MAELLE ATTIKOSSIE +1-763-***-****
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LinkedIn.com/MaelleAttikossie
SUMMARY
Detail-oriented Statistical Programmer with experience in clinical trial data. Proficient in SAS and adept in collaborating with cross-functional teams to ensure accurate, timely, and compliant data outputs. SKILLS
Experienced with Study Data Tabulation Model (SDTM), Analysis Data Model (ADaM), Tables/ Listings/Figures (TLFs), and PK/PD data. Strong knowledge of clinical data standards and Clinical Data Interchange Standards Consortium (CDISC) documentation. Technical skills in statistical analysis (SAS, R, SPSS, SQL) and data management.
EXPERIENCE
Gilead Sciences STATISTICAL PROGRAMMER June 2023 - Present
• Analyzes and interprets study documents (protocols, SAPs, CRFs) to develop and validate 25+ SDTM and ADaM domains for multiple Phase I studies, ensuring compliance with CDISC standards
• Participates in the production and validation of pharmacokinetic/pharmacodynamic domains and outputs with SAS programs
• Effectively collaborates with senior programmers to develop mapping specifications and works with biostatisticians to produce accurate drug safety TLFs
• Identifies ambiguities and inconsistencies in statistical analysis plans, and seeks clarification from senior programmers as needed
• Optimized SAS workflows by developing macros to automate data processing, improving programming efficiency by 30%
Health Communication Research Laboratory
GRADUATE RESEARCH ASSISTANT January 2021 - August 2022
• Contacted research project participants and implemented research surveys
• Utilized and managed research participant records with Filemaker Pro software PRACTICUM INTERN June 2021 - January 2022
• Conducted data cleaning and management, ensuring variable consistency across datasets, updating the survey codebook, and validating software skip patterns using Microsoft Excel
• Developed a racial sensitivity training guide with epidemiological and biostatistic analyses using SPSS Federal Reserve Bank of Minneapolis
HUMAN RESOURCES INTERN June to August 2019, May to August 2020
• Utilized R to analyze PPP loan recipient data and presented findings to senior leadership
• Organized and coordinated multiple internal department overviews and presentations EDUCATION
Washington University in St. Louis St. Louis, Missouri
• Master of Public Health: Biostatistics & Epidemiology May 2022 CAPSTONE: Binary logistic regression models performed to predict fertility awareness from education, wealth, and total number of children ever born to a woman. Based on USAID DHS surveys.
• Bachelor of Arts: International and Area Studies, Development (cum laude) May 2021
• Bachelor of Arts: French (cum laude) May 2021
Université Paris 1: Panthéon-Sorbonne Paris, France
• Completed 15 credits, specializing in Global Studies and French