Jessica Claire
Montgomery Street, San Francisco, CA 94105 (555) 432-1000,
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
  • 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.
Expected in 2013 Ph.D. | Statistics Kansas State University, Manhattan, Kansas GPA:
Expected in 2008 Master of Science | Statistics University of the Philippines, , Laguna GPA:
Expected in 2001 Bachelor of Science | Statistics University of the Philippines, , Quezon City GPA:

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.

07/2016 to Current Statistician II Iconma, 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 07/2016 Statistician Department 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 05/2013 Graduate Research Assistant Partners 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 04/2013 Graduate Teaching Assistant University 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 04/2008 Instructor Amikids | 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 09/2004 Instructor Amikids | 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 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
  • 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
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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  • Kansas State University
  • University of the Philippines
  • University of the Philippines

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