Medical Health
Resume:
Dear Sir/Madam,
Please accept the enclosed resume as my application for the Biostatistician position currently being advertised on website. Due to Canadian citizenship, I can just apply TN visa by myself and work in United State.
Here is a brief outline of my experience and skills, which will show you what I can contribute to your team:
3 years of experience of SAS, Macros and SQL procedure with certificates;
Good knowledge of CDISC guidelines and implementation of SDTM, ADaM;
Good experience on manipulating and analyzing large national health administrative databases (CIHI-DAD);
Excellent knowledge about statistics (including descriptive and inferential statistics), epidemiology, and clinical trial;
Attention to detail and ability to independently resolve a variety of issues with minimal supervision;
A team player with high efficiency in multi-tasking
While I was working at the Public Health Agency of Canada (PHAC), I utilized administrative hospital Discharge Abstract Database (CIHI-DAD) to conduct a large population-based cohort study. SAS programming was used as a tool to identify information, manipulate datasets, analyze the cohort and report the study results. Routine statistics methods, regression models and survival analysis technique (including Kaplan-Meier estimate and stratified Cox proportional hazards regression model) were applied to analyze data. I understand the quantitative research methods and database structure, and also know how data processing and organization impact the analysis results and reporting. Now I am trained as clinical SAS programmer. I systematically studied CDISC guidelines and created SDTM DM domain, SV domain and ADaM ADSL dataset by following dataset specification, CDISC standards and SAP. OPEN CDISC and PROC CDISC were used for validation. In addition, I am acquainted with the academic research environment and deeply understand how to cooperate with other colleagues.
I believe my background provides the skills you require for research analyst. I would welcome the opportunity for a personal interview to further discuss my qualifications. Thank you for taking the time to consider this application and I look forward to hearing from you in the near future.
Sincerely,
Li Dai
Citizenship: Canada Security: Reliability Status
Career Goal: Biostatistician
PROFILE
Thesis-based Master of Epidemiology with medical education background
Experience on manipulation of national hospital administrative databases (CIHI, DAD)
Intermediate-level SAS (including Macro and SQL) programmer for quantitative data analysis
Implementation of CDISC standards and validation
Excellent organizational skills and ability to set priorities and meet deadlines
SAS TRAINING AND CERTIFICATES
SAS Certificated Clinical Trials Programmer for SAS 9 (Certification No: CTP00087v9)
SAS Certificated Advanced Programmer for SAS 9 (Certificate No: AP014187v9)
SAS Certificated Base Programmer for SAS 9 (Certificate No: BP02788v9)
Clinical SAS programmer trainee, Bancova LLC, NY, US Summer 2015
oInvolved in writing and reviewing SAP;
oCreated DM and SV domain from raw data by following specification and CDISC STDM;
oWrote specification and created ADSL dataset by following specification and CDISC ADaM;
oPerformed QC validation by OPEN CDISC and PROC CDISC;
oGenerated Tables/Listings/Figures as per required specifications developed using mock shells and SAP;
EDUCATION
Master of Epidemiology Summer 2015
Department of Epidemiology, University of Ottawa, Canada
Thesis: Associations between hypertensive disorders during pregnancy and subsequent end-stage renal disease - a population-based follow-up study
Courses List:
Biostatistics,
Longitudinal and Clustered Data Analysis,
Survival Analysis,
Biostatistics SAS Lab
Intervention studies in Health Research
Advanced Clinical Trials,
Epidemiology I
Epidemiology Methods and Application
Epidemiology Research Using Large Data
Doctor of Philosophy March 2010
Department of Physiology, University of Utah, UT, USA
Thesis: Biophysical and biochemical properties of Slo2.1, an intracellular Na+-activated K+ channel
Master of Medicine July 2001
Department of Medical Genetics, Peking Union Medical College, Beijing, China
Thesis: A study of homogeneous Wilson’s disease gene (ATP7b) in Fugu genome
Bachelor of Medicine July 1994
Peking Union Medical College, Beijing, China
RESEARCH EXPERIENCE
Master student/Contractor March 2014-April 2015
Public Health Agency of Canada, Ottawa, Canada
Conducted a comprehensive literature search for the effects of hypertensive disorder during pregnancy (HDPs) on subsequent end-stage renal disease (ESRD) through Medline and OvidSP platforms, combined and organized search results by EndNote and wrote literature review;
Established HDPs study cohort (over 1,500,000 subjects) by using Canadian hospital administrative database (CIHI-DAD) and identified their subsequent ESRD hospitalization;
Generated metadata by Excel to manage created SAS datasets and new variables/flags;
Cross-walked the ICD-10 diagnosis codes back to ICD-9 in order to compare all of the data from different fiscal years;
Analyzed HDPs cohort by quantitative statistical methods: mean, median, proportion, chi-square test, Mantel-Haenszel test, independent samples t test, ANOVA, general linear regression, logistic regression and ROC analysis;
Calculated hospitalization incidence and rate ratio for ESRD by Poisson regression;
Analyzed the effects of the various types of HDPs on the subsequent ESRD by survival analysis techniques, including Kaplan-Meier estimate and stratified Cox PH regression model;
Calculated Population-attributable fraction (PAF) for ESRD based on the risks estimated by Cox PH regression analysis;
Assessed potential additive interactions between HDPs and other maternal complications in relation to subsequent ESRD by the relative excess risk due to interaction (RERI), the attributable proportion due to interaction (AP) and the synergy index (S);
Investigated the confounding role of diabetes mellitus in association between previous HDPs and ESRD hospitalization by sensitivity analysis;
SAS (including Macro and SQL) was daily used to extract hospital discharge records and variables, generate, transpose and merge datasets for analysis;
Interpreted the study results, summarized by Tables/Listing/Figures and presented finding for monthly reports;
Oral presentation about research results on Health Canada Science Forum 2015;
Research Fellow May 2010-July 2012
Department of Physiology, Queen’s University, Kingston, Ontario, Canada
Studied the pharmacodynamic effects of anorexigenic GI peptide in brain
Graduate Research Assistant August 2004-April 2010
Cardiovascular Research & Training Institute, University of Utah, Utah, USA
Studied the pharmacodynamic properties of activators on Slo2.1 channel
Research assistant/research associate August 1994-December 2001
Department of medical genetics, Peking Union Medical College, Beijing, China
SELECTED PRESENTATION
L Dai, S Bartholomew, Y Chen, SL Liu. Association between hypertensive disorders during pregnancy and subsequent long-term risk of hospitalization due to end-stage disease: a population-based follow-up. Science Forum, Health Canada, February 26, 2015, Ottawa
Li Dai and A.V.Ferguson. Subfornical organ neurons are CCK responsive. Experimental Biology 2011, Washington, D.C, US.
Li Dai and Micheal Sanguinetti. Role of Charged Residues in the S1-S4 Domains of Slo2.1 K+ channels. Biophysics Conference, 2009, Boston, US.
SELECTED PUBLICATIONS
Dai L, Smith PM, Kuksis M, Ferguson AV. Apelin acts in the subfornical organ to influence neuronal excitability and cardiovascular function. J Physiol, 2013 Jul 1; 591:3421-32
Li Dai, Vivek Garg, Michael Sanguinetti. Activation of Slo2.1 Channels by Niflumic Acid. Journal of General Physiology. 2010 Mar; 135(3): 275-95.
Yu J, Hu S, Wang J, Wong GK, Li S, Liu B, Deng Y, Dai L, et al. A Draft Sequence of the Rice Genome, Science, 2002 April 5; 296(5565):79-92.
PROFESSIONAL DEVELOPMENT
MS Office (Word, Excel, PowerPoint), EndNote, GraphPad,
Molecular Biology & Pharmacology: DNA sequencing, bioinformatics analysis, biophysical data analysis, DNA/protein technology, PCR;
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