Research Statistician Resume Sample
Lura Effertz
633 Shaun Mission,
San Francisco,
CA
+1 (555) 556 2581
Work Experience
Senior Research Statistician
04/2016
-
PRESENT
New York, NY
- Work with faculty to develop, port and optimize databases. Investigate, analyze and interpret data using multivariate statistical modeling. Provide consulting and programming for database management
- Formulate research designs and suggest ways to improve designs by identifying potential problems, recommending and implementing solutions
- Combine/merge datasets that are acquired from different sources. Create templates for researchers, clean and transfer data to different formats from Excel to SQL and SAS to STATA
- Help debug researcher codes, develop and support C programs to extract and process large datasets
- Work with researchers on grant applications as related to collecting, managing, and disseminating data
- Programming expertise in SAS, particularly SAS statistical procedures
- Experience with HTML and web technologies
- Knowledge of advanced statistical techniques such as time series analysis, panel analysis, hierarchical linear models, structural equation models. Generalized Estimating Equations (GEE), and Generalized Linear Models (GLM) is desirable
Research Statistician
02/2012
-
03/2016
Chicago, IL
- Exceptional oral and written communication skills and the ability to manage time and work independently are essential
- Experience with research projects in an academic environment
- Expertise with XML
- Experience with Perl (or Python) STATA (or SAS)
- Experience with WRDS, CRSP, EDGAR, COMPUSTAT and.or Audit Analytics
- Strong quantitative skills with the ability to provide instruction and consulting
- Learns fast, gasps the 'essence' and can change the course quickly where indicated
- Communicates an understanding of statistical concepts, basic clinical principles, and regulatory standards for the project, and act in accordance with those principles
Research Statistician Regulatory Expert
06/2007
-
09/2011
Detroit, MI
- Directs the activities of other personnel on assigned projects to ensure timely completion of high quality work. Provides independent review of project work produced by other statisticians in the department. Participates in project teams, interfacing as necessary with other departmental project team representatives
- Discusses time estimates for completion of study related activities with stakeholders and management and proactively communicates to management any difficulties with meeting these timelines. Monitors progress on study activities against agreed upon milestones and ensures the study timelines for project deliverables are met. Identifies out of scope tasks and escalates to management
- Generates and/or reviews randomization schedule(s) to ensure there are no errors present and sponsor and protocol requirements are met. Performs ongoing monitoring of actual randomization scheme
- Contributes to decision making on study design and data collection, ensuring alignment with study objectives
- Conducts comprehensive review of protocol to ensure quality
- Responsible for sample size estimation for routine and non-routine studies
- Identifies appropriate statistical methodology needed in support of study objectives; develops statistical methods for routine studies and, with supervision, non-routine studies
- Responsible for randomization specifications for routine studies
Education
Brown University
2002 - 2006
Master's Degree in Statistics
Professional Skills
- Related experience with demonstrated skills/accomplishments
- Strong statistical programming skills (SAS, R)
- Strong computer skills in using SAS, STATA and graphical packages
- Strong skills in C programming
- Excellent writing skills as evidenced by cover letter
- Demonstrated SAS programming skills
- Demonstrated writing, communication, and organizational skills
How to write Research Statistician Resume
Research Statistician role is responsible for programming, software, design, sas, modeling, languages, prototyping, research, training, gis.
To write great resume for research statistician job, your resume must include:
- Your contact information
- Work experience
- Education
- Skill listing
Contact Information For Research Statistician Resume
The section contact information is important in your research statistician resume. The recruiter has to be able to contact you ASAP if they like to offer you the job. This is why you need to provide your:
- First and last name
- Telephone number
Work Experience in Your Research Statistician Resume
The section work experience is an essential part of your research statistician resume. It’s the one thing the recruiter really cares about and pays the most attention to.
This section, however, is not just a list of your previous research statistician responsibilities. It's meant to present you as a wholesome candidate by showcasing your relevant accomplishments and should be tailored specifically to the particular research statistician position you're applying to.
The work experience section should be the detailed summary of your latest 3 or 4 positions.
Representative Research Statistician resume experience can include:
- Works with external partners, including contract research organizations, drug supply and other groups to effectively implement the randomization schedule as planned
- Course work or experience demonstrating statistical programming and data visualization skills in SAS or R
- Demonstrated experience in study planning, programming, and data analysis
- Communicate clearly and effectively in both spoken and written English
- Experience performing statistical tasks in pharmaceutical/healthcare research
- Experience working with databases and large datasets
Education on a Research Statistician Resume
Make sure to make education a priority on your research statistician resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your research statistician experience. For example, if you have a Ph.D in Neuroscience and a Master's in the same sphere, just list your Ph.D. Besides the doctorate, Master’s degrees go next, followed by Bachelor’s and finally, Associate’s degree.
Additional details to include:
- School you graduated from
- Major/ minor
- Year of graduation
- Location of school
These are the four additional pieces of information you should mention when listing your education on your resume.
Professional Skills in Research Statistician Resume
When listing skills on your research statistician resume, remember always to be honest about your level of ability. Include the Skills section after experience.
Present the most important skills in your resume, there's a list of typical research statistician skills:
- Knowledge of, and demonstrated experience with, at least one major computer programming language, or advanced syntax in a major statistical package
- Proficient programming skills with standard statistical software packages
- A strong interest in developing expertise in the content and specific data we are working with (not just playing with numbers in a vacuum)
- Experience writing large, complex programs in C, C++, FORTRAN, or a similar scientific programming language
- Experience using state of the art technology and data science techniques (i.e. machine learning and other sophisticated statistical approaches)
- Experience with one or more of Bayesian statistics and inference, time series/forecasting, system optimization, applied survey data analytics, machine learning
List of Typical Experience For a Research Statistician Resume
1
Experience For Senior Research Statistician Resume
- Very strong computer programming skills
- Excellent skills in object oriented programming and design
- Masters of public health, epidemiology, statistics or related field and 3 years of related experience
- Theoretical expertise and experience in generalized linear models, survival analysis, proportional hazards, and other types of multivariate statistical models
- MS or Ph.D. in Statistics or a related field with a strong statistical background
- Model the efficiency and effectiveness of primary health care delivery and other health interventions
- Demonstrated ability to work productively independently and as part of a team; work extended hours to meet a deadline
- PhD in Statistics, Biostatistics, or Mathematics with at least 8 years of nonacademic related experience
- Organize multiple work assignments and establish priorities
2
Experience For Research Statistician Developer Resume
- Understanding of the application of biostatistics to medical/clinical trials data
- Consults with clients on the use of mathematical statistics, assessing modeling needs and defining project scope
- Takes accountability for ensuring quality in all planning, design and execution of assignments associated with the assigned protocol or project
- Support decision-making and regulatory submissions, publications and scientific presentations
- Reviews study protocols, contributing to protocol statistical design and analysis sections
3
Experience For Research Statistician Regulatory Expert Resume
- Provides leadership to team regarding data analysis
- Knowledge of sampling design, nonresponse adjustment procedures, and analysis of data from complex sample surveys
- Provides statistical consultation for ad hoc analysis requests including design of appropriate analyses to answer relevant questions
- Work successfully within cross-functional teams leading to successful global regulatory filings and approvals
- Be flexible and adapt quickly to the changing needs of the organization
- Performs statistical analyses of moderate to high technical complexity with limited oversight
- Adapts programs and analyses as necessary to meet dynamic changes in analysis specifications
- Collaborates to develop statistical analysis plans, generate table shells, and summarize results of statistical analyses to non-statisticians
4
Experience For Data Research Statistician Resume
- Providing statistical support in areas such as sample design, sample coverage, weighting design and variance estimation, designing and conducting custom analyses as needed
- Provide statistical consulting and analytic support on methodological test designs to enable robust analysis of test results
- Experience with trend analyses, multivariate statistics (parametric/ non-parametric), sampling, bias reduction, indirect estimation, data aggregation techniques, automation, generalization
- Proficient in SAS, R or other statistical packages
- Apply standard statistical and/or data management software package(s) to execute routine/established data processing, data editing, and some data analysis activities
- Contribute to the evaluation and analysis of data, and development of recommended solutions for data challenges
- Demonstrate practical understanding and recognition of statistical concepts and methodologies appropriate for use in the pharmaceutical industry. Provide statistical support for design, analysis, and reporting of clinical, nonclinical or pharmacokinetic trials
5
Experience For Research Statistician Machine Learning High Frequency Data Analytics Resume
- Ensure internal consistency and assess consistency with other studies, if applicable, and provide certification for the protocol review check list. Develop statistical methods sections for routine studies and, with supervision, for non-routine studies, and ensure alignment with analyses as conducted
- Contribute to decision making on study design and data collection, and, with supervision, ensure appropriateness to support study objectives. Work collaboratively with others to develop quality protocols, CRFs, databases, reports, and publications per agreed timelines
- Effectively communicate and report statistical findings to research teams
- Interdisciplinary skills: big data analytics, modeling and simulation, systems design and prototyping
- Experience with SAS and Excel
- Manage client relationships by providing regular status of ongoing projects and engaging in regular dialogue and feedback
- Responsible for sample size calculations for routine studies. Calculate sample size for non-routine studies with supervision
- Author first draft of statistical methods for routine studies, and ensure statistical methods adequately address study objectives. Able to apply statistical knowledge to solve drug development problems. Identify and recommend corrections for flaws in scientific logic and statistical interpretation
- Contribute to statistical methodology for non-routine studies. Mentor non-statistical peers with regard to statistical methodology. Mentor statistical and non-statistical peers with regard to departmental operations. Provide statistical insight into the development of report strategy and assist in ensuring consistency among reports within a project
6
Experience For Discovery Research Statistician Resume
- Ensure clarity, accuracy and consistency of case report forms (CRFs), database definitions, and specifications for analysis data sets for individual studies. Develop statistical analysis plans (SAPs) for routine studies and, with supervision, for non-routine studies, ensure consistency
- Assist development of project conventions and verify project conventions are followed
- Ensure accuracy of database quality assurance checks and assess data accuracy and consistency. Develop database checks for routine situations
- Provides statistically sound data collection, experimental design, and data analysis input to meet project objective
- Lead/Assist in the preparation, presentation, and follow-up of research proposals by providing support and analysis as well as writing sections of the technical proposal
7
Experience For Applied Research Statistician Resume
- Manage large datasets; move and merge data files from different platforms (e.g., SQL, Excel, SAS), clean, aggregate data and perform quality control; evaluate/analyze and interpret data
- Conduct appropriate professional development and scientific stature efforts
- Support R&D teams through engagement in the research process from statistical plan development through analysis and interpretation
- Assist in the design of experiments catered to the research goals of the project
- Develop and implement data collection and statistical analysis plans to address project objectives
- Incorporate quality standards into work routines
- Apply survey data analysis to and interpret survey data in population health and transportation domains for use in model and simulation creation
- Perform data analytics on transportation including buses, trains, metros, parking, tolling, etc. to create a city wide holistic understanding of how a city’s transportation infrastructure is being used
- Keep abreast of the latest developments in the field by participating in conferences and other venues and can champion promising, new methods to explore
8
Experience For Survey & Public Health Research Statistician Resume
- Engages in the development, interpretation, implementation and support of several different types of statistical modeling and data mining techniques
- Reviews data in innovative ways to further the underwriting objectives of the enterprise
- Perform predictive analysis and construct what-if scenarios with confidence predictions to identify the outcomes of various policy decisions
- Proactively identify new areas of research and in partnership with business groups develop value-based proposals for investment
- Experience and knowledge in services domains such as business process outsourcing systems, transportation systems, healthcare systems and financial services is valued
9
Experience For Survey Research Statistician Resume
- Management of statisticians and data managers in R&D, and provision of statistical overview together with the team
- Provision of statistical expertise to support pre-clinical R&D objectives
- Provide statistical expertise to pre-clinical R&D teams
- Oversee and provide support in statistical methodology for experimental design (e.g. DoE); data analysis; interpretation of results, report generation and other documentation as required for
- Serves as a skilled consultant/researcher on important operational and tactical issues
- Works with clients to analyze needs for analytic information and converts them into action items, requests or projects
10
Experience For Research Statistician Resume
- Provides input into the overall strategy and statistical methodologies used to solve quantitative business problems
- Manages and manipulates data for the research team
- Provides statistical support to junior members of the research team
- Gather, analyze, and model data about health gaps/burden, health interventions, and health delivery in countries of interest, e.g. maternal and child health
- Identify features, structures, and relationships in relevant global health and delivery data
List of Typical Skills For a Research Statistician Resume
1
Skills For Senior Research Statistician Resume
- Experience implementing multi-threaded and distributed algorithms
- Experience with grid and cloud computing
- Proven track record of producing high quality deliverables in a timely fashion
- Experience with big data technologies and machine learning
- Strong aptitude in science and firm understanding of the scientific method to facilitate collaboration with scientists and engineers
- PhD in Statistics, Biostatistics, or equivalent experience
- Experience with user interface development preferably for analytical applications
- Algorithm development experience in high frequency machine data analysis or functional data analysis areas
2
Skills For Research Statistician Developer Resume
- PhD) or at least 4-6 years (MS) of relevant experience required
- Experience with applied data analysis
- Experience programming for studies utilizing UK CPRD, US claims data, Medicare, and/or MarketScan datasets highly valued
- Experience with data visualization tools (e.g. Tableau, Spotfire, Microstrategy)
- Strong background in statistical modeling
- Experience with survey analysis and sampling design
- Experience with aspects of spatial statistics, disease mapping, and GIS
- Experience with large-scale data management and data visualization
3
Skills For Research Statistician Regulatory Expert Resume
- Experience with Bayesian statistics
- Conducts statistical programming using statistical software
- Proficient in working in a UNIX environment
- High frequency machine generated data (sensors) modeling
- Conduct data analysis and create reports, outlining findings, challenges and next steps
- Learns and applies new statistical theory and techniques for ongoing projects or proposals
4
Skills For Data Research Statistician Resume
- Accountable for research facilities, equipment and other resources
- Pharmaceutical or related industry experience with clinical, nonclinical or pharmacology trials, as appropriate, including familiarity with expectations of regulatory agencies, especially FDA and EMA
- Identify and understand complex challenges and have the ability to collect and
- Minimal travel required to attend professional conferences and customer visits
- MS or PhD in Statistics, Biostatistics or a highly related field
- Intermediate to advanced proficiency in a statistical software package (e.g., SPSS, SAS)
- Epidemiological background or experience, especially with observational studies and analyses of large, complex databases such as electronic medical records and claims databases
5
Skills For Research Statistician Machine Learning High Frequency Data Analytics Resume
- Investigative and innovative mentality
- Fundamental knowledge of statistical methodology, including general linear models, mixed models, nonlinear models, nonparametric methods, multivariate methods, cluster analysis, principal components, partial least squares, and time series analyses
- Fundamental understanding of clinical/pre-clinical research, including experience engaging in the research process (across design, stats plan and analyses) in studies related to mammalian physiology
- Experience analyzing weighted data generated by complex survey sampling designs in the social sciences, including health and education
- Working knowledge of Six Sigma methodology, statistical process control, industrial process modeling, and QA/QC practices
- Knowledge of machine learning/statistical learning concepts and applications
6
Skills For Discovery Research Statistician Resume
- Advanced graduate-level training and research in modern methods for survival analysis (parametric, semi-parametric, and non-parametric methods)
- Post-graduate level education and technical background in Math, Statistics, Data Science, Data Mining, and/or Economics,
- Expertise in analytical methods for datasets derived from metagenomics, transcriptomics and metabolomics, including multivariate modeling and machine learning is highly desirable
- Communicate complex information in a clear, concise, and effective manner
- PhD in statistics, applied mathematics, computer science, or a related field
7
Skills For Applied Research Statistician Resume
- Minimal travel required to attend statistical conferences and occasional customer visits
- PhD in statistics, biostatistics, or a related field
- Masters in Statistics, Biostatistics or related field with 4+ years of relevant experience or a PhD in Statistics, Biostatics or related field and no additional experience required
- Masters in Statistics, Biostatistics or related field with 6+ years of relevant experience or a PhD in Statistics, Biostatistics or related field with 2+ years of relevant experience
- Pharmaceutical or related industry experience. Including experience and understanding of drug development in a regulated environment
- Experience with Multi-Source (360) Assessment and Feedback (MSAF) or Center for Army Leadership’s Annual Survey (CASA
- >3 years relevant work experience
- Experience with online survey software for the behavioral sciences (e.g., Verint)
8
Skills For Survey & Public Health Research Statistician Resume
- Demonstrated proficiency in the use of multiple statistical packages required
- Strong course work in statistical theory
- MS biostatistics, statistics, clinical epidemiology, health services research, economics or a related field
- Knowledge of SAS (with macros) and Stata required
- Knowledge of Microsoft Word, PowerPoint and Excel required
- High-level of personal initiative; ability to work independently as well as collaborate in teams and with people from all business areas
- Demonstrated competency in multiple statistical techniques (e.g., time series analysis, generalized linear models, Bayesian methods, spatial statistics, survey statistics)
- Contribute to a statistics library so the group has easy access when they need it
9
Skills For Survey Research Statistician Resume
- Look to qualitative data available to find explanations for unusual data patterns
- 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
- Collaborate with clinical and other investigators to develop meaningful questions that can be robustly tested to address a study’s aims
- Independently applies logic to set up cohort based on data plan as provided
- Manages and manipulates data
- Supports the preparation of manuscripts for peer-reviewed journals
- Works effectively as a member of a cross-functional team performing analyses of pharmaceutical research data particularly epidemiologic studies in large claims or electronic medical record databases in Europe and North America
10
Skills For Research Statistician Resume
- Experience with Google Suite (Docs, Sheets, Slides, etc.)
- Designing and conducting impact analyses to understand impact of changes in measurement or to assess impact of external events
- Preparing statistical reports of analyses and presenting findings both internally and to clients and/or in industry committee meetings
- Designing and conducting analyses to understand media behavior usage and trends
- Performs data management tasks of extracting, importing, cleaning, and organizing raw observational data from large, complex databases
- Selects among existing approaches and techniques to complete varying assignments and learns new methods in response to project demands
- Performs programming tasks to create analytic datasets from raw data files
- Performs analytic tasks to ensure quality of analysis/programming of other staff
List of Typical Responsibilities For a Research Statistician Resume
1
Responsibilities For Senior Research Statistician Resume
- Communicates effectively with clinical and regulatory partners
- Experience using SUDAAN
- Ensures programming team or vendor partner understands the nature of the clinical data being collected and the approaches to summarizing the information
- Exercises cost-disciplined science in sizing of the trials and in the planning for the analyses to be conducted
- Write research articles and conference presentations communicating projects and results to the scientific community
2
Responsibilities For Research Statistician Developer Resume
- Knowledge of public health issues in developing world settings
- Expertise in discrete choice modeling
- Flexibly engage in diverse policy and analysis questions that arise related to healthcare delivery and disease control efforts
- Review scientific literature on the delivery of primary healthcare and other health interventions to inform on problems, identify new analyses to perform, and to set the context for current research
- Work closely with team members and external collaborators to develop and adapt models to explore sensitivities and tradeoffs among possible interventions, and optimize the delivery of health care
- Write summaries of results to be used in policy recommendations, white papers, and scientific publications
- PhD in science or in a quantitative field (e.g. Statistics, Biostatistics, Applied Mathematics, Physics, Economics); or PhD in health fields with addition of significant quantitative experience (e.g. Epidemiology, Public Health, Health Services, Global Health)
3
Responsibilities For Research Statistician Regulatory Expert Resume
- Proficiency in at least one data-analysis or scripting language (e.g. R, Python); proficiency with Excel
- Extensive knowledge of diverse statistical methods and application to data
- Initiate, organize, and manage research projects and clearly communicate analysis results to diverse audiences
- Multiple peer-reviewed scientific articles
- Prepares Statistical Analysis Plans
- Performs, interprets and documents basic and complex analysis
- Presents results in written and verbal form
4
Responsibilities For Data Research Statistician Resume
- Understand the mission and strategic goals of the University
- Be able to view and understand the implications of the larger picture both
- Ensures that all analyses conducted have clearly articulated hypotheses associated with them and that the trial design and data collected support conducting the analysis
- Authors and/or reviews protocol synopsis, protocol, statistical analysis plan, data presentation plan, case-report forms, clinical study reports, associated publications and other study level specification documents
- Compliant with BMS processes and SOPs, global and project standards, and responsible for quality of deliverables
- Collaborates with clinicians and medical writers to prepare summaries of results for use in regulatory documents and scientific articles
- Drives, with the Clinician, the interpretation of results, development of key messages and communication to the development team
5
Responsibilities For Research Statistician Machine Learning High Frequency Data Analytics Resume
- Strong interpersonal skills evidenced in interactions with individuals at all levels of the organization, and demonstrated ability to develop relationships within the organization and leverage the formal and informal organizational structure to assist in goal achievement
- Ph.D. in Econometrics, Statistics, or a related quantitative field
- Expertise in Bayesian statistical methods
- Runs data/statistical analysis
- Conducts statistical analysis
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