
Anya Sharma
Statistician
Highly accomplished and results-driven Statistician with over 8 years of experience in designing, implementing, and interpreting complex statistical analyses across diverse datasets. Proficient in advanced statistical modeling, experimental design, and predictive analytics using R, Python, and SAS. Proven ability to translate intricate data insights into actionable recommendations that drive strategic decision-making and improve operational efficiency. Successfully led cross-functional projects, enhancing data quality and analytical rigor. Seeking to leverage expertise in a challenging environment to contribute to data-driven innovation and solve critical business problems.
Harvard University
Ph.D. (September 2012 to May 2017)
University of Cambridge
M.Sc. (September 2010 to June 2012)
BioGenetics Corp. - Boston, MA
Senior Statistician June 2021 to Present 5 years & 1 month
Developed and validated predictive models for patient response to novel therapies, improving treatment efficacy by 15%.
Mentored junior statisticians on best practices in experimental design, statistical software (R, SAS), and data interpretation.
Collaborated with cross-functional teams (clinical, regulatory, R&D) to define study objectives and ensure statistical rigor.
PharmaSolutions Inc. - Cambridge, MA
Statistician July 2017 to June 2021 4 years
Designed and implemented A/B tests for optimizing drug delivery methods, resulting in a 10% improvement in bioavailability.
Automated data cleaning and reporting processes using Python, reducing analysis time by 20 hours per study.
Presented complex statistical findings to non-technical stakeholders, facilitating data-driven decision-making.
Bayesian Hierarchical Modeling for Longitudinal Biomarker Data in Oncology Trials
Journal of Biostatistics (November 2018 to Present)
Dr. J. Smith, Dr. L. Chen
- https://www.journalofbiostatistics.com/article/12345
Impact of Missing Data Imputation Strategies on Clinical Trial Outcomes
Clinical Trials Journal (April 2020 to Present)
Dr. M. Patel
- https://www.clinicaltrialsjournal.org/article/67890
Certified Clinical Data Manager (CCDM)
Society for Clinical Data Management (SCDM) (August 2020 to August 2025)
- https://www.scdm.org/ccdm
Advanced R Programming for Data Science
DataCamp (March 2019 to May 2019)
- https://www.datacamp.com/courses/advanced-r-programming
- R (dplyr, ggplot2, caret)
- Python (Pandas, NumPy, Scikit-learn)
- SAS (Base, Stat, Macro)
- SQL
- Machine Learning (Regression, Classification, Clustering)
- Experimental Design (ANOVA, DOE)
- Bayesian Statistics
- Predictive Modeling
- Data Visualization (Tableau, Power BI)
- Statistical Inference
- Clinical Trial Statistics