Abstract
Embracing open source has been a transformative journey for J&J, fueled by a commitment to collaboration, transparency, and innovation. Our R journey began with a mindset shift—transitioning from decades-old solutions to actively contributing to and harnessing the power of open-source communities. We navigated the challenges of cultural adaptation while cultivating a programmer-friendly environment that promotes sharing and continuous learning.
We enhanced our technical capabilities by open-sourcing key projects focused on R and strengthened our ecosystem and industry partnerships. This webinar reflects on our experiences, lessons learned, and the strategic impact of embracing R and its ecosystem, offering insights for organizations considering a similar path.
DIRECTOR OF LIFE SCIENCES & HEALTHCARE, POSIT
Wednesday, March 12, 2025
12:00 pm ET
Join us on Wednesday, March 12th at 12:00 PM ET to learn how Johnson & Johnson is embracing R and open source in clinical trials. In this web event, the data science team at J&J will walk through their open-source journey in R, building an open-source culture, lessons learned, best practices, and future roadmap opportunities. Stay tuned after the presentation for a live Q&A with the team.
RSVP
Tadeusz Lewandowski
Tadeusz Lewandowski joined the pharmaceutical industry in 2001, as a statistical programmer in CRO, in 2008 joined Roche, worked as a Lead programmer in oncology; since 2016 led a group of statistical programming data analytics - working on AA, ML projects, and software development, in 2019 co-initiated the NEST project a business lead, in 2021, started a chapter of Pan-pharma code collaboration lead. In 2022, Tadeusz joined Jonson & Jonson as a Data Engineering Head and Open-Source group.
Sumesh Kalappurakal
Mr. Sumesh Kalappurakal is the Senior Director, Technology Solutions for Clinical and Statistical Programming at Johnson & Johnson Innovative Medicine. He has been with the company since 2005 and has led a Medical Affairs programming team for twelve years. In his current role, Mr. Kalappurakal and his team are dedicated to developing technology solutions using open-source platforms, particularly R and Python. They establish methodologies, standards, and web applications to fulfill the portfolio requirements of clinical and statistical programming functions. Additionally, the team employs advanced automation techniques that utilize Natural Language Processing (NLP), Artificial Intelligence/Machine Learning (AI/ML), and Robotic Process Automation (RPA) to improve efficiency in clinical trial operations.
Nicholas Masel
Nicholas Masel is the Open-Source Solutions Lead within Clinical & Statistical Programming at Johnson & Johnson. He is focused on leading the transition of J&J’s Statistical Programming group from an SAS-based environment and workflow to one supporting SAS, R, and Python. He is an active member and contributor to several external organizations, including PHUSE, the pharmaverse, and TransCelerate. He also contributes to a handful of packages specific to the pharmaceutical industry, including logrx, envsetup, datasetJSON, and tidytlg.
Mark Bynens
Mark Bynens is Director and Scientific Computing Operations (SCO) Head within Statistics & Decision Sciences (SDS), Global Development, Janssen R&D. In this role, he, together with his team, is responsible and accountable for amongst other: change management, project management and end-to-end management of software applications for statistical evaluation or for business processes, education in-classroom and e-learning, knowledge sharing, software/application acquisition and high-performance computing for intensive data evaluation, simulations, and statistical research. He is one of the main authors of the SCE White Paper and is an R-Consortium ISC member.
The future of pharma is open source.
