methods for quantitative and qualitative data analysis
  • Producing technical reports, articles and other documents following scientific and APA guidelines
  • A Master’s Degree, I/O Psychology or related field
  • 4+ years of relevant experience
  • 1 year experience in research and development (R&D)
  • Strong Technical report writing ability
  • Strong Analytic Abilities
  • Statistical Software for the Behavioral Sciences
  • Survey Software for the Behavioral Sciences
  • Database development and maintenance
  • Statistical analysis (per Abstract)
  • Quantitative and Qualitative data analysis
  • Applied research in leadership and/or leader development
  • Ability to apply detailed knowledge of organizational procedures to make independent decisions and serve as a credible resource for a senior management team
  • Ability to be flexible to handle multiple priorities and to work limited overtime as necessary
2

Applied Research Statistician Resume Examples & Samples

  • Contribute to the development of innovative, accurate, timely and high quality organizational and workforce solutions and services
  • Conduct reviews of academic and military literature and synthesize findings
  • Develop, administer and analyze surveys, assessments and performance data
  • Prepare and manage large, complex databases for use in data analysis (e.g., detect systemic patterns of missing data, outliers, and analysis of distribution properties)
  • Develop tasks, scenarios, scoring protocols, and manuals for performance, selection, and classification measures
  • Conduct qualitative data analysis and reporting to include coding, theme and/or frequency analysis
  • Conduct quantitative data analysis using a range of advanced statistical and modeling techniques (e.g., longitudinal analysis, multiple regression, logistic regression, hierarchical linear modeling, confirmatory and exploratory factor analysis, structural equation modeling, item response analysis and multi-dimensional scaling)
  • Produce technical reports, research articles and other documents following scientific and APA guidelines
  • Contribute to proposals and other efforts to develop business
  • Master’s Degree in Industrial/Organizational Psychology, Cognitive Psychology, Organizational Behavior, Organizational Development, or a related subject
  • 4+ years of professional research experience conducting quantitative and qualitative data collection and analyses and preparing technical reports/briefings
  • Strong technical report writing ability
  • Intermediate to advanced proficiency with MS Office applications (Word, Excel, Access, PowerPoint)
  • Intermediate to advanced proficiency in statistical software packages (e.g., SPSS, SAS)
  • Authorization to work for any U.S. employer
  • 4 years of experience conducting advanced statistical analysis
  • Experience in conducting applied research in the areas of leadership and leader development
  • Experience with online survey software for the behavioral sciences
  • Knowledge of or previous experience conducting research for the U.S. Army
3

Survey & Public Health Research Statistician Resume Examples & Samples

  • Assisting with or leading the preparation of research proposals by writing sections of the technical proposal and providing statistical analysis support
  • Contributing statistical expertise to study design, including sample size and power calculations as well as developing sampling designs (determining stratification and allocation to strata, sample size) Develop and execute weighting plans, which includes non-response bias analysis and adjustment
  • Leading and supervising the development of analysis plans to answer research questions
  • Ensuring integrity of data collection and analysis techniques by monitoring protocols and procedures to ensure compliance with proper statistical techniques
  • Overseeing the preparation and processing of data sets using SPSS/SAS/other statistical packages for modeling by checking for any inaccuracies, cleaning, adjusting and weighting raw data, considering whether and how to compensate for missing data, and ensuring proper documentation
  • Supervising and providing instructions on statistical methods for consultants collecting and tabulating data
  • Analyzing and interpreting data to identify significant differences in relationships among sources of information
  • Writing the statistical, sampling, analysis, and/or methodology sections of technical reports
  • Presenting statistical methods and survey findings to clients
  • Collaborating and sharing knowledge with other statisticians, including those outside the public health domain
  • Assisting with training and mentoring of less experienced data analysts and statisticians
  • Participating in appropriate professional development and eminence activities, including publications, presentations, and continuing education
  • Ph.D. in Statistics, Biostatistics, Mathematics, or other statistical area and at least five years of experience as a statistician in the survey research and/or public health research field
  • Advanced knowledge and experience in sampling design, weighting, estimation, nonresponse adjustment, and analysis of data from complex sample surveys and large-scale public health studies
  • Knowledge of the methods, principles, and processes of epidemiologic, program evaluation, health behavior, and survey research
  • Advanced understanding of statistical and analytic methods in processing survey data
  • Five or more years of experience in analyzing and processing large datasets
  • Proficiency in translating complex data analysis and research findings into presentations that are easy to understand by a non-technical audience
  • Expert use of statistical packages including SPSS and/or SAS
  • Excellent verbal and written skills (as evidenced by a writing sample and oral presentation)
  • Analytic capabilities: descriptive and basic statistics (t-test, chi-square, ANOVA, MANOVA), non-parametric statistical tests (goodness of fit, Wilcoxon signed ranks, Mann-Whitney, McNear exact), regression, discriminate analysis, factor analysis, latent class analysis, structural equation modeling, survival analysis, cluster analysis, Bayesian techniques, and bias/sensitivity analysis techniques (Bonferroni correction, bootstrapping, probabilistic sensitivity analysis, and Monte-Carlo techniques)
  • 2+ years consulting experience
  • Ability to adapt to a dynamic, fast-paced environment working with clients
  • Demonstrated ability to be a self-starter and able to work in a virtual team environment
4

Survey Research Statistician Resume Examples & Samples

  • Lead survey sampling and analysis tasks
  • Master's degree in Statistics, Biostatistics, or Mathematics with at least 6 years’ experience in the aforementioned areas of study
  • Experience with SAS and Excel
  • Demonstrated data management skills
  • Excellent writing skills as evidenced by cover letter and/or writing samples
  • Inquisitive and detail oriented. Must enjoy investigating details and figuring out the solutions to problems
  • Experience in survey statistics or sampling design
5

Research Statistician Resume Examples & Samples

  • Critically evaluating data for quality measures such as completeness, accuracy, and applicability, applying understanding of relevant research area nomenclature
  • Clearly and concisely explaining the results of statistical analyses and simulation studies to team members
  • Maintaining excellent communication with team members
  • Programming experience in Java, C/C++, Python, or MatLab
  • Experience interacting with data stored in relational databases such as MS Access and SQL Server
  • Experience with Hadoop, MongoDB, or other big data technologies
  • Experience working effectively both individually and as a member of multi-functional, multi-disciplinary teams
6

Research Statistician Resume Examples & Samples

  • Minimum of a Masters Degree in Statistics, Biostatistics, Bioinformatics or a Statistics related discipline OR ability to complete Masters by December 2016
  • Ability to actively engage with internal partners & external collaborators to align strategies & success measures in analytics
  • PhD in Statistics, Biostatistics, Bioinformatics or a Statistics related discipline
  • Two or more years of professional experience after PhD
  • Background and experience in Bayesian applications, spatial statistics, geo-referenced data analytics, and/or image analytics
  • Programming skills in R, SAS, MATLAB and/or Python
  • Knowledge and experience with multi-environment agricultural field trials
  • Prior experience working for a global organization
7

Research Statistician Developer Resume Examples & Samples

  • Ph.D. in Econometrics, Finance, Statistics, or a related quantitative field
  • 1 year of experience in econometrics, financial modeling, or time series research (which may include Ph.D. dissertation research)
  • Computer programming experience
8

Applied Research Statistician Resume Examples & Samples

  • Demonstrated experience with Statistical Software for the Behavioral Sciences such as SPSS and Advanced Excel
  • Demonstrated experience with Survey Software for the Behavioral Sciences such as Verint
  • Experience with database development and maintenance
  • Experience with advanced statistical analysis and modeling techniques such as longitudinal analysis, reliability analysis, canonical correlation, multiple regression, logistic regression, hierarchical linear modeling, cluster analysis, confirmatory and exploratory factor analysis, structural equation modeling, content/text analysis, conjoint analysis, automatic interaction detection, item response analysis and multi-dimensional scaling
  • Experience with both quantitative and qualitative data analysis including coding, theme and frequency analysis
  • Experience with applied research in leadership and/or leader development
  • Experience conducting and writing literature reviews and strong technical report writing
  • Master’s Degree in I/O Psychology (other Psychology Research degrees may be considered I/O strongly preferred)
  • Experience with Military leadership research and Military competency development
  • Demonstrated understanding of current Military operational environment, culture and doctrine
  • Experience working within or in support of the Regular Army, Army Reserve, and/or Army National Guard
  • Experience with Multi-Source (360) Assessment and Feedback (MSAF) or Center for Army Leadership’s Annual Survey (CASA
  • Experience communicating research findings to client and experience interacting with clients
9

Research Statistician Resume Examples & Samples

  • Consult with scientists to design experiments, carry out statistical analyses, and explain scientific conclusions
  • Collaborate on long-term scientific projects (e.g., GWAS, gene expression, proteomics)
  • Develop new methodologies and software implementations as needed
  • Serve as a statistical advisor and point of contact to designated functions within Genentech Research
10

Senior Research Statistician Resume Examples & Samples

  • Work with the PST Statistician to ensure appropriate analyses and interpretation of safety data for both planned and ad-hoc activities, including development of product safety documents (e.g., safety summary documents for regulatory submissions), safety signal evaluations, and other safety-related regulatory requests/activities
  • Under the supervision of the PST statistician, contribute to the development of the Product Safety Statistical Analysis Plan (PSSAP)
  • Work with Safety Programming to deliver defined outputs per agreed-upon timelines
  • Develop standardized reusable interactive safety monitoring software objects and views for querying the safety data base and ad-hoc objects and views, as needed, for evaluating potential safety signals
  • Work with PST Statisticians, as well as Medical Safety Evaluation, to formulate, conduct, and interpret appropriate queries of safety data using interactive safety monitoring tools
  • Participate in the evaluation of alternative tools for monitoring safety data
  • Participate in the development and subsequent utilization of statistical tools for conducting meta-analyses of safety data
  • Responsible for compliance with applicable corporate and divisional policies and procedures
  • MS/PhD in Statistics, Biostatistics or related field. Minimum 0 years of experience (PhD) or 4-6 years (MS) is required
  • High degree of technical competence
  • Sound oral and written communication skills
  • Competent in experimental design, descriptive and inferential statistics, and computer programming
  • Ability to identify data or analytical issues and either apply skills and knowledge to solve problems or seek help to achieve solutions
11

Senior Research Statistician Resume Examples & Samples

  • Help build statistical capabilities in drug discovery & exploratory clinical/translational research by providing strategic input and leadership to analyze large and complex data sets derived from patient samples and pre-clinical models of disease. Objectives may be to support novel target identification, identifying markers of disease progression and treatment response and for patient selection or stratification in clinical trials. Sources of data will likely include Genomics (high throughput gene expression arrays, CGH arrays, next generation sequencing, microRNA, etc.), Proteomics, Imaging, and flow based cytometric assays, along with the clinical and pre-clinical pharmacology data
  • Develop and maintain good working relationships with discovery and clinical scientists, statisticians, computational biologists, and external collaborators to drive program decisions as part of a multidisciplinary team
  • Collaborate with external colleagues on consortia and other research projects relevant to biomarker discovery and evaluations
  • Maintain and expand expertise in various computing tools to leverage internal and external data sets to drive decisions. Examples of such tools include R/Bioconductor, Spotfire, SAS, UNIX utilities, JAVA, Perl, Python, etc. Continue development of various analysis tools to improve the process
  • Proactively seek input and review from other experts within and outside the group on various projects and research activities, and share technical information when appropriate
  • Proactively propose opportunities for productivity improvements and implementation plans
  • Mentor junior staff, proactively help with both their technical and career development, and seek general feedback and technical input from colleagues
  • 0+years (PhD) years of related experience with demonstrated skills/accomplishments. Grade level and title will be commensurate with experience and expertise
  • Ph.D. in biostatistics, with some coursework/experience in bioinformatics, biochemistry, molecular biology, genetics, and related subjects
  • Expertise in genetic, genomic and proteomics data analysis, including raw data processing and modeling of processed/normalized data, and familiarity with various technological platforms
  • Expertise in statistical methodologies such as predictive modeling and inference, machine learning methods, mixed effects models, multivariate analysis, etc
  • Relevant academic/industry experience on topics related to drug discovery, clinical genomics and other applications mentioned above
  • Strong programming and computing skills
  • Excellent communication, presentations and report writing skills, and the ability to explain complex technical details in simple language
12

Senior Research Statistician Resume Examples & Samples

  • Participate in the development and subsequent utilization of statistical tools for conducting meta-analyses of safety date & for benefit-risk analyses
  • Works collaboratively with multi-function teams to complete project deliverables per agreed timelines. Keeps management Informed on important scientific/statistical issues that may arise, in a timely manner
  • Communicates a basic understanding of scientific principles for assigned projects and acts in accordance with those principles. Clearly communicate fundamental statistical concepts to other statisticians, scientists, and other personnel
  • Participates in departmental activities including recruiting , training/mentoring, research efforts and cross-functional collaborations
  • MS or PhD in Statistics, Biostatistics or a highly related field. 0+ years (PhD) or at least 4-6 years (MS) of relevant experience required
  • Competent in experimental design, descriptive and inferential statistics, biometrics/biopharmaceutical applications and computer programming
  • Identifies data or analytical issues and either applies skills and knowledge to solve problems or seeks help to achieve solutions
  • Builds strong relationships with peers and cross functionally with partners outside of team to enable higher performance. Raises the bar and is never satisfied with the status quo
  • Creates a learning environment, open to suggestions and experimentation for improvement. Embraces the ideas of others, nurtures innovation and manages innovation to reality
  • Learns fast, grasps the 'essence' and can change the course quickly where indicated
13

Research Statistician Resume Examples & Samples

  • Provides leadership for the correct design of multiple series of experiments and data collection practices to achieve the required statistical power to realize prediction agriculture project goals. Critically involved in the development and communication of experimental protocols
  • Provides leadership for the definition and application of appropriate statistical methods for analysis of complex multivariate data sets
  • Works with information management specialists to ensure the correct implementation and deployment of statistical methods within internal information management systems
  • Whenever necessary, will undertake research and initiate research collaborations to develop novel statistical methods to design and analyze results obtained from complex series of experiments
  • The position will be based in Johnston, Iowa. As a member of global teams the statistician will work across many locations. Monitors research progress and meets with participating researchers to identify and resolve problems and impacting project timelines and success
  • Remains current on new technology by participating in professional meetings, career development activities and by encouraging others to bring information into research activities
  • Clearly communicates to other team members and Research leadership the correct interpretation of the results obtained from complex series of experiments
  • Recruits, hires, orients, organizes, supervises, and evaluates performance of any additional statisticians added to the team in the future
  • Implements and monitors safe working practices
  • Should be experienced in the use of the major statistical software packages such as R, ASreml or SAS
  • Experienced with experimental design, applications of mixed model methodology, maximum likelihood, predictive modeling and Bayesian methods to large multi-dimensional data sets
  • Required to have excellent written and spoken communication skills that are necessary for effective local teamwork and participation in and engagement with the international scientific community
  • A good understanding of crop physiology, plant genetics and plant breeding is desired
  • Expected to travel and work at multiple locations
  • Independent programming skills will be a major advantage
14

Research Statistician Resume Examples & Samples

  • 5 or more years related experience with observation studies, evaluations, and a background in either biostatistics, statistics, healthcare data analysis, epidemiology or related
  • Solid understanding of health care industry, products, and systems
  • Knowledge of study design, randomization, stratification and matching techniques
  • Expert-level use of SAS, R or other statistical computing analytical tools; SQL, Hive or other database querying experience, preferably with large datasets and databases
  • Strong skills to effectively communicate and negotiate across the business and external health care environment
  • Strong organizational and leadership skills; excellent analytical and problem solving skills
15

Research Statistician Regulatory Expert Resume Examples & Samples

  • Design of complex survey research studies
  • Advanced analyses on external databases using SAS
  • Identify and assess emerging research and methodologies
  • Program execution
  • Working with third party vendors
  • Report writing for internal leadership committees and Regulatory Affairs
  • Advanced in degree in a quantitative discipline such as Statistics, Biostatistics, Operations Research (PhD preferred)
  • 8 – 10 years of relevant experience, preferably in the CPG industry
  • Experience with consumer insights research methodologies, including survey design and analysis
  • Experience with regulatory type roles
  • Strong proficiency in SAS (preferred) or other statistical software
  • Modeling and advanced analytics background and experience – particularly in demographic or behavioral sciences
  • Strong leadership as well as oral and written communications skills
16

Research Statistician Resume Examples & Samples

  • Collaborate with clinical and other investigators to develop meaningful questions that can be robustly tested to address a study’s aims
  • Design a wide range of scientifically rigorous studies (early to late phase trials, individual and cluster randomized trials, longitudinal cohort studies, case control studies, etc.)
  • Develop detailed statistical analysis plans for interim monitoring and final analyses of study data
  • Apply standard statistical and/or data management software package(s) to execute data processing and data analysis activities
  • Oversee the analysis and processing of complicated data using methods such as longitudinal data analysis, hierarchical linear models (HLM), multivariate general linear models, mixed models, categorical data analysis methods, survival analysis, Bayesian analyses and inference, non-parametric methods and population pharmacokinetic methods
  • Develop solutions to problems where established theories and techniques have not been identified or where a precedent may not exist for procedures to be used
  • Assist or lead in the preparation of research grant applications and proposals by providing statistical expertise as well as writing relevant sections of the technical proposal and providing budgetary input
  • Assist with training and overseeing the work of junior staff, potentially serving as an administrative supervisor
  • Participate in efforts that enhance professional development and scientific stature
  • Publish findings and methodologies in peer-reviewed research journals and lead or contribute to sections of research reports
  • Master’s degree in statistics, biostatistics, epidemiology, statistical genetics or related field and at least 3 years of related experience (preferably 5 years of experience) or a Doctorate and no experience
  • At least 1 year of data management and analytic experience with SAS, STATA, or R in an environment outside the classroom
  • Strong oral and written skills (as demonstrated in a writing sample and possible presentation) are essential
  • Experience in phase I-IV clinical trials and/or epidemiologic studies
  • Experience in collaborative, multicenter, clinical studies
  • Expertise in Bayesian statistical inference
  • Demonstrated evidence of publications in peer-reviewed journals
17

Data Research Statistician Resume Examples & Samples

  • Bachelor degree or equivalent work experience
  • 3+ years relevant work experience
  • Excellent communication and interpersonal skills. You'll interact with a variety of partners and will need a high level of comfort in communicating with professionals of different backgrounds
  • Ability to motivate yourself and be able to get up to speed quickly - functioning independently in a supportive team
  • Excellent time-management and project-management skills: you'll be constantly challenged to balance multiple initiatives, projects and perspectives
  • Competency with Microsoft Office Products, and collaborative software used for projects with remote team members and stakeholders
  • Capable of working in a virtual and multinational team environment
18

Research Statistician Resume Examples & Samples

  • Contribute to the execution of project or task planning and helps assess the impact of industry trends, policy, or standard methodologies
  • Develop and implement appropriate studies within the context of the company’s research program including study design, protocol development, data collection and management, project coordination, and research administration
  • Apply principles, theories, and concepts in a field of scientific specialty to a wide variety of research studies
  • Apply working knowledge of related disciplines
  • PhD in Statistics, Epidemiology, and/or Survey Methods with at least 8 years of post-dissertation experience using advanced statistical methods
  • At least 5 year of data management and analytic experience with SAS, STATA, or R
  • To qualify, applicants must be legally authorized to work in the United State and should not require now, or in the future, sponsorship for employment visa status
19

Research Statistician Machine Learning High Frequency Data Analytics Resume Examples & Samples

  • High frequency data modeling
  • Digital signal processing
  • Graduate degree in statistics, computer science, electrical engineering, operations research or related quantitative fields
  • PhD with relevant academic focus or a Master’s degree with two or more years of experience developing and implementing machine learning algorithms in industrial settings
  • Expertise in software development/programming
  • Experience writing large, complex programs in C/C++, Java or a similar language
  • Experience in statistical programming using either SAS, R, Python, Octave or MATLAB
20

Research Statistician Developer Resume Examples & Samples

  • PhD in statistics, computer science, bioinformatics, operations research, numerical analysis, applied mathematics, physics, or a related field
  • Strong background in statistical and machine learning methods for building regression models and analyzing high-dimensional data
  • Experience writing large, complex programs in C, C++, Java, FORTRAN, or a similar scientific programming language
  • Strong background in statistical computing
21

Discovery Research Statistician Resume Examples & Samples

  • Designing experiments to identify & assess new molecules, develop & implement novel technologies, and optimize formulations & delivery systems
  • Analyzing and interpreting multi-variate data to identify & evaluate biomarkers, discover disease targets, and develop processes to make our medicines
  • Developing statistical tools and methods to address emerging scientific/engineering problems and accelerate decision-making in R&D
  • Qualified candidates must be legally authorized to be employed in the United States. Lilly does not anticipate providing sponsorship for employment visa status (e.g., H-1B or TN status) for this employment position
  • Make the impossible possible in your quest to make life better
  • Know, learn, and keep up-to-date on the statistical and scientific advances to maximize your impact
  • We’re doing extraordinary things. Join us and you could be, too!
22

Research Statistician Resume Examples & Samples

  • Environmental research, including design and data collection
  • Large datasets with stochastic variables
  • Statistical analysis in a research or applied setting
  • Interpretation and formal presentation of data
  • Interest in economic analysis as it pertains to public policy
23

Research Statistician Resume Examples & Samples

  • Design and analyze experimental and quasi- experimental evaluations in a variety of topic areas
  • Assist in the development of innovative sampling design and analysis procedures
  • Apply standard statistical and/or data management software package(s) to execute data processing and data analysis methodologies
  • Assist with training and mentoring of less experienced statisticians
  • Participate in appropriate professional development and scientific stature activities, including publications, presentations, independent research, and continuing education
  • PhD in Statistics, Biostatistics, or Mathematics with at least 6 years of nonacademic related experience
  • Demonstrated experience in contract research
  • Demonstrated experience in proposal writing
  • Strong oral and written skills (as demonstrated in a writing sample and possible presentation)
  • Demonstrated evidence of publication in peer-reviewed journals
  • Experience in observational and analytic methods for program evaluation and monitoring
  • Knowledge of sampling design, non-response adjustment procedures, and analysis of data from complex sample surveys