Qubit Data partners with biopharma organizations to deliver rigorous real-world evidence, health economics & outcomes research, and advanced analytics.
From early evidence generation to market access, we provide the analytical depth your teams need to make confident decisions.
Study design, claims and EHR analysis, comparative effectiveness, and retrospective cohort studies using secondary data sources to support regulatory and market access decisions.
Cost-effectiveness models, budget impact analyses, PRO instrument development, and systematic literature reviews that build the economic case for your therapy.
Machine learning, predictive modeling, patient segmentation, survival analysis, and epidemiological methods applied to complex biopharma datasets.
Evidence synthesis and dossier development for FDA submissions, NICE appraisals, and other HTA bodies. We help you tell a clear, defensible evidence story.
Evidence planning, gap analyses, and cross-functional advisory support across clinical development, medical affairs, and commercial to align your data strategy.
Scalable pipelines, database architecture, and interactive dashboards that make real-world data accessible and actionable for scientific and commercial teams.
We embed alongside your teams to understand the scientific and commercial context before writing a single line of code or analysis.
We clarify what decision needs to be made and what evidence will be persuasive to your audience — regulators, payers, or clinicians.
We develop a study or model design that is scientifically defensible, pragmatic, and suited to available data sources and timelines.
Statistical analysis and deliverable development under documented, reproducible workflows with full transparency.
We translate findings into clear narratives — publications, slide decks, dossiers — tailored to each stakeholder audience.
Our team brings focused expertise in both methodology and disease areas, so analysis is never generic.
Mehdi NajafZadeh, PhD is a real-world evidence (RWE) strategist and pharmacoepidemiologist with over 15 years of experience generating regulatory- and HTA-grade evidence across rare disease, autoimmune, oncology, and cardio-metabolic therapeutic areas.
As a former Assistant Professor and Principal Investigator at Brigham and Women's Hospital, Harvard Medical School, Mehdi led NIH and FDA-funded research, developing methods for trial–RWD linkage, generalizing trial results to target real-world populations, target trial emulation, causal inference, and health economics and outcomes research (HEOR). He subsequently served as Senior Director of Evidence Generation at Medidata AI, advising biopharma partners on integrated evidence plans, data linkage, and clinical data strategy.
Mehdi has authored 70+ peer-reviewed publications in journals including NEJM, Annals of Internal Medicine, and JAMA Network Open, and is a frequent speaker and session chair at ISPOR, DIA, and ICPE. He founded Qubit Data to bring this depth of scientific expertise directly to biopharma teams navigating complex evidence challenges.
Whether you're planning a new study, need HEOR support for a submission, or want to explore what your data can reveal.
United States
Within 1–2 business days