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Program Officer Resume Sample


Program Officer Resume Sample

Complete Name
Complete Address
Phone # / Cell Phone #
E-mail Address

PROGRAM OFFICER
Area of Focus: Statistics

CORE STRENGTHS: Project Management, Biostatistics, Infectious Disease Modelling, Longitudinal Large-Scale Data, Computational Skills, Clinical Trials, Information Processing and Synthesis of Scientific Research Results.

SUMMARY OF QUALIFICATIONS

Highly motivated and independent Statistical Scientist, equipped with more than seven years of experience in conducting statistical analyses from biomedical as well as epidemiological and public health studies using SAS and R. Knowledgeable in application of biostatistical methods to the infectious disease setting, primarily HIV/AIDS. Known for exhibiting in-depth knowledge in data management with diverse and complex structures, coupled with aptitude in clearly and concisely translating and presenting results to non-statisticians in written summaries, tables, and graphics. Adept at developing protocol, sample size estimation, and power calculations within cost constraints and given study parameters.  Bilingual in English and Kiswahili. Extensively traveled in different countries, including United States, Canada, France, Italy, Japan, Kenya, Tanzania, and Zimbabwe.

CAREER HIGHLIGHTS

  • Applied in-depth knowledge of training programs and statistical methods pertaining to HIV/AIDS; collaborated closely with world-renowned biostatisticians in the prevention and treatment of HIV/AIDS.
  • Consistently earned high remarks on evaluations for motivating and developing positive working relationships with team members and project teams of varied expertise and seniority levels.
  • Successfully led and completed the full implementation cycle of various projects on time and within budget restrictions; and fulfilled all priorities while preserving scientific integrity of studies.
  • Demonstrated effectiveness in resolving problems through application of appropriate statistical methodology.
  • Exemplified organizational and analytical skills as well as keen eye to details as a key player in interdisciplinary and cross-cultural research teams within large research institutions.

EDUCATION

MASTER OF SCIENCE IN BIOSTATISTICS, MINOR IN HEALTH DECISION SCIENCES, 2003
ABC School, Boston, MA

BACHELOR OF SCIENCE IN ECONOMICS, MINOR IN MATHEMATICS, 1999
DEF University, Towson, MD

PROFESSIONAL EXPERIENCE

BIOSTATISTICIAN, 2008-Present
GHI UNIVERSITY, Chapel Hill, NC
Center for AIDS Research (UNC CFAR)

Collaborate closely with UNC faculty, senior statisticians, principle investigators, other clinical scientists and external experts in all statistical aspects of research projects in the prevention and treatment of HIV/AIDS in order to jointly achieve objectives and timelines. Integrate an understanding of the study objectives, science and biostatistics in study design, statistical analysis, interpretation of results and reporting. Create timelines for statistical project management independently or with minimal assistance ensuring studies are reported to appropriate standards and quality. Proactively identify potential out-of-scope activity and brings to the attention of project leader and lead statistician. Ensure statistical analysis and data management code is documented, replicable, transferable and publishable. Discuss budget options with core director and provide input from several sources for decision-making. Serve as primary contact for the core’s consulting requests and ongoing projects.

Notable Achievements:

  • Demonstrated practical collaborative experience through funded grants and publications.
  • Willingness and ability to establish efficient, consistent and coherent standard operating procedures for biostatistician contributions to research projects.
  • Contributed constructively to project discussions and UNC CFAR’s scientific dialog.
  • Successfully organized and oversaw meeting logistics and facilitated the flow of information within multi-institutional, multi-cultural and cross-discipline research teams with competing priorities by being able to interact effectively with collaborators, administrative staff and senior statisticians.
  • Expertise in statistical packages – SAS and R.

STATISTICAL RESEARCH ASSOCIATE, 2006-2008
JKL COMPANY, Seattle, WA
Vaccine and Infectious Disease Institute (VIDI), Statistical Center for HIV/AIDS Research and Prevention (SCHARP)

Applied statistical and programming expertise in Phase I and III multi-center clinical trials and epidemiological studies dedicated to the prevention and elimination of infectious diseases globally. Functioned as a key contributor in the development of study protocols to ensure the study design met the scientific objectives within imposed constraints, review of Case Report Forms and data edits. Coordinated the timely programming execution and preparation of reports for oversight and regulatory committees (Data Safety Monitoring Board (DSMB), Safety Monitoring Board (SMC) and FDA) for HIV Vaccine Trials Network (HVTN) and HIV Prevention Trials Network (HPTN) studies. Managed project related analyses and proficiently maintained project files with clear documentation of data sources and SAS programs. Performed complex statistical analysis using SAS and R. Presented findings in appropriate tabular and graphical summaries and interpreted statistical results to non-statisticians for clinical interpretation.

  • A valuable resource and collaborator on scientific projects that cut across scientific disciplines Effectively handled the analysis of data in SAS from a multi-site Phase III study that evaluated the effect of antibiotics on maternal health among HIV-positive and -negative pregnant women; successfully collaborated with clinical researchers in preparing the manuscript for publication.
  • Served as study statistician in the successful preparation of SMC reports for “HVTN 071: A Phase IB Open-label Clinical Trial to Expand the Characterization of the Immune Responses to the Merck Adenovirus Serotype 5 HIV”, assumed responsibility in presenting results to the SMC.
  • Pivotal statistical and programming contributor for a multi-site international study “HPTN 046. Phase III Trial to Determine the Efficacy of an Extended Regimen of Nevirapine in Infants Born to HIV Infected Women to Prevent Vertical Transmission”, maintenance of randomization scheme and participation in monthly study updates conference calls with study team including clinicians and study site managers.
  • Prepared analysis plans and assisted in the analysis efforts of HIV vaccine studies using all-subsets regression, identifying correlates of immunity to severe malaria using generalized estimating equations (GEE) and survival analysis for competing risks of hospitalization in children living in malaria-endemic regions in Tanzania.
  • Collaborated effectively with statistical programmers that support research projects. Identified potential data problems from analysistic quesries and took appropriate initiative to guide the process of resolution.
  • Provided guidance to less experienced Statistical Research Associates with programming skills and documentation.

STATISTICIAN, 2004-2006
MNO UNIVERSITY, SCHOOL OF MEDICINE, Baltimore, MD

Provided statistical support in a multidisciplinary research setting for grant proposals, reports and the preparation of manuscripts. Collaboratively worked with data manager in overseeing the creation and maintenance of study data by research assistants and staff. Created analysis data sets from large public-use data sets of complex surveys, including the Medical Expenditure Panel Survey (MEPS) and The Early Childhood Longitudinal Study (ECLS-K) using SAS and Stata.

Notable Achievements:

  • Established and cultivated collaborative efforts with data management and statistical team to facilitate prompt resolution of data entry errors and anomalies by engaging data entry staff in the study planning process.
  • Meticulously documented project files and SAS code.
  • Analyzed data in SAS and Stata to answer a wide range of scientific questions by utilizing generalized linear models, generalized linear latent mixed models, ANOVA, non-parametric methods (Wilcoxon signed-rank test) and Pearson’s correlation.

INDEPENDENT STATISTICAL CONSULTANT, 2002-2004
WORLD HEALTH ORGANIZATION, City, State

Collaborated on the execution of tabular and model-based statistical analyses using Stata on the 2002 World Health Survey Coverage module to assess health system performances for the participating 70 member states. Drafted and revised sections of the final report.

Notable Achievement:

  • Handled and successfully presented country-specific analysis procedures in Stata to representatives of participating countries for a weeklong workshop in Geneva.

HARVARD MEDICAL SCHOOL AND HARVARD SCHOOL OF PUBLIC HEALTH, Boston, MA

Cultivated quality relationships with clinicians and scientists by providing statistical input in formulating problems, conducting analyses and writing reports. Corresponded on the interpretation of analysis results for scientific inference to investigators in writing and at meetings.

Notable Achievement:

  • Successfully completed statistical analyses on data to address research questions through implementation of various statistical techniques, including mixed effects modeling on longitudinal data, non-parametric hypothesis testing, and meta-analysis for publication.

OTHER EXPERIENCE

ABCD SCHOOL OF PUBLIC HEALTH, Boston, MA
Teaching Assistant, Statistical Methods for Health and Social Policy
Teaching Fellow, Decision Analysis for Health and Medical Practices

RST INC., Hanover, MD
Business Operations Associate

UVW COMPANY, Towson, MD
Investment Banking Intern

XYZ UNIVERSITY, Towson, MD
Office Assistant, College of Science and Math
Mathematics Tutor, Tutorial Services
Grader, Mathematics Department
Student Assistant, Cook Library

PROFESSIONAL AFFILIATION

Member, American Statistical Association (ASA)

PROFESSIONAL TRAINING

  • Analysis of Categorical Data, Gary Koch, University of North Carolina at Chapel Hill (UNC), 2010
  • Confidentiality Training for Investigators and Research Staff, UNC, 2009
  • Ethical Conduct of Research with Humans, UNC, 2009
  • Good Clinical Practice, Fred Hutchinson Cancer Research Center, 2008
  • SQL Processing with SAS, SAS Institute, 2008
  • SAS Macro Language, SAS Institute, 2006
  • Analysis of Repeated Categorical Measurement Data, ASA Joint Statistical Meetings (JSM), 2002
  • Design and Analysis of Sample Surveys, ASA JSM, 2002

 AWARDS AND HONORS

  • Fogarty Fellowship in AIDS-Related Epidemiology, Harvard School of Public Health, 2000-2003
  • Industrial and Academic Partnership Board Undergraduate Research Award, Towson University, 1999
  • Summer Undergraduate Research for Undergraduates, National Science Foundation-Research Experience for Undergraduates (REU) and the University System of Maryland, 1998 -1999
  • Dean’s List, Towson University, 1998-1999

 PROFESSIONAL SERVICE / COMMUNITY INVOLVEMENT

  • Participating Statistician, CFAR HIV Clinical Cohort Work in Progress Discussion Group, l UNC Center for AIDS Research, 2009-Present.
  • Statistical Group Member, Standard SAS QC (Quality Checks) Working Group, Statistical Center for HIV AIDS Research and Prevention (SCHARP), Vaccine and Infectious Disease Institute, Fred Hutchinson Cancer Research Center, 2008.
  • Statistical Group Member, Cytokine Flow Cytometry Assays Working Group, SCHARP, Vaccine and Infectious Disease Institute, Fred Hutchinson Cancer Research Center, 2008.
  • Computing Committee Student Representative, Department of Biostatistics, Harvard School of Public Health, 2001-2002.
  • Active Mentor for young women, particularly minorities and students with disadvantaged backgrounds in Science and Mathematics.
  • Chairperson of Academic Enhancement Committee, Towson University Minority Science and Technology Club, 1998-1999.
  • Student Ambassador, International Student and Scholar Office, Towson University, 1997-1998.

TECHNICAL PROFICIENCY

STATISTICAL PACKAGES: SAS/STAT, Macro, Graph and SQL; R and Stata
APPLICATIONS: Microsoft Word, Excel, Access, PowerPoint, and Outlook
TEXT EDITORS: Emacs, UltraEdit and Visual SlickEdit
OPERATING SYSTEMS: Unix , Microsoft Windows and Solaris

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