As I approach the final stage of my PhD, I am actively seeking industry opportunities in pharmaceutical/healthcare statistics and research software development. If you have any questions about my educational background, professional experiences, or areas of passion, I would be happy to discuss them.
My ideal career involves working alongside dynamic, compassionate, and resilient individuals committed to positively impacting the world. Throughout my academic journey and graduate industry internships, I’ve been fortunate to learn from outstanding professionals and scholars. Along the way, I’ve become proficient in multiple programming languages, including R, Python, SAS, and JSL, and I’m eager to apply my skills and enthusiasm to the industry.
University of North Carolina at Greensboro (UNCG)
PhD in Computational Mathematics (Statistics)
Research Topic: Statistical Learning Methods for High-Dimensional Data with Complex Correlation Settings.
Coursework: Bioinformatics • Complex Data Analysis • Statistical Computing • Statistical Consulting • Statistical Methods • Statistical Linear Models • High-dimensional Data Analysis • Theory of Linear Regression • Spatial Statistics • Categorical Data Analysis • Data Science (using Python)
University of Delhi
M.Sc. in Statistics
Coursework: Probability Theory • Design of Experiments • Sampling Theory • Stochastic Process • Statistical Inference • Linear Algebra • Multivariate Analysis • Generalized Linear Model • Bayesian Inference • Biostatistics • Econometrics and Time Series Analysis • Demography, Statistical Quality Control & Reliability
Department of Mathematics and Statistics, UNCG
Doctoral Researcher/Graduate Teaching Associate
Led a comparative study of regularization approaches for variable selection under different correlation structures, and pioneered the development of a two-stage procedure, rPGBS, to enhance stable variable selection in complex, high-correlation environments.
Led an in-depth study to enhance the classical Apriori algorithm for safety signal detection in post-marketing data, uncovering potential associations between drugs/vaccines and rare adverse events (AEs).
Mentored undergraduate students in the Research Experience for Undergraduates (REU) program.
Instructed and tutored over 500 students in undergraduate Math and Statistics courses.
Department of Statistics, University of Delhi
Graduate Research
Conducted independent research to study the effect of socio-economic factors on the life expectancy of humans using Gapminder datasets.
JMP, SAS
Clinical Graduate Intern
Conducted double programming and unit testing in JMP Scripting Language (JSL) to validate safety analysis reports generated in JMP Clinical using CDISC format clinical data.Novartis Pharmaceuticals
Pharmacometrics Intern
Developed an interactive R Shiny app for exploring and modeling Dosimetry data in RadioLigand Therapy (RLT), a nuclear precision medicine for cancer treatment.
Ministry of Women & Child Development, Government of India
Assistant Section Officer
Structured policy-making for schemes related to nutrition and early childhood care and education of children, and welfare of young girls in India.
R • SAS • JMP • JSL (JMP Scripting Language) • Python 3.0 (matplotlib, plotly, scikit-learn, pandas, NumPy, SciPy) • SQL • MS Excel • LATEX • Monolix • Jupyter Notebook • GitHub • Minitab • C • SPSS
SAS 9.4 Base Programmer (August 2024)
Crash Course in Causality: Inferring Causal Effects from Observational Data by Coursera (April 2024)
AI for Medicine Specialization by Coursera (July 2023)
Drug Development Overview and General Oncology Module 1: Biology of Cancer by Novartis (August 2023)
SAS Visual Statistics on SAS Viya: Interactive Model Building by SAS (May 2023)
Deep Neural Networks with PyTorch by Coursera (August 2022)
My resume is summarized below and available here. Feel free to reach out if you'd like to discuss my academic and research endeavors further.
Department of Mathematics & Statistics
University of North Carolina at Greensboro
116 Petty Building
PO Box 26170
Greensboro, NC 27402-6170
Email: rsarkar@uncg.edu, rsarkar2@icloud.com
LinkedIn: www.linkedin.com/in/reetika-sarkar