Montgomery Street, San Francisco, CA94105(555) 432-1000, resumesample@example.com
Professional Overview
Statistician with areas of competence in statistical modeling, design of experiments (DoE), tests of hypothesis, simulation techniques and quality control tools. Experience in the application of statistics in vaccine development and production. Skilled in SAS and R programming. Exceptional communicator who works well on diverse teams.
Core Qualifications
Designs of experiments (DoE)
Statistical modeling
Power and sample size analysis
Multivariate data analysis
Stability analysis
Quality control tools
Specification setting
SAS and R programming
JMP, Minitab, and Design Expert
Accomplishments
Since 2014 up to present, serve as the sole statistician in providing data analysis, statistical plans, experimental designs and any ad hoc statistics support to all departments of GSK Vaccines R&D (formerly with Novartis Vaccines TD) in the US.
Wrote SAS and R programs for automation of statistical analysis which increased department's productivity.
Provided statistical analyses earlier than expected which helped delayed projects get back on time.
Supported various investigations by providing statistical analysis which is key in decision-making.
Education
Expected in 2013Ph.D. | StatisticsKansas State University, Manhattan, KansasGPA:
Expected in 2008Master of Science | StatisticsUniversity of the Philippines, , LagunaGPA:
Expected in 2001Bachelor of Science | StatisticsUniversity of the Philippines, , Quezon CityGPA:
Thesis/Dissertation
Variable Selection in Sparse Ultra-high Dimensional Additive Models
Keywords: nonlinear modeling, high dimensional data, machine learning
Developed a multi-step non-parametric model selection algorithm to select variables in sparse ultra-high dimensional additive models. The algorithm can be used with continuous or discrete response variable, and when the predictors are linearly or nonlinearly related to the response. Simulation results demonstrate that this algorithm is competitive in terms of true and false selection rates and prediction mean squared errors (PMSE). In addition, this algorithm is also used to analyze high throughput data such as genome wide association data.
Experience
07/2016 to CurrentStatistician IIIconma, L.L.C. | Ithaca, NY,
Work in a team of mathematical / statistical
experts to drive the application of advanced and state-of-the-art statistical
principles during development, regulatory filing and life-cycle management of
vaccines. Specifically,
Support
all aspects of non-clinical and pre-clinical statistics within Technical
Development during product and process development, regulatory approval, tech
transfer and life cycle management.
Development
and validation of analytical methods, i.e. bioassays utilizing a structured
statistical approach
Support
preparation of regulatory filings and interact with regulatory agencies such a
as FDA
Evaluation
and implementation of modeling and simulation techniques and advanced
statistical concepts in vaccine development and production
Support
product and process development (Quality by Design initiative) by planning
experiments (e.g. Design of Experiments, specification design, optimisation),
statistical analysis and reporting
Document,
report and communicate work in the form of technical documents, procedures and
presentations
Providing
targeted statistics training to stakeholder groups in the organization
Drive
application and automation by developing, validating and deploying automated
statistical scripts (e.g. in R, SAS) to improve productivity and ease of
application
Support
critical investigations and optimization projects
06/2013 to 07/2016StatisticianDepartment Of Energy | Olympia, WA,
In collaboration with stakeholders, implemented design of experiments and data analysis in support of product and process development, regulatory approval, method transfer and life cycle management. The kinds of data analysis implemented are: statistical modeling, stability analysis and shelf life estimation, agreement analysis for method transfers and assay equivalence, power and sample size determination, specification setting, capability analysis, sampling plans, outlier analysis, statistical analysis for deviation investigations and DoE for parameter optimization.
All work are documented and communicated in the form of technical documents and presentations.
Developed analysis tools using R and SAS which can be used by other statisticians within the team.
Provided training on basic statistics, design of experiments (DoE) and stability analysis to stakeholders in the organization.
Since March 2014, acted as the sole statistician providing support to all projects in the US.
08/2012 to 05/2013Graduate Research AssistantPartners Healthcare System | Chelsea, MA,
Data analyst for research projects related to the ecology and ecological genomics of plant disease.
Using R software, worked on Monte Carlo simulations related to yield loss, disease severity, weather and management variables.
08/2008 to 04/2013Graduate Teaching AssistantUniversity Of Kansas | Lawrence, KS,
Delivered lectures on Introduction to Statistics and Statistics for
Business and Economics. Topics taught are design of experiments, quality control tools, tests of hypotheses, and regression analysis.
10/2004 to 04/2008InstructorAmikids | Norfolk, VA, Philippines
Taught topics on experimental designs, parametric and non-parametric statistical methods, multivariate data analysis, statistical theory and social science statistics.
Statistically analyzed data from university projects and research consultancies.
05/2002 to 09/2004InstructorAmikids | Raleigh, NC,
Taught experimental designs, statistical theory and business statistics.
Most Recent Trainings
Introduction to
Clinical Research, August 3, 2015, For more information
or to verify the authenticity of the certificate please go to
www.pharmaschool.co/cvc and enter the CVC (69218728) and surname (Claire)
Hands-on
Viral Vaccine Manufacturing
at Gold Leaf Biomanufacturing Training and Education Center (BTEC), May 19-23,
2014, Raleigh NC
Bioassay Design,
Development, and Validation Course at USP Headquarters, June 4, 2014, Rockville
MD
Statistical Analysis
of Bioassays Course
at USP Headquarters, June5, 2014, Rockville MD
Presentations
“Feature Selection and Prediction of Quantitative Traits in Genomewide Association Studies (GWAS)”, International Conference on Advances
in Interdisciplinary Statistics and Combinatorics (AISC2012), University of North Carolina at Greensboro, 2012.
“Variable Selection in Sparse Ultra-High Dimensional Additive Models with Continuous or Discrete Response Variable”, 2012 Joint Statistical Meetings. San Diego, California, 2012.
“Estimation of the Provincial Proportion of Stunted Children Aged 05 Years in the Philippines”, 8th Student-Faculty Conference, Manila, Philippines, 2007.
Fellowships and Awards
Young
Researcher Award,
International Conference on Advances in Interdisciplinary Statistics and
Combinatorics (AISC), 2012
Friends
of International Programs Scholarship,
Office of International Programs, Kansas State University, Fall 2012
The Statistics
Scholarship,
Department of Statistics, Kansas State University, Fall 2011 – Spring 2012
Publications
Karen Alviar, Girly Claire, Dorith Rotenberg, AnnaWhitfield. Analysis
of Acquisition and Titer of Maize Mosaic Rhabdovirus in
Its Vector, Peregrinus maidis (Hemiptera:
Delphacidae). Journal of Insect Science, Volume 16, Issue 1, 2016 Feb.
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