John Schwarz

About John Schwarz

As a data science leader with a passion for transforming biomedical innovation, I bring a unique blend of technical depth, domain fluency, and strategic leadership honed across the biopharmaceutical industry. With over a decade of experience, I’ve consistently translated complex data into actionable insights that accelerate drug discovery, optimize clinical development, and support commercial decision-making.My career has been defined by building and empowering high-performing, cross-functional teams and delivering AI/ML solutions that scale with scientific rigor and business value. Whether leading translational science initiatives, designing real-world evidence platforms, or partnering across regulatory and R&D, I drive measurable outcomes by aligning data science strategy with enterprise goals.Notable achievements include:Leading multi-disciplinary teams in the development of predictive models that improved clinical trial efficiency and patient stratification.Driving cross-functional adoption of machine learning across R&D, medical affairs, and commercial operations.Building enterprise data science frameworks that are ethically grounded, explainable, and regulatory-aware.As a collaborative leader, I thrive at the intersection of science, data, and impact—working seamlessly across functions to foster innovation, de-risk development pipelines, and shape the future of medicine through data. Open to executive and leadership opportunities in biopharma where I can shape data strategy, lead teams, and deliver cutting-edge AI/ML and computational biologic applications that improve lives.

Experience

1. Director

   Bristol Myers Squibb

   May 2023 — Present · Princeton, NJ, US

   I drive the strategic design and execution of clinical trials in the Immunology, Cardiovascular and Neuroscience therapeutic areas that shape regulatory and commercial outcomes. I partner cross-functionally with clinicians, regulatory teams, and translational medicine scientists to address complex scientific questions into innovative trial designs and actionable insights. My work ensures robust statistical foundations for regulatory submissions and real-world value demonstration, all while building BMS’s external research reputation. I lead end-to-end planning, analysis and reporting with exploratory analysis specifically around existing and novel biomarkers, from traditional assays and multi omic datasets and their role in late stage clinical trials.

Education

• The University of North Carolina at Chapel Hill

  Doctor of Philosophy (Ph.D.), Biostatistics

  2005 — 2010

• University of Louisville

  Master of Arts (MA), Applied Mathematics

  2004 — 2005

• University of Louisville

  Bachelor of Science (BS), Mathematics

  2000 — 2004

Skills

• Statistical Modeling
• Time Series Analysis
• Geospatial Modeling
• Cdisc
• Genetics
• Bayesian Statistics
• Decision Theory
• Human Genetics
• Sas
• Plant Genetics
• Data Science
• Sql
• Bioinformatics
• Quantitative Genetics
• Statistical Sampling
• Design of Experiments
• Statistical Data Analysis
• Clinical Trials
• Life Sciences
• Statistical Programming
• Data Analysis
• Survival Analysis
• CRO
• R
• Statistical Geography
• Biotechnology
• Biostatistics
• Spatial Analysis
• Statistical Consulting
• Spotfire
• Statistics
• Machine Learning
• Statistical Computing