Maheshkumar Mahesh Umbarkar

About Maheshkumar Mahesh Umbarkar

I am a strategic leader and R/Shiny professional with 9+ years of experience and expertise in clinical data analytics and software innovation within the pharmaceutical and healthcare industries. I specialize in designing and delivering scalable, modular R Shiny applications and analytic pipelines that transform complex clinical data into actionable insights, accelerating safety reviews and patient-centric research.At Bristol Myers Squibb, I lead cross-functional teams in developing cutting-edge tools that integrate standardized clinical datasets (SDTM, ADaM) with advanced visualization and automation frameworks. I champion modern software practices, including CI/CD pipelines with GitHub Actions & Docker, fostering reproducibility and agile delivery.With a strong foundation in statistics, highlighted by a Gold Medal in my postgraduate studies, and hands-on experience in healthcare data management, I bridge the clinical, technical, and regulatory domains. I mentor teams transitioning from traditional programming to open-source ecosystems, driving innovation and collaboration.An active industry contributor, I have presented on emerging technologies such as Large Language Models at major conferences, including PharmaSUG and PHUSE, sharing thought leadership on the future of clinical programming.Passionate about leveraging technology to improve healthcare outcomes, I focus on empowering teams with robust, scalable analytic solutions that accelerate data-driven decision-making in clinical development.

Experience

1. Senior Manager Innovation & Standards

   百时美施贵宝

   Oct 2023 — Present · Hyderabad, IN

   As a Senior Manager at Bristol Myers Squibb (BMS), I lead the development and delivery of R Shiny applications and internal R packages to support clinical data exploration, safety reviews, and cross-functional insights. Key Responsibilities & Achievements Application Development• Built modular R Shiny apps using teal for safety review and exploratory analytics• Delivered Clinical Data Explorer (CDEx) to integrate SDTM and ADaM datasets• Created patient profile dashboards for subject-level AE and efficacy trends• Used plotly, ggplot2, reactable, and gtsummary for visualizations Automation & CI/CD• Developed internal R packages using devtools, roxygen2, and testthat• Implemented GitHub Actions for continuous integration and deployment• Deployed applications to RStudio Connect with reproducible pipelines🧠 Clinical Data Programming• Applied CDISC standards (SDTM & ADaM) to clinical tools• Designed workflows for signal detection and safety listings🤝 Stakeholder Collaboration• Translated user needs into functional modules and agile iterations• Led demos, collected feedback, and refined user-facing tools Leadership & Mentorship• Led a hybrid team of 15+ programmers across in-house and FSP models• Mentored SAS programmers in R, Shiny, and package development Conference Presentations• PharmaSUG 2025 – Paper DV-394: Clinical Data Explorer: Transforming Clinical Data into Actionable Insights• PHUSE SDE Hyderabad – Jun 8, 2024: LLMs Unleashed: A New Chapter in Clinical Programming?• GSK Bangalore (Tech Talks) – April 20, 2024: LLMs Unleashed: A New Chapter in Clinical Programming? Tools & TechnologiesProgramming• R, RStudio, SAS, Shiny, teal, tidyverse, data.tableDevelopment• devtools, usethis, testthat, renv, modular Shiny appsCI/CD & DevOps• GitHub Actions, Git, Jira, Docker (basic), RStudio ConnectVisualization• ggplot2, plotly, reactable, gtsummaryClinical Data• SDTM, ADaM, safety listings, signal detection workflows

Education

• Ahmednagar College Ahmednagar

  B.Sc., Statistics

  2011 — 2014

• Mahatma Gandhi Jr college, Pravaranagar

  HSC, Science

  2009 — 2011

• North Maharashtra University

  Master of Science - MS, Statistics

  2014 — 2016